[ { "question_id": "RSF-Q00001290", "scene_id": "RSF-S00001290", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001290_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001290.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00044" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00044" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00044" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00044" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001293", "scene_id": "RSF-S00001293", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-left?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "fishing boat", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001293_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001293.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001295", "scene_id": "RSF-S00001295", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001295_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001295.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001296", "scene_id": "RSF-S00001296", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001296_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001296.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001298", "scene_id": "RSF-S00001298", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the top-center?", "answer": "cargo truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001298_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001298.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-center", "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00057" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001300", "scene_id": "RSF-S00001300", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001300_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001300.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001303", "scene_id": "RSF-S00001303", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001303_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001303.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00035" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00035" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00035" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00035" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001304", "scene_id": "RSF-S00001304", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the bottom-left?", "answer": "truck tractor", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001304_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001304.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00056" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001311", "scene_id": "RSF-S00001311", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A321", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001311_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001311.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001314", "scene_id": "RSF-S00001314", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001314_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001314.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001324", "scene_id": "RSF-S00001324", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001324_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001324.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001329", "scene_id": "RSF-S00001329", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001329_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001329.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001336", "scene_id": "RSF-S00001336", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001336_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001336.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001338", "scene_id": "RSF-S00001338", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001338_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001338.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", 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"text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001345_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001345.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ 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"Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001351", "scene_id": "RSF-S00001351", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-left?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001351_t1.tif", "t2": null }, 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}, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001360", "scene_id": "RSF-S00001360", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given 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null }, "scene_graph": "scene_graphs/RSF-S00001390.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", 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"large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001392", "scene_id": "RSF-S00001392", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001392_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001392.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001393", "scene_id": "RSF-S00001393", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "trailer", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001393_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001393.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001396", "scene_id": "RSF-S00001396", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001396_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001396.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001399", "scene_id": "RSF-S00001399", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-left?", "answer": "A350", "answer_type": "text", "choices": [ "A220", "A350", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001399_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001399.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001402", "scene_id": "RSF-S00001402", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle in the center-left?", "answer": "truck tractor", "answer_type": "text", "choices": [ "dump truck", "trailer", "cargo truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001402_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001402.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-left", "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { 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"claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001404", "scene_id": "RSF-S00001404", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001404_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001404.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001406", "scene_id": "RSF-S00001406", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "fishing boat", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001406_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001406.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001409", "scene_id": "RSF-S00001409", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A330", "A321", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001409_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001409.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001411", "scene_id": "RSF-S00001411", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A220", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001411_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001411.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001412", "scene_id": "RSF-S00001412", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A321", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001412_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001412.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001413", "scene_id": "RSF-S00001413", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001413_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001413.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001415", "scene_id": "RSF-S00001415", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001415_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001415.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001418", "scene_id": "RSF-S00001418", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 747", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001418_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001418.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001419", "scene_id": "RSF-S00001419", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001419_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001419.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001420", "scene_id": "RSF-S00001420", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001420_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001420.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001421", "scene_id": "RSF-S00001421", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "ARJ21", "answer_type": "text", "choices": [ "A321", "A330", "ARJ21", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001421_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001421.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "arj21", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001424", "scene_id": "RSF-S00001424", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001424_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001424.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001429", "scene_id": "RSF-S00001429", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A220", "A350", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001429_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001429.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001430", "scene_id": "RSF-S00001430", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001430_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001430.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001434", "scene_id": "RSF-S00001434", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A350", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001434_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001434.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001437", "scene_id": "RSF-S00001437", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A321", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001437_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001437.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001438", "scene_id": "RSF-S00001438", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "fishing boat", "dry cargo ship", "engineering ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001438_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001438.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001439", "scene_id": "RSF-S00001439", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-center?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 747", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001439_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001439.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001440", "scene_id": "RSF-S00001440", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001440_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001440.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001442", "scene_id": "RSF-S00001442", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001442_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001442.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001443", "scene_id": "RSF-S00001443", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001443_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001443.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001445", "scene_id": "RSF-S00001445", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001445_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001445.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001446", "scene_id": "RSF-S00001446", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "C919", "answer_type": "text", "choices": [ "A220", "C919", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001446_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001446.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": 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"program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001448", "scene_id": "RSF-S00001448", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001448_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001448.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001449", "scene_id": "RSF-S00001449", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001449_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001449.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001451", "scene_id": "RSF-S00001451", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A220", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001451_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001451.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001453", "scene_id": "RSF-S00001453", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 737", "Boeing 777", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001453_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001453.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001454", "scene_id": "RSF-S00001454", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "fishing boat", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001454_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001454.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001456", "scene_id": "RSF-S00001456", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001456_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001456.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001458", "scene_id": "RSF-S00001458", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001458_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001458.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001459", "scene_id": "RSF-S00001459", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001459_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001459.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001461", "scene_id": "RSF-S00001461", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001461_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001461.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001465", "scene_id": "RSF-S00001465", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001465_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001465.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001468", "scene_id": "RSF-S00001468", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001468_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001468.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001471", "scene_id": "RSF-S00001471", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001471_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001471.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001472", "scene_id": "RSF-S00001472", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001472_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001472.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001473", "scene_id": "RSF-S00001473", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A330", "A321", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001473_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001473.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001474", "scene_id": "RSF-S00001474", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001474_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001474.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001475", "scene_id": "RSF-S00001475", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001475_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001475.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00040" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00040" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00040" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00040" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001478", "scene_id": "RSF-S00001478", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001478_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001478.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001482", "scene_id": "RSF-S00001482", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "trailer", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001482_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001482.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001483", "scene_id": "RSF-S00001483", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001483_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001483.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001487", "scene_id": "RSF-S00001487", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A350", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001487_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001487.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001489", "scene_id": "RSF-S00001489", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "warship" ], 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"value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001491", "scene_id": "RSF-S00001491", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001491_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001491.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001492", "scene_id": "RSF-S00001492", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001492_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001492.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001493", "scene_id": "RSF-S00001493", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001493_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001493.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001495", "scene_id": "RSF-S00001495", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001495_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001495.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001497", "scene_id": "RSF-S00001497", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "other airplane", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001497_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001497.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001500", "scene_id": "RSF-S00001500", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001500_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001500.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001503", "scene_id": "RSF-S00001503", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "engineering ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00001503_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001503.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001507", "scene_id": "RSF-S00001507", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001507_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001507.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001512", "scene_id": "RSF-S00001512", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001512_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001512.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00025" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001513", "scene_id": "RSF-S00001513", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A220", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001513_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001513.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001514", "scene_id": "RSF-S00001514", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001514_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001514.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001516", "scene_id": "RSF-S00001516", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "other airplane", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001516_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001516.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001518", "scene_id": "RSF-S00001518", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001518_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001518.