question_id string | scene_id string | level string | subcategory string | question string | answer string | answer_type string | choices list | image_t1 string | image_t2 string | scene_graph string | record_json string | support_json string | program_json string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RSF-Q00004931 | RSF-S00004877 | Relational reasoning | projective_ordering | Choose the left-to-right order of the listed aircraft. | the A220, the A321, the Boeing 747 | text | [
"the Boeing 747, the A321, the A220",
"the A321, the A220, the Boeing 747",
"the A220, the A321, the Boeing 747",
"the A321, the Boeing 747, the A220"
] | Relational reasoning/projective_ordering/images/RSF-S00004877_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004877.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"a220","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"a220","name":"center","value":[173.5,22.5],"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"a321","v... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"a220","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"const... |
RSF-Q00009545 | RSF-S00008759 | Temporal reasoning | category_turnover | Which category is present only in the earlier image? | building | text | [
"non vegetated surface",
"tree",
"low vegetation",
"building"
] | Temporal reasoning/category_turnover/images/RSF-S00008759_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008759_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008759.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"building","value":true,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"building","name":"aggregate_area","value":7952,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subj... | {"program_id":"temporal.category_disappearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"building"},"outputs":{"exists:building:t1":"value"},"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","s... |
RSF-Q00009496 | RSF-S00008738 | Temporal reasoning | semantic_transition | Which later category is the main destination of the earlier low vegetation area? | building | text | [
"non vegetated surface",
"building",
"playground",
"tree"
] | Temporal reasoning/semantic_transition/images/RSF-S00008738_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008738_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008738.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":2524,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Existe... | {"program_id":"temporal.semantic_transition_target","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation","value":true},"outputs":{},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","s... |
RSF-Q00009542 | RSF-S00008758 | Temporal reasoning | net_change | Which category shows the largest increase in area between the two images? | playground | text | [
"low vegetation",
"building",
"playground",
"non vegetated surface"
] | Temporal reasoning/net_change/images/RSF-S00008758_t1.png | Temporal reasoning/net_change/images/RSF-S00008758_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008758.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":9156,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Existe... | {"program_id":"temporal.max_area_increase","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation"},"outputs":{"exists:low_vegetation:t1":"value"},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"A... |
RSF-Q00000048 | RSF-S00000048 | Perception | object_presence | Does the image contain any windmill? | Yes | text | [
"Yes",
"No",
"Can't judge"
] | Perception/object_presence/images/RSF-S00000048_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000048.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"windmill","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"windmill"},"outputs":{"answer":"value"},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existence","field":"... |
RSF-Q00000058 | RSF-S00000058 | Perception | object_counting | Count the aircraft shown in the image. | 11 | text | [
"12",
"10",
"13",
"11"
] | Perception/object_counting/images/RSF-S00000058_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000058.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"aircraft","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_00009","n_obj_00010","n_obj_00011"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"aircraft... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"aircraft","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_000... |
RSF-Q00000052 | RSF-S00000052 | Perception | object_localization | What part of the image contains the vehicle? | top-center | text | [
"top-left",
"top-center",
"top-right",
"center-left"
] | Perception/object_localization/images/RSF-S00000052_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000052.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00007"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"vehicle","value":"top-center","refs":{"node_ids":["n_obj_00007"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00007"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"cons... |
RSF-Q00001351 | RSF-S00001351 | Perception | fine_grained_recognition | Which fine-grained label best describes the ship in the center-left? | passenger ship | text | [
"engineering ship",
"passenger ship",
"dry cargo ship",
"liquid cargo ship"
] | Perception/fine_grained_recognition/images/RSF-S00001351_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001351.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"claim_type":"Existence","time":"t1","subject":"ship","value":true,"refs":{"node_ids":["n_obj_00010"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"ship","value":"center-left","refs":{"node_ids":["n_obj_00010"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"ship","name":"subtype","... | {"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_00010"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"constr... |
RSF-Q00004607 | RSF-S00004605 | Relational reasoning | aggregate_distribution | Choose the statement that best summarizes how the containers are arranged. | arranged in a narrow vertical band | text | [
"split between two separated parts of the image",
"arranged in a narrow vertical band",
"spread across several separated parts of the image",
"mostly concentrated near the center"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004605_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004605.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"container::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"container::top-center","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"container::top-right","value":0,"re... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"container::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},"co... |
RSF-Q00004632 | RSF-S00004627 | Relational reasoning | directional | What listed object is below the vehicle? | the baseball field in the center-right | text | [
"the baseball field in the top-center",
"the baseball field in the center-left",
"the baseball field in the bottom-center",
"the baseball field in the center-right"
] | Relational reasoning/directional/images/RSF-S00004627_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004627.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"baseball_field","value":true,"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"baseball_field","val... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1... |
RSF-Q00004769 | RSF-S00004749 | Relational reasoning | proximity | Which listed object is the most distant from the swimming pool? | the ship in the top-right | text | [
"the harbor in the center",
"the harbor in the bottom-center",
"the small vehicle in the bottom-center",
"the ship in the top-right"
] | Relational reasoning/proximity/images/RSF-S00004749_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004749.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"swimming_pool","value":true,"refs":{"node_ids":["n_obj_00008"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"swimming_pool","name":"center","value":[446.0,809.5],"refs":{"node_ids":["n_obj_00008"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1",... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"swimming_pool","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00008"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00005567 | RSF-S00005394 | Relational reasoning | topological | What listed object overlaps the terminal? | the road in the center-left | text | [
"the road in the center-left",
"the road in the top-right",
"the road in the bottom-center",
"the road in the bottom-right"
] | Relational reasoning/topological/images/RSF-S00005394_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005394.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"terminal","value":true,"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"road","value":true,"refs":{"node_ids":["n_obj_4"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"road","value":"center-left","refs":{"... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"terminal","value":true},"outputs":{},"refs":{"node_ids":["n_obj_2"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1"},... |
RSF-Q00004942 | RSF-S00004887 | Relational reasoning | projective_ordering | Which sequence matches the listed aircraft when ordered left to right? | the A220, the A321, the Boeing 787 | text | [
"the A321, the A220, the Boeing 787",
"the A321, the Boeing 787, the A220",
"the A220, the A321, the Boeing 787",
"the A220, the Boeing 787, the A321"