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001519", "scene_id": "RSF-S00001519", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001519_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001519.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001520", "scene_id": "RSF-S00001520", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001520_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001520.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001524", "scene_id": "RSF-S00001524", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-center?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "warship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001524_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001524.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001525", "scene_id": "RSF-S00001525", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001525_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001525.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001526", "scene_id": "RSF-S00001526", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001526_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001526.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001527", "scene_id": "RSF-S00001527", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A220", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001527_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001527.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001528", "scene_id": "RSF-S00001528", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001528_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001528.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00097" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00097" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00097" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00097" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001529", "scene_id": "RSF-S00001529", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "fishing boat", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001529_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001529.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001536", "scene_id": "RSF-S00001536", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A350", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001536_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001536.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001537", "scene_id": "RSF-S00001537", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-left?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A330", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001537_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001537.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": 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"node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001540", "scene_id": "RSF-S00001540", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001540_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001540.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001541", "scene_id": "RSF-S00001541", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A350", "A321", "A220" 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true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001545", "scene_id": "RSF-S00001545", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001545_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001545.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001546", "scene_id": "RSF-S00001546", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A330", "other airplane", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001546_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001546.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001549", "scene_id": "RSF-S00001549", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft in the bottom-left?", "answer": "ARJ21", "answer_type": "text", "choices": [ "A330", "ARJ21", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001549_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001549.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "arj21", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": 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"Boeing 787", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001550_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001550.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, 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"claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001552", "scene_id": "RSF-S00001552", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the aircraft in the center-right?", "answer": "C919", "answer_type": "text", "choices": [ "A321", "A220", "A330", "C919" ], "images": { "mode": "single", "t1": "images/RSF-S00001552_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001552.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001554", "scene_id": "RSF-S00001554", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00001554_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001554.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001555", "scene_id": "RSF-S00001555", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001555_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001555.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00028" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00028" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00028" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00028" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001556", "scene_id": "RSF-S00001556", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001556_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001556.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": 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[ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001562", "scene_id": "RSF-S00001562", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001562_t1.tif", "t2": null }, 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"n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001564", "scene_id": "RSF-S00001564", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-left?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001564_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001564.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-left", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": 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"images/RSF-S00001569_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001569.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-left" }, "outputs": {}, 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"node_ids": [ "n_obj_00010" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001573", "scene_id": "RSF-S00001573", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-right?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 787", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001573_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001573.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-right", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001574", "scene_id": "RSF-S00001574", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001574_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001574.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001576", "scene_id": "RSF-S00001576", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001576_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001576.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001579", "scene_id": "RSF-S00001579", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001579_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001579.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001580", "scene_id": "RSF-S00001580", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001580_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001580.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001581", "scene_id": "RSF-S00001581", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001581_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001581.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001582", "scene_id": "RSF-S00001582", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A330", "A220", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001582_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001582.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001583", "scene_id": "RSF-S00001583", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00001583_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001583.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001584", "scene_id": "RSF-S00001584", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001584_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001584.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001585", "scene_id": "RSF-S00001585", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001585_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001585.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001588", "scene_id": "RSF-S00001588", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001588_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001588.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001589", "scene_id": "RSF-S00001589", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 777", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001589_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001589.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001592", "scene_id": "RSF-S00001592", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001592_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001592.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001593", "scene_id": "RSF-S00001593", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "other airplane", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001593_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001593.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001595", "scene_id": "RSF-S00001595", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001595_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001595.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001596", "scene_id": "RSF-S00001596", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A220", "other airplane", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001596_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001596.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001597", "scene_id": "RSF-S00001597", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001597_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001597.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001598", "scene_id": "RSF-S00001598", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "dump truck", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001598_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001598.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001599", "scene_id": "RSF-S00001599", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001599_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001599.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001602", "scene_id": "RSF-S00001602", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the large vehicle in the bottom-center?", "answer": "truck tractor", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001602_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001602.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001604", "scene_id": "RSF-S00001604", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the bottom-right?", "answer": "trailer", "answer_type": "text", "choices": [ "cargo truck", "trailer", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001604_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001604.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001605", "scene_id": "RSF-S00001605", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001605_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001605.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001606", "scene_id": "RSF-S00001606", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001606_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001606.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001607", "scene_id": "RSF-S00001607", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001607_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001607.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001609", "scene_id": "RSF-S00001609", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A220", "A330", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001609_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001609.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001610", "scene_id": "RSF-S00001610", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A350", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001610_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001610.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001613", "scene_id": "RSF-S00001613", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A220", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001613_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001613.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001616", "scene_id": "RSF-S00001616", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001616_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001616.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001618", "scene_id": "RSF-S00001618", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001618_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001618.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001619", "scene_id": "RSF-S00001619", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001619_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001619.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001620", "scene_id": "RSF-S00001620", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001620_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001620.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001626", "scene_id": "RSF-S00001626", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001626_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001626.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001627", "scene_id": "RSF-S00001627", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001627_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001627.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001633", "scene_id": "RSF-S00001633", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the large vehicle in the bottom-left?", "answer": "truck tractor", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001633_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001633.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00053" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001634", "scene_id": "RSF-S00001634", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001634_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001634.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001636", "scene_id": "RSF-S00001636", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001636_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001636.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001637", "scene_id": "RSF-S00001637", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001637_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001637.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001638", "scene_id": "RSF-S00001638", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A220", "A321", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001638_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001638.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001641", "scene_id": "RSF-S00001641", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001641_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001641.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001642", "scene_id": "RSF-S00001642", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle in the bottom-left?", "answer": "trailer", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001642_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001642.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001645", "scene_id": "RSF-S00001645", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001645_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001645.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", 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"Boeing 787", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001648_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001648.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, 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"edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001651", "scene_id": "RSF-S00001651", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A220", "A350", "A321", "A330" ], "images": { "mode": "single", "t1": 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"fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "other ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00001655_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001655.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", 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"aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001661", "scene_id": "RSF-S00001661", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A350", "A330", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001661_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001661.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": 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{ "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00038" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00038" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00038" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001665", "scene_id": "RSF-S00001665", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category 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"edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001667", "scene_id": "RSF-S00001667", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001667_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001667.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001670", "scene_id": "RSF-S00001670", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001670_t1.tif", "t2": null }, "scene_graph": 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"answer" } } }, { "question_id": "RSF-Q00001674", "scene_id": "RSF-S00001674", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-center?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A330", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001674_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001674.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-center", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001676", "scene_id": "RSF-S00001676", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001676_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001676.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": 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"t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001678", "scene_id": "RSF-S00001678", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center?", "answer": "A350", "answer_type": "text", "choices": [ "A220", "A350", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001678_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001678.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001679", "scene_id": "RSF-S00001679", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle in the top-right?", "answer": "trailer", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001679_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001679.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-right", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001680", "scene_id": "RSF-S00001680", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001680_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001680.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001682", "scene_id": "RSF-S00001682", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A330", "A220", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001682_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001682.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001683", "scene_id": "RSF-S00001683", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A321", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001683_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001683.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001685", "scene_id": "RSF-S00001685", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001685_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001685.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001689", "scene_id": "RSF-S00001689", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001689_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001689.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001690", "scene_id": "RSF-S00001690", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001690_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001690.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001691", "scene_id": "RSF-S00001691", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 747", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001691_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001691.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001692", "scene_id": "RSF-S00001692", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001692_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001692.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001693", "scene_id": "RSF-S00001693", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "engineering ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00001693_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001693.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001695", "scene_id": "RSF-S00001695", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001695_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001695.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001698", "scene_id": "RSF-S00001698", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A321", "A220", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001698_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001698.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001703", "scene_id": "RSF-S00001703", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001703_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001703.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001707", "scene_id": "RSF-S00001707", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft in the center-left?", "answer": "C919", "answer_type": "text", "choices": [ "C919", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001707_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001707.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-left", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001708", "scene_id": "RSF-S00001708", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001708_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001708.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001710", "scene_id": "RSF-S00001710", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001710_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001710.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001714", "scene_id": "RSF-S00001714", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001714_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001714.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001715", "scene_id": "RSF-S00001715", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001715_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001715.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001716", "scene_id": "RSF-S00001716", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A220", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001716_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001716.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001719", "scene_id": "RSF-S00001719", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001719_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001719.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001724", "scene_id": "RSF-S00001724", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001724_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001724.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001725", "scene_id": "RSF-S00001725", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001725_t1.tif", "t2": null }, "scene_graph": 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"field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001727", "scene_id": "RSF-S00001727", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "trailer", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001727_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001727.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": 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"t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001729", "scene_id": "RSF-S00001729", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001729_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001729.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001731", "scene_id": "RSF-S00001731", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001731_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001731.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, 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} } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001733", "scene_id": "RSF-S00001733", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 787", "Boeing 747" ], "images": { "mode": 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{ "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001737", "scene_id": "RSF-S00001737", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A220", "A350", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001737_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001737.json", "support": [ { "claim_type": "Existence", "time": 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"Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle in the center-right?", "answer": "tractor", "answer_type": "text", "choices": [ "dump truck", "tractor", "cargo truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001739_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001739.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-right", "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "tractor", "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001742", "scene_id": "RSF-S00001742", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": 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"subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001752_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001752.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001755", "scene_id": "RSF-S00001755", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001755_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001755.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001757", "scene_id": "RSF-S00001757", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "A350", "answer_type": "text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001757_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001757.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, 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"edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001764", "scene_id": "RSF-S00001764", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A350", "A330", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001764_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001764.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": 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"Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001773", "scene_id": "RSF-S00001773", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001773_t1.tif", "t2": null }, "scene_graph": 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"answer" } } }, { "question_id": "RSF-Q00001776", "scene_id": "RSF-S00001776", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001776_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001776.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001778", "scene_id": "RSF-S00001778", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A220", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001778_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001778.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001779", "scene_id": "RSF-S00001779", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001779_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001779.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001781", "scene_id": "RSF-S00001781", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001781_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001781.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00103" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00103" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00103" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00103" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001782", "scene_id": "RSF-S00001782", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "trailer", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001782_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001782.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001784", "scene_id": "RSF-S00001784", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A350", "A321", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001784_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001784.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001785", "scene_id": "RSF-S00001785", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001785_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001785.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001786", "scene_id": "RSF-S00001786", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A220", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001786_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001786.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001788", "scene_id": "RSF-S00001788", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001788_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001788.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001789", "scene_id": "RSF-S00001789", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001789_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001789.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001790", "scene_id": "RSF-S00001790", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001790_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001790.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001794", "scene_id": "RSF-S00001794", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001794_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001794.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001796", "scene_id": "RSF-S00001796", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "other airplane", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001796_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001796.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001798", "scene_id": "RSF-S00001798", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001798_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001798.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001802", "scene_id": "RSF-S00001802", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001802_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001802.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001806", "scene_id": "RSF-S00001806", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001806_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001806.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00024" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00024" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00024" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00024" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001809", "scene_id": "RSF-S00001809", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001809_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001809.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001811", "scene_id": "RSF-S00001811", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A330", "A350", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001811_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001811.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001812", "scene_id": "RSF-S00001812", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001812_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001812.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001815", "scene_id": "RSF-S00001815", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001815_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001815.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001818", "scene_id": "RSF-S00001818", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001818_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001818.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001823", "scene_id": "RSF-S00001823", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00001823_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001823.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001825", "scene_id": "RSF-S00001825", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A220", "A321", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001825_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001825.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001827", "scene_id": "RSF-S00001827", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001827_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001827.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001828", "scene_id": "RSF-S00001828", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001828_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001828.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001829", "scene_id": "RSF-S00001829", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001829_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001829.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001831", "scene_id": "RSF-S00001831", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001831_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001831.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001832", "scene_id": "RSF-S00001832", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A220", "A330", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001832_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001832.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001834", "scene_id": "RSF-S00001834", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001834_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001834.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001835", "scene_id": "RSF-S00001835", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A220", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001835_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001835.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001837", "scene_id": "RSF-S00001837", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001837_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001837.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001839", "scene_id": "RSF-S00001839", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001839_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001839.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001840", "scene_id": "RSF-S00001840", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001840_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001840.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001847", "scene_id": "RSF-S00001847", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001847_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001847.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001851", "scene_id": "RSF-S00001851", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001851_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001851.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001852", "scene_id": "RSF-S00001852", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001852_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001852.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001853", "scene_id": "RSF-S00001853", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-center?", "answer": "A330", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001853_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001853.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-center", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001860", "scene_id": "RSF-S00001860", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001860_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001860.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001861", "scene_id": "RSF-S00001861", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A220", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001861_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001861.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001862", "scene_id": "RSF-S00001862", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center?", "answer": "A350", "answer_type": "text", "choices": [ "A220", "A350", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001862_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001862.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001864", "scene_id": "RSF-S00001864", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the top-right?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001864_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001864.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-right", "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001867", "scene_id": "RSF-S00001867", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle in the top-center?", "answer": "tractor", "answer_type": "text", "choices": [ "tractor", "truck tractor", "dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001867_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001867.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-center", "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "tractor", "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001869", "scene_id": "RSF-S00001869", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A330", "A350", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001869_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001869.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001871", "scene_id": "RSF-S00001871", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the aircraft?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 787", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001871_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001871.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001874", "scene_id": "RSF-S00001874", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001874_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001874.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001876", "scene_id": "RSF-S00001876", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001876_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001876.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001880", "scene_id": "RSF-S00001880", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001880_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001880.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001881", "scene_id": "RSF-S00001881", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001881_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001881.