] | Relational reasoning/projective_ordering/images/RSF-S00004887_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004887.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"a220","value":true,"refs":{"node_ids":["n_obj_00003"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"a220","name":"center","value":[772.5,467.0],"refs":{"node_ids":["n_obj_00003"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"a321","... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"a220","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00003"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"const... |
RSF-Q00009546 | RSF-S00008760 | Temporal reasoning | category_turnover | Which category is absent from the later image? | low vegetation | text | [
"tree",
"building",
"low vegetation",
"non vegetated surface"
] | Temporal reasoning/category_turnover/images/RSF-S00008760_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008760_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008760.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":116489,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Exis... | {"program_id":"temporal.category_disappearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation"},"outputs":{"exists:low_vegetation:t1":"value"},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_typ... |
RSF-Q00009498 | RSF-S00008739 | Temporal reasoning | semantic_transition | Which earlier category mainly changes into low vegetation in the later image? | building | text | [
"building",
"tree",
"non vegetated surface",
"water"
] | Temporal reasoning/semantic_transition/images/RSF-S00008739_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008739_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008739.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"building","value":true,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"building","name":"aggregate_area","value":27536,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","sub... | {"program_id":"temporal.semantic_transition_source","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"building","value":true},"outputs":{},"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"tim... |
RSF-Q00009550 | RSF-S00008762 | Temporal reasoning | net_change | Which category shows the largest decrease in area between the two images? | tree | text | [
"playground",
"tree",
"low vegetation",
"building"
] | Temporal reasoning/net_change/images/RSF-S00008762_t1.png | Temporal reasoning/net_change/images/RSF-S00008762_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008762.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"playground","value":true,"refs":{"node_ids":["n_t1_playgrounds"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"playground","name":"aggregate_area","value":737,"refs":{"node_ids":["n_t1_playgrounds"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"playground"},"outputs":{"exists:playground:t1":"value"},"refs":{"node_ids":["n_t1_playgrounds"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","... |
RSF-Q00000054 | RSF-S00000054 | Perception | object_presence | Does the image contain any stadium? | No | text | [
"Yes",
"Can't judge",
"No"
] | Perception/object_presence/images/RSF-S00000054_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000054.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"stadium","value":false,"refs":{"node_ids":[],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"stadium"},"outputs":{"answer":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existence","field":"value","var":"... |
RSF-Q00000068 | RSF-S00000068 | Perception | object_counting | Count the harbors shown in the image. | 6 | text | [
"6",
"8",
"5",
"7"
] | Perception/object_counting/images/RSF-S00000068_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000068.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"harbor","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00008"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"harbor","value":6,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003",... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"harbor","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00008"],"edge_ids":[]},"sr_required":true},{"sl... |
RSF-Q00000053 | RSF-S00000053 | Perception | object_localization | Which region of the image contains the bridge? | top-right | text | [
"top-center",
"center-right",
"top-right",
"center"
] | Perception/object_localization/images/RSF-S00000053_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000053.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"bridge","value":"top-right","refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"const... |
RSF-Q00001358 | RSF-S00001358 | Perception | fine_grained_recognition | Which fine-grained label best describes the aircraft? | other airplane | text | [
"A220",
"other airplane",
"A321",
"A330"
] | Perception/fine_grained_recognition/images/RSF-S00001358_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001358.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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_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"},"c... |
RSF-Q00004610 | RSF-S00004607 | Relational reasoning | aggregate_distribution | Which description best matches the overall location of the tractors? | mostly near the central area of the image | text | [
"mostly near the central area of the image",
"mostly in the lower part of the image",
"mostly along the left side of the image",
"mostly along the right side of the image"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004607_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004607.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"tractor::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"tractor::top-center","value":3,"refs":{"node_ids":["n_obj_48","n_obj_51","n_obj_52"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"tractor... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"tractor::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},"cons... |
RSF-Q00004635 | RSF-S00004630 | Relational reasoning | directional | Which listed object is located below the overpass? | the vehicle in the bottom-right | text | [
"the vehicle in the center",
"the vehicle in the top-center",
"the vehicle in the bottom-right",
"the vehicle in the center-right"
] | Relational reasoning/directional/images/RSF-S00004630_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004630.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"overpass","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"vehicle","value":"bottom-r... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"overpass","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t... |
RSF-Q00004783 | RSF-S00004758 | Relational reasoning | proximity | Among these choices, which one is closest to the swimming pool? | the tennis court in the top-right | text | [
"the harbor in the bottom-left",
"the ship in the top-right",
"the harbor in the bottom-right",
"the tennis court in the top-right"
] | Relational reasoning/proximity/images/RSF-S00004758_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004758.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"swimming_pool","value":true,"refs":{"node_ids":["n_obj_00034"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"swimming_pool","name":"center","value":[806.0,511.5],"refs":{"node_ids":["n_obj_00034"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1",... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"swimming_pool","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00034"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00005569 | RSF-S00005396 | Relational reasoning | topological | Which listed object contains the parking lot within its outline? | the block in the bottom-right | text | [
"the block in the bottom-right",
"the block in the bottom-left",
"the block in the center",
"the block in the top-center"
] | Relational reasoning/topological/images/RSF-S00005396_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005396.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"parking_lot","value":true,"refs":{"node_ids":["n_obj_10"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"block","value":true,"refs":{"node_ids":["n_obj_12"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"block","value":"bottom-right","... | {"program_id":"relational.object_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"parking_lot","value":true},"outputs":{},"refs":{"node_ids":["n_obj_10"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1... |
RSF-Q00004948 | RSF-S00004893 | Relational reasoning | projective_ordering | Which option correctly orders the listed aircraft from left to right? | the ARJ21, the A350, the A330 | text | [
"the A330, the A350, the ARJ21",
"the ARJ21, the A330, the A350",
"the A350, the ARJ21, the A330",
"the ARJ21, the A350, the A330"
] | Relational reasoning/projective_ordering/images/RSF-S00004893_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004893.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"arj21","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"arj21","name":"center","value":[51.0,631.0],"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"a350",... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"arj21","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"cons... |
RSF-Q00009556 | RSF-S00008764 | Temporal reasoning | category_turnover | What category appears in the later image but not in the earlier image? | playground | text | [
"building",
"playground",
"non vegetated surface",
"low vegetation"
] | Temporal reasoning/category_turnover/images/RSF-S00008764_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008764_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008764.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"playground","value":false,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"playground","value":true,"refs":{"node_ids":["n_t2_playgrounds"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t2","subject":"playground","name":"aggrega... | {"program_id":"temporal.category_appearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"playground"},"outputs":{"exists:playground:t1":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"... |
RSF-Q00009499 | RSF-S00008739 | Temporal reasoning | semantic_transition | Which later category receives most of the changed area from earlier building? | low vegetation | text | [
"tree",
"low vegetation",
"non vegetated surface",
"water"
] | Temporal reasoning/semantic_transition/images/RSF-S00008739_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008739_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008739.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"building","value":true,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"building","name":"aggregate_area","value":27536,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","sub... | {"program_id":"temporal.semantic_transition_target","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"building","value":true},"outputs":{},"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"tim... |
RSF-Q00009553 | RSF-S00008763 | Temporal reasoning | net_change | Across the two images, which category loses the most area? | tree | text | [
"tree",
"low vegetation",
"building",
"water"
] | Temporal reasoning/net_change/images/RSF-S00008763_t1.png | Temporal reasoning/net_change/images/RSF-S00008763_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008763.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"tree","value":true,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tree","name":"aggregate_area","value":24482,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"tree","va... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tree"},"outputs":{"exists:tree:t1":"value"},"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1... |
RSF-Q00000056 | RSF-S00000056 | Perception | object_presence | Does the image contain any aircraft? | Yes | text | [
"Can't judge",
"Yes",
"No"
] | Perception/object_presence/images/RSF-S00000056_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000056.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"aircraft","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003"],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"aircraft"},"outputs":{"answer":"value"},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003"],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim... |
RSF-Q00000069 | RSF-S00000069 | Perception | object_counting | Count the ships shown in the image. | 7 | text | [
"6",
"7",
"8",
"9"
] | Perception/object_counting/images/RSF-S00000069_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000069.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"ship","value":true,"refs":{"node_ids":["n_obj_00003","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_00009","n_obj_00010"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"ship","value":7,"refs":{"node_ids":["n_obj_00003","n_obj_00005","n_o... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"ship","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00003","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_00009","n_obj_00010"],"edge_ids":[]},"sr_required... |
RSF-Q00000055 | RSF-S00000055 | Perception | object_localization | Is the overpass located in the center region? | Yes | text | [
"No",
"Can't judge",
"Yes"
] | Perception/object_localization/images/RSF-S00000055_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000055.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"overpass","value":true,"refs":{"node_ids":["n_obj_00003"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"overpass","value":"center","refs":{"node_ids":["n_obj_00003"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"overpass","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00003"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"con... |
RSF-Q00001360 | RSF-S00001360 | Perception | fine_grained_recognition | Which of the given types describes the aircraft? | Boeing 737 | text | [
"Boeing 787",
"Boeing 747",
"Boeing 737",
"Boeing 777"
] | Perception/fine_grained_recognition/images/RSF-S00001360_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001360.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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_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"},"c... |
RSF-Q00004611 | RSF-S00011431 | Relational reasoning | aggregate_distribution | Where are the ground track fields mainly located? | mostly near the central area of the image | text | [
"mostly along the right side of the image",
"mostly near the central area of the image",
"mostly along the left side of the image",
"mostly in the upper part of the image"
] | Relational reasoning/aggregate_distribution/images/RSF-S00011431_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00011431.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"ground_track_field::top-left","value":1,"refs":{"node_ids":["n_obj_00132"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"ground_track_field::top-center","value":5,"refs":{"node_ids":["n_obj_00031","n_obj_00112","n_obj_00114","n_obj_00126","n_obj_00128"]... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"ground_track_field::top-left","quantity":1},"outputs":{},"refs":{"node_ids":["n_obj_00132"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","sc... |
RSF-Q00004636 | RSF-S00000299 | Relational reasoning | directional | How is the overpass related to the vehicle? | above | text | [
"below",
"above",
"right of",
"left of"
] | Relational reasoning/directional/images/RSF-S00000299_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00000299.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"overpass","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Relation","time":"t1","subject":"overpass","predicate":"abo... | {"program_id":"relational.pair_relation","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"overpass","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1"},"cons... |
RSF-Q00004784 | RSF-S00004759 | Relational reasoning | proximity | Among these choices, which one is farthest from the swimming pool? | the harbor in the top-right | text | [
"the ship in the top-center",
"the harbor in the top-right",
"the ship in the center-left",
"the ship in the bottom-left"
] | Relational reasoning/proximity/images/RSF-S00004759_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004759.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"swimming_pool","value":true,"refs":{"node_ids":["n_obj_00027"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"swimming_pool","name":"center","value":[313.5,1227.0],"refs":{"node_ids":["n_obj_00027"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1"... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"swimming_pool","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00027"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00005575 | RSF-S00005402 | Relational reasoning | topological | Which listed object overlaps the intersection? | the road in the bottom-left | text | [
"the road in the bottom-center",
"the road in the center-left",
"the road in the bottom-left",
"the road in the top-center"
] | Relational reasoning/topological/images/RSF-S00005402_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005402.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"intersection","value":true,"refs":{"node_ids":["n_obj_1"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"road","value":true,"refs":{"node_ids":["n_obj_10"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"road","value":"bottom-left","ref... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"intersection","value":true},"outputs":{},"refs":{"node_ids":["n_obj_1"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t... |
RSF-Q00004952 | RSF-S00004897 | Relational reasoning | projective_ordering | What is the correct left-to-right order for the listed aircraft? | the Boeing 787, the A220, the A350 | text | [
"the Boeing 787, the A220, the A350",
"the A350, the A220, the Boeing 787",
"the A220, the A350, the Boeing 787",
"the Boeing 787, the A350, the A220"
] | Relational reasoning/projective_ordering/images/RSF-S00004897_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004897.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"boeing787","value":true,"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"boeing787","name":"center","value":[58.0,262.0],"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject"... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"boeing787","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"... |
RSF-Q00009559 | RSF-S00008765 | Temporal reasoning | category_turnover | Which category is no longer present in the later image? | non vegetated surface | text | [
"low vegetation",
"non vegetated surface",
"tree",
"building"
] | Temporal reasoning/category_turnover/images/RSF-S00008765_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008765_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008765.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":9809,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type"... | {"program_id":"temporal.category_disappearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface"},"outputs":{"exists:non_vegetated_surface:t1":"value"},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002"... |