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001883", "scene_id": "RSF-S00001883", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle in the top-right?", "answer": "truck tractor", "answer_type": "text", "choices": [ "dump truck", "trailer", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001883_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001883.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-right", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001884", "scene_id": "RSF-S00001884", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001884_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001884.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001886", "scene_id": "RSF-S00001886", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001886_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001886.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001889", "scene_id": "RSF-S00001889", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001889_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001889.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001890", "scene_id": "RSF-S00001890", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001890_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001890.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001891", "scene_id": "RSF-S00001891", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001891_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001891.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00031" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001892", "scene_id": "RSF-S00001892", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship in the center?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "warship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001892_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001892.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001893", "scene_id": "RSF-S00001893", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001893_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001893.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001894", "scene_id": "RSF-S00001894", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 747", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001894_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001894.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001895", "scene_id": "RSF-S00001895", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A321", "A350", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001895_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001895.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001896", "scene_id": "RSF-S00001896", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001896_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001896.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001897", "scene_id": "RSF-S00001897", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001897_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001897.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001898", "scene_id": "RSF-S00001898", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001898_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001898.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001901", "scene_id": "RSF-S00001901", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A220", "other airplane", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001901_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001901.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001902", "scene_id": "RSF-S00001902", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft in the top-center?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001902_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001902.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-center", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001903", "scene_id": "RSF-S00001903", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the center-left?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "trailer", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001903_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001903.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-left", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001907", "scene_id": "RSF-S00001907", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001907_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001907.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00012" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001908", "scene_id": "RSF-S00001908", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001908_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001908.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001910", "scene_id": "RSF-S00001910", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001910_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001910.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001912", "scene_id": "RSF-S00001912", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001912_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001912.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001919", "scene_id": "RSF-S00001919", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001919_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001919.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001921", "scene_id": "RSF-S00001921", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00001921_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001921.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001923", "scene_id": "RSF-S00001923", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "dump truck", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001923_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001923.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001926", "scene_id": "RSF-S00001926", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the center?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001926_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001926.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center", "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00039" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001927", "scene_id": "RSF-S00001927", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001927_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001927.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001929", "scene_id": "RSF-S00001929", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the bottom-right?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001929_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001929.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001930", "scene_id": "RSF-S00001930", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001930_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001930.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001931", "scene_id": "RSF-S00001931", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001931_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001931.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001932", "scene_id": "RSF-S00001932", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A350", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001932_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001932.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001933", "scene_id": "RSF-S00001933", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001933_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001933.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001936", "scene_id": "RSF-S00001936", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 777", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001936_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001936.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001937", "scene_id": "RSF-S00001937", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001937_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001937.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001939", "scene_id": "RSF-S00001939", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle in the center-left?", "answer": "tractor", "answer_type": "text", "choices": [ "truck tractor", "tractor", "dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001939_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001939.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-left", "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "tractor", "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00020" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001943", "scene_id": "RSF-S00001943", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A350", "answer_type": "text", "choices": [ "A220", "A321", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00001943_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001943.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001945", "scene_id": "RSF-S00001945", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 737", "Boeing 777", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001945_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001945.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001946", "scene_id": "RSF-S00001946", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001946_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001946.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001947", "scene_id": "RSF-S00001947", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001947_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001947.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001948", "scene_id": "RSF-S00001948", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00001948_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001948.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001950", "scene_id": "RSF-S00001950", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001950_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001950.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001951", "scene_id": "RSF-S00001951", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001951_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001951.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001952", "scene_id": "RSF-S00001952", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "dump truck", "cargo truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001952_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001952.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001953", "scene_id": "RSF-S00001953", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001953_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001953.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001959", "scene_id": "RSF-S00001959", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 747", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001959_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001959.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001960", "scene_id": "RSF-S00001960", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001960_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001960.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00037" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001961", "scene_id": "RSF-S00001961", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "A321", "A330", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001961_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001961.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001962", "scene_id": "RSF-S00001962", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001962_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001962.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001964", "scene_id": "RSF-S00001964", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001964_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001964.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001965", "scene_id": "RSF-S00001965", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-left?", "answer": "warship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "warship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001965_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001965.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001966", "scene_id": "RSF-S00001966", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 777", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00001966_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001966.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001967", "scene_id": "RSF-S00001967", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A321", "A330", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00001967_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001967.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001968", "scene_id": "RSF-S00001968", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001968_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001968.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001971", "scene_id": "RSF-S00001971", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001971_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001971.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001972", "scene_id": "RSF-S00001972", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 747", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00001972_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001972.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001974", "scene_id": "RSF-S00001974", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "A321", "A330", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00001974_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001974.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001976", "scene_id": "RSF-S00001976", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "A321", "other airplane", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00001976_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001976.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001979", "scene_id": "RSF-S00001979", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001979_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001979.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001980", "scene_id": "RSF-S00001980", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the bottom-center?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001980_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001980.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00112" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001982", "scene_id": "RSF-S00001982", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "trailer", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00001982_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001982.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001983", "scene_id": "RSF-S00001983", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001983_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001983.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001984", "scene_id": "RSF-S00001984", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "other airplane", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00001984_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001984.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001988", "scene_id": "RSF-S00001988", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001988_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001988.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001989", "scene_id": "RSF-S00001989", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001989_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001989.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001992", "scene_id": "RSF-S00001992", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001992_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001992.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001993", "scene_id": "RSF-S00001993", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001993_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001993.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001994", "scene_id": "RSF-S00001994", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "trailer", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001994_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001994.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001995", "scene_id": "RSF-S00001995", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "fishing boat", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00001995_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001995.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001996", "scene_id": "RSF-S00001996", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "trailer", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00001996_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001996.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00019" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00001997", "scene_id": "RSF-S00001997", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00001997_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00001997.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002000", "scene_id": "RSF-S00002000", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002000_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002000.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002001", "scene_id": "RSF-S00002001", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "A220", "other airplane", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002001_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002001.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002002", "scene_id": "RSF-S00002002", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002002_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002002.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002003", "scene_id": "RSF-S00002003", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft in the bottom-left?", "answer": "C919", "answer_type": "text", "choices": [ "A220", "A321", "A330", "C919" ], "images": { "mode": "single", "t1": "images/RSF-S00002003_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002003.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" 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"engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002008_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002008.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": 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"Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-left?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A220", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002010_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002010.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": 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"truck tractor", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002011_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002011.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00015" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { 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"perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002015", "scene_id": "RSF-S00002015", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A220", "A321", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002015_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002015.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002017", "scene_id": "RSF-S00002017", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002017_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002017.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002018", "scene_id": "RSF-S00002018", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002018_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002018.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002019", "scene_id": "RSF-S00002019", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft in the bottom-center?", "answer": "ARJ21", "answer_type": "text", "choices": [ "A330", "A220", "ARJ21", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002019_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002019.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "arj21", "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00021" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002023", "scene_id": "RSF-S00002023", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002023_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002023.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002025", "scene_id": "RSF-S00002025", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002025_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002025.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002026", "scene_id": "RSF-S00002026", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002026_t1.tif", 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"level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-right?", "answer": "A350", "answer_type": "text", "choices": [ "A220", "A321", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002028_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002028.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-right", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": 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"dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002030_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002030.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002031", "scene_id": "RSF-S00002031", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the top-right?", "answer": "trailer", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "trailer", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002031_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002031.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-right", "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00027" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002034", "scene_id": "RSF-S00002034", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00002034_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002034.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002037", "scene_id": "RSF-S00002037", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002037_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002037.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002038", "scene_id": "RSF-S00002038", "level": "Perception", "subcategory": 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"node_ids": [ "n_obj_00016" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "tractor", "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002042", "scene_id": "RSF-S00002042", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002042_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002042.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002044", "scene_id": "RSF-S00002044", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00002044_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002044.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002046", "scene_id": "RSF-S00002046", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the top-center?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002046_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002046.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-center", "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00049" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002047", "scene_id": "RSF-S00002047", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A220", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002047_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002047.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { 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"images/RSF-S00002052_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002052.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, 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"fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002057_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002057.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": 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"name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00125" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00125" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00125" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002060", "scene_id": "RSF-S00002060", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft in the center?", "answer": "ARJ21", "answer_type": "text", "choices": [ "ARJ21", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002060_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002060.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "arj21", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002061", "scene_id": "RSF-S00002061", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 747", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002061_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002061.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002062", "scene_id": "RSF-S00002062", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002062_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002062.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, 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"node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002066", "scene_id": "RSF-S00002066", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 787", "Boeing 747", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002066_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002066.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002068", "scene_id": "RSF-S00002068", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "passenger ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002068_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002068.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002069", "scene_id": "RSF-S00002069", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ 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"RSF-Q00002076", "scene_id": "RSF-S00002076", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002076_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002076.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002079", "scene_id": "RSF-S00002079", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A220", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002079_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002079.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002085", "scene_id": "RSF-S00002085", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-left?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 737", "Boeing 747", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002085_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002085.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002086", "scene_id": "RSF-S00002086", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A321", "A220", "A350", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002086_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002086.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002087", "scene_id": "RSF-S00002087", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-center?", "answer": "A350", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002087_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002087.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-center", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002092", "scene_id": "RSF-S00002092", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002092_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002092.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002095", "scene_id": "RSF-S00002095", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A220", "other airplane", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002095_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002095.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002096", "scene_id": "RSF-S00002096", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-center?", "answer": "A330", "answer_type": "text", "choices": [ "A330", "A350", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002096_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002096.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002097", "scene_id": "RSF-S00002097", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002097_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002097.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002098", "scene_id": "RSF-S00002098", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "other airplane", "A321", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002098_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002098.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002102", "scene_id": "RSF-S00002102", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "trailer", "truck tractor", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002102_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002102.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002103", "scene_id": "RSF-S00002103", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A220", "A321", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00002103_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002103.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, 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"s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002108", "scene_id": "RSF-S00002108", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002108_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002108.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002109", "scene_id": "RSF-S00002109", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "A330", "A321", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00002109_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002109.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, 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"value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002111", "scene_id": "RSF-S00002111", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-right?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002111_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002111.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002116", "scene_id": "RSF-S00002116", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002116_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002116.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002118", "scene_id": "RSF-S00002118", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle in the center?", "answer": "trailer", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002118_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002118.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center", "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00058" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002119", "scene_id": "RSF-S00002119", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002119_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002119.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002120", "scene_id": "RSF-S00002120", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-left?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 737", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00002120_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002120.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-left", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002121", "scene_id": "RSF-S00002121", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00002121_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002121.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002122", "scene_id": "RSF-S00002122", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002122_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002122.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002123", "scene_id": "RSF-S00002123", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A220", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002123_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002123.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002124", "scene_id": "RSF-S00002124", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 777", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00002124_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002124.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002126", "scene_id": "RSF-S00002126", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002126_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002126.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002128", "scene_id": "RSF-S00002128", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-left?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00002128_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002128.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": 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"edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002130", "scene_id": "RSF-S00002130", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00002130_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002130.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002132", "scene_id": "RSF-S00002132", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002132_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002132.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002133", "scene_id": "RSF-S00002133", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the large vehicle in the top-left?", "answer": "truck tractor", "answer_type": "text", "choices": [ "trailer", "dump truck", "cargo truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002133_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002133.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-left", "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00062" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002136", "scene_id": "RSF-S00002136", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002136_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002136.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002139", "scene_id": "RSF-S00002139", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 777", "Boeing 747", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00002139_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002139.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002140", "scene_id": "RSF-S00002140", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A321", "other airplane", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002140_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002140.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002141", "scene_id": "RSF-S00002141", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the top-left?", "answer": "A330", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002141_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002141.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "top-left", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002145", "scene_id": "RSF-S00002145", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002145_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002145.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002146", "scene_id": "RSF-S00002146", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002146_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002146.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002147", "scene_id": "RSF-S00002147", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A350", "answer_type": "text", "choices": [ "A330", "A220", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002147_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002147.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002148", "scene_id": "RSF-S00002148", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A220", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002148_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002148.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002150", "scene_id": "RSF-S00002150", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft in the center-left?", "answer": "C919", "answer_type": "text", "choices": [ "A330", "C919", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002150_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002150.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-left", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00014" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002152", "scene_id": "RSF-S00002152", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "fishing boat", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002152_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002152.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002154", "scene_id": "RSF-S00002154", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship in the bottom-center?", "answer": "warship", "answer_type": "text", "choices": [ "dry cargo ship", "warship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002154_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002154.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002156", "scene_id": "RSF-S00002156", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002156_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002156.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002157", "scene_id": "RSF-S00002157", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002157_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002157.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00016" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002159", "scene_id": "RSF-S00002159", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002159_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002159.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002160", "scene_id": "RSF-S00002160", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002160_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002160.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00046" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002162", "scene_id": "RSF-S00002162", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002162_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002162.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00013" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002164", "scene_id": "RSF-S00002164", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002164_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002164.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002165", "scene_id": "RSF-S00002165", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-left?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 747", "Boeing 787", "Boeing 737" ], "images": { "mode": "single", "t1": "images/RSF-S00002165_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002165.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002168", "scene_id": "RSF-S00002168", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002168_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002168.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002169", "scene_id": "RSF-S00002169", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002169_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002169.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002170", "scene_id": "RSF-S00002170", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002170_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002170.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002171", "scene_id": "RSF-S00002171", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002171_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002171.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002173", "scene_id": "RSF-S00002173", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002173_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002173.