RSF-Q00009500 | RSF-S00008740 | Temporal reasoning | semantic_transition | Which earlier category contributes the most changed area to later building? | non vegetated surface | text | [
"tree",
"non vegetated surface",
"low vegetation",
"playground"
] | Temporal reasoning/semantic_transition/images/RSF-S00008740_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008740_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008740.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":29794,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type... | {"program_id":"temporal.semantic_transition_source","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface","value":true},"outputs":{},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute... |
RSF-Q00009561 | RSF-S00008766 | Temporal reasoning | net_change | Which category has the largest area loss across the two images? | building | text | [
"low vegetation",
"building",
"water",
"tree"
] | Temporal reasoning/net_change/images/RSF-S00008766_t1.png | Temporal reasoning/net_change/images/RSF-S00008766_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008766.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":1400,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Existe... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation"},"outputs":{"exists:low_vegetation:t1":"value"},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"A... |
RSF-Q00000060 | RSF-S00000060 | Perception | object_presence | Does the image contain any bridge? | No | text | [
"Can't judge",
"Yes",
"No"
] | Perception/object_presence/images/RSF-S00000060_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000060.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":false,"refs":{"node_ids":[],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge"},"outputs":{"answer":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existence","field":"value","var":"a... |
RSF-Q00000071 | RSF-S00000071 | Perception | object_counting | Count the harbors shown in the image. | 6 | text | [
"6",
"8",
"7",
"5"
] | Perception/object_counting/images/RSF-S00000071_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000071.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"harbor","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"harbor","value":6,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003",... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"harbor","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006"],"edge_ids":[]},"sr_required":true},{"sl... |
RSF-Q00000059 | RSF-S00000059 | Perception | object_localization | Is the ship located in the top-right region? | No | text | [
"No",
"Can't judge",
"Yes"
] | Perception/object_localization/images/RSF-S00000059_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000059.json | Perception/object_localization/object_localization.json | [{"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":[]}}] | {"program_id":"perception.object_location","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"},"constra... |
RSF-Q00001363 | RSF-S00001363 | Perception | fine_grained_recognition | Which fine-grained label best describes the ship? | dry cargo ship | text | [
"passenger ship",
"liquid cargo ship",
"engineering ship",
"dry cargo ship"
] | Perception/fine_grained_recognition/images/RSF-S00001363_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001363.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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_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"},"const... |
RSF-Q00004612 | RSF-S00004608 | Relational reasoning | aggregate_distribution | Which option most accurately describes the spatial pattern of the helicopters? | split between two separated parts of the image | text | [
"spread across several separated parts of the image",
"mostly around the outer parts of the image",
"arranged in a narrow vertical band",
"split between two separated parts of the image"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004608_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004608.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"helicopter::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"helicopter::top-center","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"helicopter::top-right","value":0,... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"helicopter::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},"c... |
RSF-Q00004637 | RSF-S00004631 | Relational reasoning | directional | Which listed object is located below the overpass? | the vehicle in the bottom-center | text | [
"the vehicle in the top-center",
"the vehicle in the top-left",
"the vehicle in the center-right",
"the vehicle in the bottom-center"
] | Relational reasoning/directional/images/RSF-S00004631_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004631.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"overpass","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"vehicle","value":"bottom-c... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"overpass","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t... |
RSF-Q00004786 | RSF-S00000930 | Relational reasoning | proximity | Looking around the swimming pool, which listed object is nearest? | the ship in the top-right | text | [
"the ship in the top-right",
"the ship in the top-left",
"the small vehicle in the top-left",
"the ship in the bottom-right"
] | Relational reasoning/proximity/images/RSF-S00000930_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00000930.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"swimming_pool","value":true,"refs":{"node_ids":["n_obj_00035"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"swimming_pool","name":"center","value":[2909.5,193.5],"refs":{"node_ids":["n_obj_00035"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1"... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"swimming_pool","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00035"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00005576 | RSF-S00005403 | Relational reasoning | topological | Which listed object has the exhaust fan inside its footprint? | the block in the bottom-right | text | [
"the block in the top-right",
"the block in the bottom-left",
"the block in the top-left",
"the block in the bottom-right"
] | Relational reasoning/topological/images/RSF-S00005403_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005403.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"exhaust_fan","value":true,"refs":{"node_ids":["n_obj_34"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"block","value":true,"refs":{"node_ids":["n_obj_32"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"block","value":"bottom-right","... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"exhaust_fan","value":true},"outputs":{},"refs":{"node_ids":["n_obj_34"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t... |
RSF-Q00004955 | RSF-S00011459 | Relational reasoning | projective_ordering | What is the correct left-to-right order for the listed ships? | the motorboat, the fishing boat, the warship | text | [
"the fishing boat, the warship, the motorboat",
"the motorboat, the warship, the fishing boat",
"the motorboat, the fishing boat, the warship",
"the warship, the fishing boat, the motorboat"
] | Relational reasoning/projective_ordering/images/RSF-S00011459_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00011459.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"motorboat","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"motorboat","name":"center","value":[101.0,115.5],"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"motorboat","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"... |
RSF-Q00009560 | RSF-S00008766 | Temporal reasoning | category_turnover | What new category is present in the later image? | water | text | [
"low vegetation",
"non vegetated surface",
"building",
"water"
] | Temporal reasoning/category_turnover/images/RSF-S00008766_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008766_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008766.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"water","value":false,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"water","value":true,"refs":{"node_ids":["n_t2_water"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t2","subject":"water","name":"aggregate_area","value":2695... | {"program_id":"temporal.category_appearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"water"},"outputs":{"exists:water:t1":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t2"},"cons... |
RSF-Q00009501 | RSF-S00008740 | Temporal reasoning | semantic_transition | Which category does the earlier building area primarily convert into in the later image? | low vegetation | text | [
"tree",
"low vegetation",
"non vegetated surface",
"playground"
] | Temporal reasoning/semantic_transition/images/RSF-S00008740_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008740_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008740.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"building","value":true,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"building","name":"aggregate_area","value":14095,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","sub... | {"program_id":"temporal.semantic_transition_target","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"building","value":true},"outputs":{},"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"tim... |