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002174", "scene_id": "RSF-S00002174", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 777", "Boeing 737", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002174_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002174.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002177", "scene_id": "RSF-S00002177", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the center-right?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A330", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002177_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002177.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002178", "scene_id": "RSF-S00002178", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002178_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002178.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002179", "scene_id": "RSF-S00002179", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002179_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002179.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing787", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002180", "scene_id": "RSF-S00002180", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002180_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002180.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002181", "scene_id": "RSF-S00002181", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "fishing boat", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002181_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002181.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002182", "scene_id": "RSF-S00002182", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00002182_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002182.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002188", "scene_id": "RSF-S00002188", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the bottom-right?", "answer": "trailer", "answer_type": "text", "choices": [ "truck tractor", "trailer", "dump truck", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002188_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002188.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00023" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002191", "scene_id": "RSF-S00002191", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "truck tractor", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002191_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002191.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "truck_tractor", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002193", "scene_id": "RSF-S00002193", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002193_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002193.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002199", "scene_id": "RSF-S00002199", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002199_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002199.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002200", "scene_id": "RSF-S00002200", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002200_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002200.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002201", "scene_id": "RSF-S00002201", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the top-center?", "answer": "cargo truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002201_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002201.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "top-center", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002206", "scene_id": "RSF-S00002206", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002206_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002206.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002207", "scene_id": "RSF-S00002207", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002207_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002207.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002210", "scene_id": "RSF-S00002210", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002210_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002210.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00011" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002211", "scene_id": "RSF-S00002211", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "dump truck", "cargo truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002211_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002211.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002215", "scene_id": "RSF-S00002215", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002215_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002215.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002223", "scene_id": "RSF-S00002223", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 777", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002223_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002223.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002224", "scene_id": "RSF-S00002224", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A321", "other airplane", "A330", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002224_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002224.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002225", "scene_id": "RSF-S00002225", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002225_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002225.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002228", "scene_id": "RSF-S00002228", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A220", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002228_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002228.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002229", "scene_id": "RSF-S00002229", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "trailer", "cargo truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002229_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002229.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00010" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002231", "scene_id": "RSF-S00002231", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A350", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002231_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002231.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002232", "scene_id": "RSF-S00002232", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00002232_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002232.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", 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"subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002278", "scene_id": "RSF-S00002278", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A220", "A330", "A350", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002278_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002278.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", 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"subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00022" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00022" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00022" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002280", "scene_id": "RSF-S00002280", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A330", "A350", "A321", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002280_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002280.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, 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"op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002283", "scene_id": "RSF-S00002283", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft in the bottom-right?", "answer": "C919", "answer_type": "text", "choices": [ "A330", "A321", "A220", "C919" ], "images": { "mode": "single", "t1": "images/RSF-S00002283_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002283.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "c919", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], 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"fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "cargo truck", "dump truck", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002286_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002286.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002287", "scene_id": "RSF-S00002287", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002287_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002287.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002288", "scene_id": "RSF-S00002288", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "trailer", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "truck tractor", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002288_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002288.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00003" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002289", "scene_id": "RSF-S00002289", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002289_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002289.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002291", "scene_id": "RSF-S00002291", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", 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"slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002293", "scene_id": "RSF-S00002293", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002293_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002293.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002295", "scene_id": "RSF-S00002295", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A220", "A330", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002295_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002295.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002296", "scene_id": "RSF-S00002296", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A350", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002296_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002296.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002300", "scene_id": "RSF-S00002300", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "ARJ21", "answer_type": "text", "choices": [ "A330", "A220", "ARJ21", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002300_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002300.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "arj21", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002301", "scene_id": "RSF-S00002301", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002301_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002301.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002304", "scene_id": "RSF-S00002304", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "fishing boat" ], "images": { "mode": "single", "t1": "images/RSF-S00002304_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002304.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00002" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002306", "scene_id": "RSF-S00002306", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "trailer", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002306_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002306.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002307", "scene_id": "RSF-S00002307", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft in the center-right?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002307_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002307.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "center-right", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00004" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002309", "scene_id": "RSF-S00002309", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "fishing boat", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002309_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002309.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002313", "scene_id": "RSF-S00002313", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle in the center-right?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "trailer", "truck tractor", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002313_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002313.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-right", "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00064" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002317", "scene_id": "RSF-S00002317", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A330", "answer_type": "text", "choices": [ "A220", "A321", "A330", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002317_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002317.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a330", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002318", "scene_id": "RSF-S00002318", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "cargo truck", "trailer", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002318_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002318.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00007" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002322", "scene_id": "RSF-S00002322", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002322_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002322.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002323", "scene_id": "RSF-S00002323", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002323_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002323.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002324", "scene_id": "RSF-S00002324", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft in the bottom-right?", "answer": "Boeing 777", "answer_type": "text", "choices": [ "Boeing 787", "Boeing 747", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002324_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002324.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing777", "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00009" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002325", "scene_id": "RSF-S00002325", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002325_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002325.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002326", "scene_id": "RSF-S00002326", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002326_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002326.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002327", "scene_id": "RSF-S00002327", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A350", "A321", "A220", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002327_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002327.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002330", "scene_id": "RSF-S00002330", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A321", "other airplane", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002330_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002330.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002331", "scene_id": "RSF-S00002331", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "fishing boat", "engineering ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002331_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002331.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002333", "scene_id": "RSF-S00002333", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "cargo truck", "answer_type": "text", "choices": [ "cargo truck", "truck tractor", "dump truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002333_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002333.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "cargo_truck", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002334", "scene_id": "RSF-S00002334", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002334_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002334.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002337", "scene_id": "RSF-S00002337", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A321", "A220", "other airplane" ], "images": { "mode": "single", "t1": "images/RSF-S00002337_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002337.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002340", "scene_id": "RSF-S00002340", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "fishing boat", "other ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002340_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002340.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00006" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002341", "scene_id": "RSF-S00002341", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002341_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002341.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002343", "scene_id": "RSF-S00002343", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "cargo truck", "dump truck", "trailer", "truck tractor" ], "images": { "mode": "single", "t1": "images/RSF-S00002343_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002343.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002345", "scene_id": "RSF-S00002345", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A321", "A330", "A220", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002345_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002345.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002348", "scene_id": "RSF-S00002348", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "other airplane", "A330", "A321" ], "images": { "mode": "single", 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"Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002366", "scene_id": "RSF-S00002366", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A220", "other airplane", "A321", "A330" ], "images": { "mode": "single", "t1": "images/RSF-S00002366_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002366.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", 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"ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002368", "scene_id": "RSF-S00002368", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002368_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002368.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002369", "scene_id": "RSF-S00002369", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002369_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002369.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002370", "scene_id": "RSF-S00002370", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "warship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002370_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002370.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002373", "scene_id": "RSF-S00002373", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "trailer", "truck tractor", "cargo truck", "dump truck" ], "images": { "mode": "single", "t1": "images/RSF-S00002373_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002373.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00008" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002376", "scene_id": "RSF-S00002376", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "other airplane", "answer_type": "text", "choices": [ "A330", "A321", "other airplane", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002376_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002376.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "other_airplane", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002377", "scene_id": "RSF-S00002377", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft in the bottom-center?", "answer": "A350", "answer_type": "text", "choices": [ "A350", "A330", "A220", "A321" ], "images": { "mode": "single", "t1": "images/RSF-S00002377_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002377.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "aircraft", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a350", "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00005" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002378", "scene_id": "RSF-S00002378", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 747", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 737", "Boeing 787", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002378_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002378.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing747", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002379", "scene_id": "RSF-S00002379", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "passenger ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002379_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002379.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002381", "scene_id": "RSF-S00002381", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002381_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002381.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002385", "scene_id": "RSF-S00002385", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle?", "answer": "dump truck", "answer_type": "text", "choices": [ "truck tractor", "dump truck", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002385_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002385.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00033" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "dump_truck", "refs": { "node_ids": [ "n_obj_00033" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00033" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00033" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002393", "scene_id": "RSF-S00002393", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002393_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002393.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002397", "scene_id": "RSF-S00002397", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 777", "Boeing 737", "Boeing 747", "Boeing 787" ], "images": { "mode": "single", "t1": "images/RSF-S00002397_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002397.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002398", "scene_id": "RSF-S00002398", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "Boeing 787", "answer_type": "text", "choices": [ "Boeing 737", "Boeing 777", "Boeing 787", "Boeing 747" ], "images": { "mode": "single", "t1": "images/RSF-S00002398_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002398.json", 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"RSF-Q00002403", "scene_id": "RSF-S00002403", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the aircraft?", "answer": "A321", "answer_type": "text", "choices": [ "A330", "A220", "A321", "A350" ], "images": { "mode": "single", "t1": "images/RSF-S00002403_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002403.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a321", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002405", "scene_id": "RSF-S00002405", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002405_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002405.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002406", "scene_id": "RSF-S00002406", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002406_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002406.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00048" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002409", "scene_id": "RSF-S00002409", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002409_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002409.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002410", "scene_id": "RSF-S00002410", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the aircraft?", "answer": "Boeing 737", "answer_type": "text", "choices": [ "Boeing 747", "Boeing 787", "Boeing 737", "Boeing 777" ], "images": { "mode": "single", "t1": "images/RSF-S00002410_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002410.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "boeing737", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002411", "scene_id": "RSF-S00002411", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the large vehicle in the center-right?", "answer": "trailer", "answer_type": "text", "choices": [ "dump truck", "truck tractor", "cargo truck", "trailer" ], "images": { "mode": "single", "t1": "images/RSF-S00002411_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002411.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "large_vehicle", "value": true, "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "large_vehicle", "value": "center-right", "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "large_vehicle", "name": "subtype", "value": "trailer", "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "large_vehicle", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00150" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002413", "scene_id": "RSF-S00002413", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the aircraft?", "answer": "A220", "answer_type": "text", "choices": [ "A330", "A321", "A350", "A220" ], "images": { "mode": "single", "t1": "images/RSF-S00002413_t1.tif", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002413.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "aircraft", "value": true, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "aircraft", "name": "subtype", "value": "a220", "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "aircraft", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_00001" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002416", "scene_id": "RSF-S00002416", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "other ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002416_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002416.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002417", "scene_id": "RSF-S00002417", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002417_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002417.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002418", "scene_id": "RSF-S00002418", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002418_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002418.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002421", "scene_id": "RSF-S00002421", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002421_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002421.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_9" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002423", "scene_id": "RSF-S00002423", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-right?", "answer": "warship", "answer_type": "text", "choices": [ "warship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002423_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002423.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", 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"answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002627_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002627.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, 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"images/RSF-S00002628_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002628.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002629", "scene_id": "RSF-S00002629", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002629_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002629.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002631", "scene_id": "RSF-S00002631", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002631_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002631.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002634", "scene_id": "RSF-S00002634", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship in the top-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002634_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002634.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002636", "scene_id": "RSF-S00002636", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other 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"scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_13" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_13" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002639", "scene_id": "RSF-S00002639", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002639_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002639.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002642", "scene_id": "RSF-S00002642", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002642_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002642.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, 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"refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": 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"Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002670", "scene_id": "RSF-S00002670", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the top-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002670_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002670.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], 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"name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002712", "scene_id": "RSF-S00002712", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002712_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002712.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002715", "scene_id": "RSF-S00002715", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002715_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002715.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": 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true, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { 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"ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002733", "scene_id": "RSF-S00002733", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002733_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002733.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", 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"question_id": "RSF-Q00002750", "scene_id": "RSF-S00002750", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002750_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002750.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { 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"claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002778", "scene_id": "RSF-S00002778", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "other ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002778_t1.png", "t2": null }, "scene_graph": 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"question_id": "RSF-Q00002780", "scene_id": "RSF-S00002780", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "dry cargo ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002780_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002780.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002785", "scene_id": "RSF-S00002785", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo 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"answer" } } }, { "question_id": "RSF-Q00002788", "scene_id": "RSF-S00002788", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002788_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002788.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", 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"answer" } } }, { "question_id": "RSF-Q00002798", "scene_id": "RSF-S00002798", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-left?", "answer": "warship", "answer_type": "text", "choices": [ "warship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002798_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002798.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", 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ship in the top-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002800_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002800.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" 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"images/RSF-S00002804_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002804.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002809", "scene_id": "RSF-S00002809", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002809_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002809.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002810", "scene_id": "RSF-S00002810", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-left?", "answer": "other ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002810_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002810.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": 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"op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002816", "scene_id": "RSF-S00002816", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-right?", "answer": "warship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00002816_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002816.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002819", "scene_id": "RSF-S00002819", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002819_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002819.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002820", "scene_id": "RSF-S00002820", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "warship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "engineering ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00002820_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002820.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002823", "scene_id": "RSF-S00002823", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002823_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002823.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002824", "scene_id": "RSF-S00002824", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "other ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002824_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002824.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002825", "scene_id": "RSF-S00002825", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-center?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002825_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002825.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002827", "scene_id": "RSF-S00002827", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002827_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002827.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002828", "scene_id": "RSF-S00002828", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002828_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002828.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", 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"answer" } } }, { "question_id": "RSF-Q00002853", "scene_id": "RSF-S00002853", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "liquid cargo ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00002853_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00002853.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true 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[] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": 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"ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00002864", "scene_id": "RSF-S00002864", "level": "Perception", "subcategory": 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"Which subtype best matches the ship in the top-left?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003214_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003214.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": 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"single", "t1": "images/RSF-S00003215_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003215.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, 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} } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003225", "scene_id": "RSF-S00003225", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "warship", "answer_type": "text", "choices": [ "warship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003225_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003225.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003231", "scene_id": "RSF-S00003231", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003231_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003231.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": 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"ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003246", "scene_id": "RSF-S00003246", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "passenger ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003246_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003246.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_10" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, 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} } }, { "question_id": "RSF-Q00003267", "scene_id": "RSF-S00003267", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship in the top-center?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003267_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003267.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } } ], "program": { "program_id": 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"time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003278", "scene_id": "RSF-S00003278", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003278_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003278.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": 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"edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003289", "scene_id": "RSF-S00003289", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003289_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003289.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ 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ship in the bottom-right?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "liquid cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003298_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003298.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ 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"question_id": "RSF-Q00003327", "scene_id": "RSF-S00003327", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-left?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003327_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003327.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-left", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003330", "scene_id": "RSF-S00003330", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry 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} } }, { "question_id": "RSF-Q00003337", "scene_id": "RSF-S00003337", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-right?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003337_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003337.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", 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"question_id": "RSF-Q00003366", "scene_id": "RSF-S00003366", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003366_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003366.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ 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"var": "answer" } } }, { "question_id": "RSF-Q00003386", "scene_id": "RSF-S00003386", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "warship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003386_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003386.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { 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"value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003396", "scene_id": "RSF-S00003396", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "other ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003396_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003396.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_7" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003406", "scene_id": "RSF-S00003406", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003406_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003406.