RSF-Q00009564 | RSF-S00008767 | Temporal reasoning | net_change | Across the two images, which category gains the most area? | building | text | [
"non vegetated surface",
"low vegetation",
"tree",
"building"
] | Temporal reasoning/net_change/images/RSF-S00008767_t1.png | Temporal reasoning/net_change/images/RSF-S00008767_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008767.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":39769,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type... | {"program_id":"temporal.max_area_increase","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface"},"outputs":{"exists:non_vegetated_surface:t1":"value"},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","cla... |
RSF-Q00000062 | RSF-S00000062 | Perception | object_presence | Does the image contain any vehicle? | Yes | text | [
"Yes",
"No",
"Can't judge"
] | Perception/object_presence/images/RSF-S00000062_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000062.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002"],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle"},"outputs":{"answer":"value"},"refs":{"node_ids":["n_obj_00001","n_obj_00002"],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existen... |
RSF-Q00000073 | RSF-S00000073 | Perception | object_counting | Count the bridges shown in the image. | 6 | text | [
"5",
"8",
"6",
"7"
] | Perception/object_counting/images/RSF-S00000073_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000073.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":true,"refs":{"node_ids":["n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"bridge","value":6,"refs":{"node_ids":["n_obj_00002","n_obj_00003","n_obj_00004",... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007"],"edge_ids":[]},"sr_required":true},{"sl... |
RSF-Q00000061 | RSF-S00000061 | Perception | object_localization | Is the bridge located in the center-left region? | Yes | text | [
"Yes",
"Can't judge",
"No"
] | Perception/object_localization/images/RSF-S00000061_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000061.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"bridge","value":"center-left","refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"const... |
RSF-Q00001375 | RSF-S00001375 | Perception | fine_grained_recognition | Which subtype best matches the aircraft in the bottom-left? | A330 | text | [
"A321",
"A330",
"A350",
"A220"
] | Perception/fine_grained_recognition/images/RSF-S00001375_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001375.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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"... | {"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"},"co... |
RSF-Q00004613 | RSF-S00004609 | Relational reasoning | aggregate_distribution | Choose the area that best matches the main cluster of Boeing 737 aircraft. | mainly in the lower central part of the image | text | [
"mainly in the upper central part of the image",
"mainly in the lower central part of the image",
"mainly in the upper-right part of the image",
"mainly in the lower-left part of the image"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004609_t1.tif | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004609.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"boeing737::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"boeing737::top-center","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"boeing737::top-right","value":0,"re... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"boeing737::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},"co... |
RSF-Q00004638 | RSF-S00004632 | Relational reasoning | directional | What listed object is to the right of the vehicle? | the aircraft in the top-center | text | [
"the aircraft in the center-right",
"the aircraft in the bottom-center",
"the aircraft in the center-left",
"the aircraft in the top-center"
] | Relational reasoning/directional/images/RSF-S00004632_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004632.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00009"],"edge_ids":[]}},{"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-cen... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00009"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1... |
RSF-Q00004788 | RSF-S00004762 | Relational reasoning | proximity | Relative to the small vehicle, which option is farthest away? | the ship in the center | text | [
"the ship in the center-right",
"the ship in the top-center",
"the ship in the center",
"the harbor in the bottom-center"
] | Relational reasoning/proximity/images/RSF-S00004762_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004762.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"small_vehicle","value":true,"refs":{"node_ids":["n_obj_00025"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"small_vehicle","name":"center","value":[3438.5,58.5],"refs":{"node_ids":["n_obj_00025"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1",... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"small_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"},"constr... |
RSF-Q00005598 | RSF-S00005423 | Relational reasoning | topological | Which listed object encloses the parking lot in the image? | the block in the top-right | text | [
"the block in the top-left",
"the block in the top-right",
"the block in the center",
"the block in the bottom-center"
] | Relational reasoning/topological/images/RSF-S00005423_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005423.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"parking_lot","value":true,"refs":{"node_ids":["n_obj_67"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"block","value":true,"refs":{"node_ids":["n_obj_74"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"block","value":"top-right","ref... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"parking_lot","value":true},"outputs":{},"refs":{"node_ids":["n_obj_67"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t... |
RSF-Q00004969 | RSF-S00004908 | Relational reasoning | projective_ordering | Choose the left-to-right order of the listed ships. | the tugboat, the warship, the dry cargo ship | text | [
"the warship, the dry cargo ship, the tugboat",
"the dry cargo ship, the tugboat, the warship",
"the tugboat, the warship, the dry cargo ship",
"the dry cargo ship, the warship, the tugboat"
] | Relational reasoning/projective_ordering/images/RSF-S00004908_t1.png | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004908.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"tugboat","value":true,"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tugboat","name":"center","value":[245.5,422.5],"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"warship",... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tugboat","value":true},"outputs":{},"refs":{"node_ids":["n_obj_2"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00009563 | RSF-S00008767 | Temporal reasoning | category_turnover | Which category is present only in the earlier image? | non vegetated surface | text | [
"tree",
"non vegetated surface",
"building",
"low vegetation"
] | Temporal reasoning/category_turnover/images/RSF-S00008767_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008767_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008767.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":39769,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type... | {"program_id":"temporal.category_disappearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface"},"outputs":{"exists:non_vegetated_surface:t1":"value"},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002"... |
RSF-Q00009503 | RSF-S00008741 | Temporal reasoning | semantic_transition | Which earlier category mainly changes into building in the later image? | low vegetation | text | [
"tree",
"low vegetation",
"water",
"non vegetated surface"
] | Temporal reasoning/semantic_transition/images/RSF-S00008741_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008741_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008741.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":104173,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Exis... | {"program_id":"temporal.semantic_transition_source","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation","value":true},"outputs":{},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","s... |
RSF-Q00009566 | RSF-S00008768 | Temporal reasoning | net_change | Which category undergoes the greatest increase in area between the two images? | playground | text | [
"tree",
"playground",
"non vegetated surface",
"building"
] | Temporal reasoning/net_change/images/RSF-S00008768_t1.png | Temporal reasoning/net_change/images/RSF-S00008768_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008768.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"tree","value":true,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tree","name":"aggregate_area","value":1265,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"tree","val... | {"program_id":"temporal.max_area_increase","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tree"},"outputs":{"exists:tree:t1":"value"},"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1... |
RSF-Q00000064 | RSF-S00000064 | Perception | object_presence | Does the image contain any warehouse? | No | text | [
"Can't judge",
"Yes",
"No"