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": 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"n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003409", "scene_id": "RSF-S00003409", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the bottom-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003409_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003409.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, 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"subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003423", "scene_id": "RSF-S00003423", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003423_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003423.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003426", "scene_id": "RSF-S00003426", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-left?", "answer": "passenger ship", "answer_type": "text", 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"claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003434", "scene_id": "RSF-S00003434", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "engineering ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003434_t1.png", "t2": null }, "scene_graph": 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true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003436", "scene_id": "RSF-S00003436", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-right?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003436_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003436.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { 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"RSF-S00003525", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "other ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003525_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003525.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": 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"t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003559", "scene_id": "RSF-S00003559", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship in the center-right?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "warship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003559_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003559.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003564", "scene_id": "RSF-S00003564", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-center?", "answer": "engineering ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003564_t1.png", "t2": null }, 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}, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_3" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003568", "scene_id": "RSF-S00003568", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003568_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003568.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003569", "scene_id": "RSF-S00003569", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003569_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003569.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003573", "scene_id": "RSF-S00003573", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": 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"refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003574", "scene_id": "RSF-S00003574", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "other ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003574_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003574.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003581", "scene_id": "RSF-S00003581", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "liquid cargo ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003581_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003581.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003587", "scene_id": "RSF-S00003587", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-right?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003587_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003587.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003592", "scene_id": "RSF-S00003592", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "other ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003592_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003592.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003595", "scene_id": "RSF-S00003595", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "engineering ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003595_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003595.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003598", "scene_id": "RSF-S00003598", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003598_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003598.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, 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"answer" } } }, { "question_id": "RSF-Q00003609", "scene_id": "RSF-S00003609", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the top-left?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003609_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003609.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", 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top-left?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003612_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003612.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], 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"t1": "images/RSF-S00003619_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003619.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, 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"refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_5" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", 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"edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003625", "scene_id": "RSF-S00003625", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], 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"op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003635", "scene_id": "RSF-S00003635", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003635_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003635.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003637", "scene_id": "RSF-S00003637", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-left?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003637_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003637.json", "support": [ { 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"subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003711", "scene_id": "RSF-S00003711", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003711_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003711.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003713", "scene_id": "RSF-S00003713", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the top-center?", "answer": "warship", "answer_type": "text", "choices": [ "warship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003713_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003713.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003717", "scene_id": "RSF-S00003717", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "liquid cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003717_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003717.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003720", "scene_id": "RSF-S00003720", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "other ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003720_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003720.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003730", "scene_id": "RSF-S00003730", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "passenger ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003730_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003730.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003734", "scene_id": "RSF-S00003734", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "liquid cargo ship", "passenger ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003734_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003734.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003735", "scene_id": "RSF-S00003735", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003735_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003735.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003740", "scene_id": "RSF-S00003740", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-left?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003740_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003740.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003742", "scene_id": "RSF-S00003742", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship in the top-right?", "answer": "warship", "answer_type": "text", "choices": [ "dry cargo ship", "warship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003742_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003742.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-right", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_6" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003744", "scene_id": "RSF-S00003744", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003744_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003744.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003745", "scene_id": "RSF-S00003745", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "other ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003745_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003745.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003748", "scene_id": "RSF-S00003748", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the bottom-right?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "dry cargo ship", "warship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003748_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003748.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-right", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003749", "scene_id": "RSF-S00003749", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "other ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003749_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003749.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { 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"Which of the given types describes the ship in the center?", "answer": "engineering ship", "answer_type": "text", "choices": [ "other ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003763_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003763.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, 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"RSF-S00003921", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-right?", "answer": "passenger ship", "answer_type": "text", "choices": [ "passenger ship", "liquid cargo ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003921_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003921.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-right", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-right" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00003923", "scene_id": "RSF-S00003923", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "engineering ship", "dry cargo ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003923_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003923.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" 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"RSF-Q00003933", "scene_id": "RSF-S00003933", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center-left?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "dry cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00003933_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00003933.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_4" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": 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"fine_grained_recognition", "question": "Which category among the options fits the ship in the bottom-center?", "answer": "passenger ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "passenger ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004149_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004149.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "bottom-center", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, 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"RSF-S00004154", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship in the top-left?", "answer": "engineering ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "engineering ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004154_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004154.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-left", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "engineering_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": 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"program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "bottom-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_2" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004293", "scene_id": "RSF-S00004293", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "other ship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "dry cargo ship", "other ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004293_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004293.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "other_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004297", "scene_id": "RSF-S00004297", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship in the center-left?", "answer": "warship", "answer_type": "text", "choices": [ "liquid cargo ship", "engineering ship", "dry cargo ship", "warship" ], "images": { "mode": "single", "t1": "images/RSF-S00004297_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004297.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center-left", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "center-left" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004302", "scene_id": "RSF-S00004302", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "warship", "answer_type": "text", "choices": [ "engineering ship", "liquid cargo ship", "warship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004302_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004302.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "warship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004303", "scene_id": "RSF-S00004303", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004303_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004303.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004304", "scene_id": "RSF-S00004304", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship in the top-center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "liquid cargo ship", "other ship", "engineering ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004304_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004304.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "top-center", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Location", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": "top-center" }, "outputs": {}, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004305", "scene_id": "RSF-S00004305", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which of the given types describes the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "other ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004305_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004305.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004308", "scene_id": "RSF-S00004308", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "liquid cargo ship", "other ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004308_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004308.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004309", "scene_id": "RSF-S00004309", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "dry cargo ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004309_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004309.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004311", "scene_id": "RSF-S00004311", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Among the following categories, which one applies to the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004311_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004311.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004319", "scene_id": "RSF-S00004319", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship?", "answer": "passenger ship", "answer_type": "text", "choices": [ "dry cargo ship", "passenger ship", "liquid cargo ship", "engineering ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004319_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004319.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "passenger_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004320", "scene_id": "RSF-S00004320", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which label from the options correctly identifies the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004320_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004320.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "dry_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": "Existence", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "value": true }, "outputs": {}, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true }, { "slot_id": "s_002", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004326", "scene_id": "RSF-S00004326", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which subtype best matches the ship in the center?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "other ship", "engineering ship", "liquid cargo ship", "dry cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004326_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004326.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_1" ], "edge_ids": [] } }, { "claim_type": "Location", "time": "t1", "subject": "ship", "value": "center", "refs": { 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], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004565", "scene_id": "RSF-S00004565", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which fine-grained label best describes the ship?", "answer": "liquid cargo ship", "answer_type": "text", "choices": [ "dry cargo ship", "engineering ship", "other ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004565_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004565.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", "time": "t1", "subject": "ship", "name": "subtype", "value": "liquid_cargo_ship", "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } } ], "program": { "program_id": "perception.object_attribute", "slots": [ { "slot_id": "s_001", "claim_type": 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true }, { "slot_id": "s_003", "claim_type": "Attribute", "scope": { "time": "t1" }, "constraints": { "subject": "ship", "name": "subtype" }, "outputs": { "answer": "value" }, "refs": { "node_ids": [ "n_obj_18" ], "edge_ids": [] }, "sr_required": true } ], "answer_fn": { "op": "slot_value", "claim_type": "Attribute", "field": "value", "var": "answer" } } }, { "question_id": "RSF-Q00004570", "scene_id": "RSF-S00004570", "level": "Perception", "subcategory": "fine_grained_recognition", "question": "Which category among the options fits the ship?", "answer": "dry cargo ship", "answer_type": "text", "choices": [ "engineering ship", "other ship", "dry cargo ship", "liquid cargo ship" ], "images": { "mode": "single", "t1": "images/RSF-S00004570_t1.png", "t2": null }, "scene_graph": "scene_graphs/RSF-S00004570.json", "support": [ { "claim_type": "Existence", "time": "t1", "subject": "ship", "value": true, "refs": { "node_ids": [ "n_obj_0" ], "edge_ids": [] } }, { "claim_type": "Attribute", 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