] | Perception/object_presence/images/RSF-S00000064_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000064.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"warehouse","value":false,"refs":{"node_ids":[],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"warehouse"},"outputs":{"answer":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existence","field":"value","var"... |
RSF-Q00000075 | RSF-S00000075 | Perception | object_counting | Count the aircraft shown in the image. | 4 | text | [
"4",
"6",
"5",
"3"
] | Perception/object_counting/images/RSF-S00000075_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000075.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"aircraft","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"aircraft","value":4,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004"],"edge_ids... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"aircraft","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type... |
RSF-Q00000063 | RSF-S00000063 | Perception | object_localization | What part of the image contains the vehicle? | bottom-left | text | [
"center",
"bottom-center",
"bottom-left",
"center-left"
] | Perception/object_localization/images/RSF-S00000063_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000063.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00008"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"vehicle","value":"bottom-left","refs":{"node_ids":["n_obj_00008"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"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"},"cons... |
RSF-Q00001378 | RSF-S00001378 | Perception | fine_grained_recognition | Which category among the options fits the large vehicle? | cargo truck | text | [
"trailer",
"truck tractor",
"cargo truck",
"dump truck"
] | Perception/fine_grained_recognition/images/RSF-S00001378_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001378.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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_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... |
RSF-Q00004615 | RSF-S00004611 | Relational reasoning | aggregate_distribution | Choose the statement that best summarizes how the small vehicles are arranged. | split between two separated parts of the image | text | [
"clustered in one small part of the image",
"split between two separated parts of the image",
"spread across several separated parts of the image",
"mostly concentrated near the center"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004611_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004611.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"small_vehicle::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"small_vehicle::top-center","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"small_vehicle::top-right","... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"small_vehicle::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"}... |
RSF-Q00004642 | RSF-S00004636 | Relational reasoning | directional | Which listed object is located to the left of the ground track field? | the tennis court in the bottom-left | text | [
"the tennis court in the center-right",
"the tennis court in the bottom-center",
"the tennis court in the center",
"the tennis court in the bottom-left"
] | Relational reasoning/directional/images/RSF-S00004636_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004636.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"ground_track_field","value":true,"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"tennis_court","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"tennis_cour... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"ground_track_field","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":... |
RSF-Q00004789 | RSF-S00004763 | Relational reasoning | proximity | Which option is farthest from the roundabout? | the small vehicle in the top-right | text | [
"the swimming pool in the center",
"the swimming pool in the bottom-center",
"the small vehicle in the top-right",
"the swimming pool in the center-right"
] | Relational reasoning/proximity/images/RSF-S00004763_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004763.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"roundabout","value":true,"refs":{"node_ids":["n_obj_00026"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"roundabout","name":"center","value":[1397.5,3015.5],"refs":{"node_ids":["n_obj_00026"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","sub... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"roundabout","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00026"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constrain... |
RSF-Q00005599 | RSF-S00005424 | Relational reasoning | topological | Which listed object contains the pool within its outline? | the block in the center | text | [
"the block in the center",
"the block in the center-right",
"the block in the top-center",
"the block in the top-right"
] | Relational reasoning/topological/images/RSF-S00005424_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005424.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"pool","value":true,"refs":{"node_ids":["n_obj_46"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"block","value":true,"refs":{"node_ids":["n_obj_42"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"block","value":"center","refs":{"node_... | {"program_id":"relational.object_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"pool","value":true},"outputs":{},"refs":{"node_ids":["n_obj_46"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1"},"con... |
RSF-Q00004980 | RSF-S00004918 | Relational reasoning | projective_ordering | Which sequence matches the listed ships when ordered left to right? | the tugboat, the warship, the dry cargo ship | text | [
"the tugboat, the warship, the dry cargo ship",
"the dry cargo ship, the warship, the tugboat",
"the tugboat, the dry cargo ship, the warship",
"the warship, the tugboat, the dry cargo ship"
] | Relational reasoning/projective_ordering/images/RSF-S00004918_t1.png | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004918.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"tugboat","value":true,"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tugboat","name":"center","value":[445.5,822.5],"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"warship",... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tugboat","value":true},"outputs":{},"refs":{"node_ids":["n_obj_2"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00009565 | RSF-S00008768 | Temporal reasoning | category_turnover | Which category is present only in the later image? | playground | text | [
"low vegetation",
"non vegetated surface",
"building",
"playground"
] | Temporal reasoning/category_turnover/images/RSF-S00008768_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008768_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008768.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"playground","value":false,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"playground","value":true,"refs":{"node_ids":["n_t2_playgrounds"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t2","subject":"playground","name":"aggrega... | {"program_id":"temporal.category_appearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"playground"},"outputs":{"exists:playground:t1":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"... |
RSF-Q00009505 | RSF-S00008742 | Temporal reasoning | semantic_transition | Which earlier category contributes the most changed area to later non vegetated surface? | building | text | [
"tree",
"building",
"low vegetation",
"water"
] | Temporal reasoning/semantic_transition/images/RSF-S00008742_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008742_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008742.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"building","value":true,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"building","name":"aggregate_area","value":26721,"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","sub... | {"program_id":"temporal.semantic_transition_source","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"building","value":true},"outputs":{},"refs":{"node_ids":["n_t1_buildings"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"tim... |
RSF-Q00009575 | RSF-S00008773 | Temporal reasoning | net_change | Across the two images, which category loses the most area? | tree | text | [
"non vegetated surface",
"tree",
"building",
"water"
] | Temporal reasoning/net_change/images/RSF-S00008773_t1.png | Temporal reasoning/net_change/images/RSF-S00008773_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008773.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":986,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface"},"outputs":{"exists:non_vegetated_surface:t1":"value"},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","cla... |
RSF-Q00000067 | RSF-S00000067 | Perception | object_presence | Does the image contain any stadium? | Yes | text | [
"No",
"Can't judge",
"Yes"
] | Perception/object_presence/images/RSF-S00000067_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000067.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"stadium","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"stadium"},"outputs":{"answer":"value"},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existence","field":"v... |
RSF-Q00000076 | RSF-S00000076 | Perception | object_counting | Count the vehicles shown in the image. | 12 | text | [
"13",
"14",
"11",
"12"
] | Perception/object_counting/images/RSF-S00000076_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000076.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_00009","n_obj_00010","n_obj_00011","n_obj_00012"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subje... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_0000... |
RSF-Q00000065 | RSF-S00000065 | Perception | object_localization | Is the bridge located in the top-right region? | No | text | [
"Yes",
"Can't judge",
"No"
] | Perception/object_localization/images/RSF-S00000065_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000065.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"bridge","value":"center","refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Location","scope":{"time":"t1"},"const... |
RSF-Q00001380 | RSF-S00001380 | Perception | fine_grained_recognition | Which subtype best matches the large vehicle in the bottom-left? | trailer | text | [
"dump truck",
"cargo truck",
"truck tractor",
"trailer"
] | Perception/fine_grained_recognition/images/RSF-S00001380_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001380.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"claim_type":"Existence","time":"t1","subject":"large_vehicle","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"large_vehicle","value":"bottom-left","refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"large_... | {"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":"Location","scope":{"time":"t1"... |
RSF-Q00004616 | RSF-S00004612 | Relational reasoning | aggregate_distribution | Which description best matches the overall distribution of the fishing boats? | arranged in a narrow vertical band | text | [
"mostly around the outer parts of the image",
"arranged in a narrow vertical band",
"split between two separated parts of the image",
"arranged in a narrow horizontal band"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004612_t1.tif | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004612.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"fishing_boat::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"fishing_boat::top-center","value":12,"refs":{"node_ids":["n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008","n_obj_00009","n_obj_00010","n_obj_000... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"fishing_boat::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},... |
RSF-Q00004647 | RSF-S00004641 | Relational reasoning | directional | Which listed object is located to the left of the vehicle? | the aircraft in the top-left | text | [
"the aircraft in the bottom-center",
"the aircraft in the top-left",
"the aircraft in the center",
"the aircraft in the center-right"
] | Relational reasoning/directional/images/RSF-S00004641_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00004641.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]}},{"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-lef... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00004"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1... |
RSF-Q00004796 | RSF-S00004769 | Relational reasoning | proximity | Which object sits nearest to the ground track field? | the bridge in the top-center | text | [
"the ship in the bottom-center",
"the ship in the bottom-right",
"the bridge in the top-center",
"the harbor in the bottom-left"
] | Relational reasoning/proximity/images/RSF-S00004769_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00004769.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"ground_track_field","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"ground_track_field","name":"center","value":[1421.5,1072.5],"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Existence",... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"ground_track_field","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"c... |
RSF-Q00005604 | RSF-S00005427 | Relational reasoning | topological | What listed object borders the greenbelt? | the parking lot in the top-right | text | [
"the parking lot in the bottom-left",
"the parking lot in the top-right",
"the parking lot in the center-left",
"the parking lot in the bottom-right"
] | Relational reasoning/topological/images/RSF-S00005427_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005427.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"greenbelt","value":true,"refs":{"node_ids":["n_obj_30"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"parking_lot","value":true,"refs":{"node_ids":["n_obj_24"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"parking_lot","value":"top-r... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"greenbelt","value":true},"outputs":{},"refs":{"node_ids":["n_obj_30"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1"... |
RSF-Q00004988 | RSF-S00004926 | Relational reasoning | projective_ordering | Which option correctly orders the listed ships from left to right? | the warship, the tugboat, the fishing boat | text | [
"the warship, the tugboat, the fishing boat",
"the tugboat, the warship, the fishing boat",
"the fishing boat, the warship, the tugboat",
"the tugboat, the fishing boat, the warship"
] | Relational reasoning/projective_ordering/images/RSF-S00004926_t1.tif | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004926.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"warship","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"warship","name":"center","value":[63.5,317.8585],"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"warship","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"co... |
RSF-Q00009569 | RSF-S00008769 | Temporal reasoning | category_turnover | Which category is present only in the later image? | low vegetation | text | [
"tree",
"building",
"low vegetation",
"non vegetated surface"
] | Temporal reasoning/category_turnover/images/RSF-S00008769_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008769_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008769.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":false,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t2_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t2","subject":"low_vegetation",... | {"program_id":"temporal.category_appearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation"},"outputs":{"exists:low_vegetation:t1":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{... |
RSF-Q00009507 | RSF-S00008743 | Temporal reasoning | semantic_transition | Across the image pair, the earlier low vegetation area mainly transitions into what? | building | text | [
"water",
"tree",
"non vegetated surface",
"building"
] | Temporal reasoning/semantic_transition/images/RSF-S00008743_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008743_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008743.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"low_vegetation","value":true,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"low_vegetation","name":"aggregate_area","value":2777,"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]}},{"claim_type":"Existe... | {"program_id":"temporal.semantic_transition_target","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"low_vegetation","value":true},"outputs":{},"refs":{"node_ids":["n_t1_low_vegetation"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","s... |
RSF-Q00009582 | RSF-S00008775 | Temporal reasoning | net_change | Across the two images, which category loses the most area? | non vegetated surface | text | [
"water",
"non vegetated surface",
"building",
"tree"
] | Temporal reasoning/net_change/images/RSF-S00008775_t1.png | Temporal reasoning/net_change/images/RSF-S00008775_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008775.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"water","value":true,"refs":{"node_ids":["n_t1_water"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"water","name":"aggregate_area","value":2561,"refs":{"node_ids":["n_t1_water"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"water","... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"water"},"outputs":{"exists:water:t1":"value"},"refs":{"node_ids":["n_t1_water"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"... |
RSF-Q00000070 | RSF-S00000070 | Perception | object_presence | Does the image contain any bridge? | Yes | text | [
"Yes",
"No",
"Can't judge"
] | Perception/object_presence/images/RSF-S00000070_t1.jpg | null | Perception/object_presence/scene_graphs/RSF-S00000070.json | Perception/object_presence/object_presence.json | [{"claim_type":"Existence","time":"t1","subject":"bridge","value":true,"refs":{"node_ids":["n_obj_00002","n_obj_00003"],"edge_ids":[]}}] | {"program_id":"perception.object_presence","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"bridge"},"outputs":{"answer":"value"},"refs":{"node_ids":["n_obj_00002","n_obj_00003"],"edge_ids":[]},"sr_required":true}],"answer_fn":{"op":"bool_label","claim_type":"Existenc... |
RSF-Q00000081 | RSF-S00000081 | Perception | object_counting | Count the vehicles shown in the image. | 8 | text | [
"8",
"10",
"7",
"9"
] | Perception/object_counting/images/RSF-S00000081_t1.jpg | null | Perception/object_counting/scene_graphs/RSF-S00000081.json | Perception/object_counting/object_counting.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008"],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"vehicle","value":8,"refs":{"node_ids":["n_obj_00001... | {"program_id":"perception.object_count","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001","n_obj_00002","n_obj_00003","n_obj_00004","n_obj_00005","n_obj_00006","n_obj_00007","n_obj_00008"],"edge_ids"... |
RSF-Q00000066 | RSF-S00000066 | Perception | object_localization | Is the vehicle located in the bottom-center region? | No | text | [
"Can't judge",
"No",
"Yes"
] | Perception/object_localization/images/RSF-S00000066_t1.jpg | null | Perception/object_localization/scene_graphs/RSF-S00000066.json | Perception/object_localization/object_localization.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00005"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"vehicle","value":"center-right","refs":{"node_ids":["n_obj_00005"],"edge_ids":[]}}] | {"program_id":"perception.object_location","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"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"},"cons... |
RSF-Q00001382 | RSF-S00001382 | Perception | fine_grained_recognition | Which fine-grained label best describes the aircraft? | other airplane | text | [
"A220",
"A330",
"other airplane",
"A321"
] | Perception/fine_grained_recognition/images/RSF-S00001382_t1.tif | null | Perception/fine_grained_recognition/scene_graphs/RSF-S00001382.json | Perception/fine_grained_recognition/fine_grained_recognition.json | [{"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_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"},"c... |
RSF-Q00004623 | RSF-S00004618 | Relational reasoning | aggregate_distribution | Choose the statement that best summarizes how the solar panels are arranged. | spread across several separated parts of the image | text | [
"split between two separated parts of the image",
"mostly concentrated near the center",
"spread across several separated parts of the image",
"clustered in one small part of the image"
] | Relational reasoning/aggregate_distribution/images/RSF-S00004618_t1.png | null | Relational reasoning/aggregate_distribution/scene_graphs/RSF-S00004618.json | Relational reasoning/aggregate_distribution/aggregate_distribution.json | [{"claim_type":"Counting","time":"t1","subject":"solar_panel::top-left","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"solar_panel::top-center","value":0,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Counting","time":"t1","subject":"solar_panel::top-right","value"... | {"program_id":"spatial.aggregate_distribution","slots":[{"slot_id":"s_001","claim_type":"Counting","scope":{"time":"t1"},"constraints":{"subject":"solar_panel::top-left","quantity":0},"outputs":{},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Counting","scope":{"time":"t1"},"... |
RSF-Q00004651 | RSF-S00000372 | Relational reasoning | directional | Which listed object is to the right of the vehicle? | the aircraft in the bottom-right | text | [
"the aircraft in the center-right",
"the aircraft in the center-left",
"the aircraft in the top-left",
"the aircraft in the bottom-right"
] | Relational reasoning/directional/images/RSF-S00000372_t1.jpg | null | Relational reasoning/directional/scene_graphs/RSF-S00000372.json | Relational reasoning/directional/directional.json | [{"claim_type":"Existence","time":"t1","subject":"vehicle","value":true,"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]}},{"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-... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"vehicle","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00001"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1... |
RSF-Q00004805 | RSF-S00000997 | Relational reasoning | proximity | Which option is farthest from the roundabout? | the ground track field in the top-right | text | [
"the ground track field in the top-right",
"the baseball field in the bottom-left",
"the baseball field in the center",
"the ground track field in the top-center"
] | Relational reasoning/proximity/images/RSF-S00000997_t1.png | null | Relational reasoning/proximity/scene_graphs/RSF-S00000997.json | Relational reasoning/proximity/proximity.json | [{"claim_type":"Existence","time":"t1","subject":"roundabout","value":true,"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"roundabout","name":"center","value":[525.0,2622.0],"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subj... | {"program_id":"spatial.proximity","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"roundabout","value":true},"outputs":{},"refs":{"node_ids":["n_obj_00002"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constrain... |
RSF-Q00005605 | RSF-S00005428 | Relational reasoning | topological | Which listed object encloses the motorboat in the image? | the block in the center-right | text | [
"the block in the bottom-center",
"the block in the center-left",
"the block in the center-right",
"the block in the top-left"
] | Relational reasoning/topological/images/RSF-S00005428_t1.png | null | Relational reasoning/topological/scene_graphs/RSF-S00005428.json | Relational reasoning/topological/topological.json | [{"claim_type":"Existence","time":"t1","subject":"motorboat","value":true,"refs":{"node_ids":["n_obj_9"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"block","value":true,"refs":{"node_ids":["n_obj_44"],"edge_ids":[]}},{"claim_type":"Location","time":"t1","subject":"block","value":"center-right","ref... | {"program_id":"relational.subject_identification","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"motorboat","value":true},"outputs":{},"refs":{"node_ids":["n_obj_9"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t1"}... |
RSF-Q00005009 | RSF-S00004944 | Relational reasoning | projective_ordering | What is the correct left-to-right order for the listed ships? | the tugboat, the passenger ship, the warship | text | [
"the passenger ship, the warship, the tugboat",
"the tugboat, the warship, the passenger ship",
"the warship, the tugboat, the passenger ship",
"the tugboat, the passenger ship, the warship"
] | Relational reasoning/projective_ordering/images/RSF-S00004944_t1.png | null | Relational reasoning/projective_ordering/scene_graphs/RSF-S00004944.json | Relational reasoning/projective_ordering/projective_ordering.json | [{"claim_type":"Existence","time":"t1","subject":"tugboat","value":true,"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tugboat","name":"center","value":[45.5,622.5],"refs":{"node_ids":["n_obj_2"],"edge_ids":[]}},{"claim_type":"Existence","time":"t1","subject":"passenger_... | {"program_id":"spatial.projective_ordering","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tugboat","value":true},"outputs":{},"refs":{"node_ids":["n_obj_2"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1"},"constr... |
RSF-Q00009570 | RSF-S00008770 | Temporal reasoning | category_turnover | What new category is present in the later image? | tree | text | [
"tree",
"non vegetated surface",
"low vegetation",
"building"
] | Temporal reasoning/category_turnover/images/RSF-S00008770_t1.png | Temporal reasoning/category_turnover/images/RSF-S00008770_t2.png | Temporal reasoning/category_turnover/scene_graphs/RSF-S00008770.json | Temporal reasoning/category_turnover/category_turnover.json | [{"claim_type":"Existence","time":"t1","subject":"tree","value":false,"refs":{"node_ids":[],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"tree","value":true,"refs":{"node_ids":["n_t2_trees"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t2","subject":"tree","name":"aggregate_area","value":2987,"r... | {"program_id":"temporal.category_appearance","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tree"},"outputs":{"exists:tree:t1":"value"},"refs":{"node_ids":[],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Existence","scope":{"time":"t2"},"constr... |
RSF-Q00009508 | RSF-S00008744 | Temporal reasoning | semantic_transition | Which earlier category mainly changes into building in the later image? | non vegetated surface | text | [
"water",
"non vegetated surface",
"tree",
"low vegetation"
] | Temporal reasoning/semantic_transition/images/RSF-S00008744_t1.png | Temporal reasoning/semantic_transition/images/RSF-S00008744_t2.png | Temporal reasoning/semantic_transition/scene_graphs/RSF-S00008744.json | Temporal reasoning/semantic_transition/semantic_transition.json | [{"claim_type":"Existence","time":"t1","subject":"non_vegetated_surface","value":true,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"non_vegetated_surface","name":"aggregate_area","value":13646,"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]}},{"claim_type... | {"program_id":"temporal.semantic_transition_source","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"non_vegetated_surface","value":true},"outputs":{},"refs":{"node_ids":["n_t1_NVG_surface"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute... |
RSF-Q00009585 | RSF-S00008776 | Temporal reasoning | net_change | Which category has the largest area loss across the two images? | tree | text | [
"tree",
"building",
"low vegetation",
"water"
] | Temporal reasoning/net_change/images/RSF-S00008776_t1.png | Temporal reasoning/net_change/images/RSF-S00008776_t2.png | Temporal reasoning/net_change/scene_graphs/RSF-S00008776.json | Temporal reasoning/net_change/net_change.json | [{"claim_type":"Existence","time":"t1","subject":"tree","value":true,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Attribute","time":"t1","subject":"tree","name":"aggregate_area","value":12731,"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]}},{"claim_type":"Existence","time":"t2","subject":"tree","va... | {"program_id":"temporal.max_area_decrease","slots":[{"slot_id":"s_001","claim_type":"Existence","scope":{"time":"t1"},"constraints":{"subject":"tree"},"outputs":{"exists:tree:t1":"value"},"refs":{"node_ids":["n_t1_trees"],"edge_ids":[]},"sr_required":true},{"slot_id":"s_002","claim_type":"Attribute","scope":{"time":"t1... |
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