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train-scene0537-39
scene0537_00
[ "114", "116", "118", "121", "123", "125", "128", "130", "132", "135", "137", "139", "142", "144", "146", "149", "153", "156", "158", "160", "163", "165", "167", "170", "172", "174", "177", "179", "181", "183", "186", "188", "190", "193", "195", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is behind the couch?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user"...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0537_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "style": "rule" }
{ "answer": [ 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "index": 0, "question": "What is behind the couch?", "split": "train", "video_repo_path": "vide...
train-scene0640-61
scene0640_00
[ "0", "6", "12", "17", "23", "29", "35", "41", "58", "64", "70", "76", "81", "87", "93", "99", "105", "110", "116", "122", "128", "134", "140", "145", "151", "157", "1087", "1093", "1099", "1105", "1110", "1116", "1122", "1128", "1134", "1139", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is to the left of the wall with the windows?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depicti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0640_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 2, 3, 24, 25, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 2, 3, 24, 25, 62, 63 ], "index": 1, "question": "What is to the left of the wall with the windows?", "split": "train", "video_repo_path": "videos/scene0640_00.mp4" }
train-scene0295-5
scene0295_00
[ "230", "232", "234", "236", "238", "241", "243", "245", "247", "250", "252", "254", "256", "259", "261", "263", "265", "267", "270", "272", "274", "276", "279", "281", "283", "285", "287", "290", "292", "294", "296", "299", "301", "303", "305", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: To the left of what is the bed on the wall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0295_00.mp4" } ]
vqa
{ "ground_truth": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "style": "rule" }
{ "answer": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57 ], "index": 2, "question": "To the left of what is the bed on the wall?", "split": "train", "video_repo...
train-scene0570-26
scene0570_00
[ "0", "1", "2", "3", "4", "6", "7", "8", "9", "10", "11", "12", "13", "15", "16", "17", "18", "19", "20", "21", "22", "24", "25", "26", "27", "28", "29", "30", "31", "33", "34", "35", "36", "37", "38", "39", "40", "42", "43", "44", "45",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is in the middle of the counter below the mirror?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time de...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0570_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ], "index": 3, "question": "What is in the middle of the counter below the mirror?", "split": "train", "video_repo_path": "videos/scene0570_00.mp4" }
train-scene0489-54
scene0489_00
[ "185", "188", "192", "195", "198", "201", "204", "207", "210", "213", "216", "219", "222", "225", "228", "231", "234", "237", "240", "243", "246", "268", "271", "274", "277", "280", "283", "286", "289", "292", "295", "298", "301", "304", "307", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of tower is near the window on the desk?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depict...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0489_00.mp4" } ]
vqa
{ "ground_truth": [ 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 33, 34 ], "style": "rule" }
{ "answer": [ 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 30, 31, 32, 33, 34 ], "index": 4, "question": "What type of tower is near the window on the desk?", "split": "train", "video_repo_path": "videos/sce...
train-scene0400-1
scene0400_00
[ "0", "3", "5", "8", "10", "13", "15", "18", "20", "23", "25", "28", "30", "33", "35", "38", "40", "43", "45", "48", "51", "53", "56", "58", "91", "93", "96", "98", "101", "104", "106", "109", "111", "114", "116", "119", "121", "124", "126",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the wooden desk on the corner of the room?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0400_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 56, 57, 58, 59, 60, 61, 62 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 56, 57, 58, 59, 60, 61, 62 ], "index": 5, "question": "What color is the wooden desk on the corner of the room?", "split": "train", "video_repo_path": "videos/scene0400_00.mp4" }
train-scene0592-87
scene0592_00
[ "83", "87", "91", "95", "99", "103", "107", "111", "115", "119", "123", "126", "130", "134", "138", "142", "146", "150", "154", "158", "162", "166", "170", "174", "178", "182", "186", "190", "194", "198", "202", "205", "209", "213", "217", "221",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many white l-shaped tables are there?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0592_00.mp4" } ]
vqa
{ "ground_truth": [ 3, 4, 5, 6, 7, 17, 18, 19, 31, 32, 47, 48, 56, 57, 58, 59, 60 ], "style": "rule" }
{ "answer": [ 3, 4, 5, 6, 7, 17, 18, 19, 31, 32, 47, 48, 56, 57, 58, 59, 60 ], "index": 6, "question": "How many white l-shaped tables are there?", "split": "train", "video_repo_path": "videos/scene0592_00.mp4" }
train-scene0456-26
scene0456_00
[ "8", "11", "14", "16", "19", "22", "25", "27", "30", "33", "36", "38", "41", "44", "47", "49", "52", "55", "58", "60", "63", "66", "69", "71", "74", "77", "80", "82", "85", "88", "90", "93", "96", "99", "101", "104", "107", "110", "112", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the black chair placed?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role":...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0456_00.mp4" } ]
vqa
{ "ground_truth": [ 1, 2, 3, 4, 5, 6, 24, 25, 33, 34, 35, 36, 37, 38, 39, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 1, 2, 3, 4, 5, 6, 24, 25, 33, 34, 35, 36, 37, 38, 39, 59, 60, 61, 62, 63 ], "index": 7, "question": "Where is the black chair placed?", "split": "train", "video_repo_path": "videos/scene0456_00.mp4" }
train-scene0009-24
scene0009_00
[ "277", "279", "281", "283", "284", "286", "288", "290", "292", "294", "296", "298", "300", "302", "304", "306", "308", "310", "312", "314", "316", "318", "320", "322", "324", "326", "328", "330", "332", "334", "335", "337", "339", "341", "343", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color paper towel dispenser is on top of the sink?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time d...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0009_00.mp4" } ]
vqa
{ "ground_truth": [ 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "style": "rule" }
{ "answer": [ 18, 19, 20, 21, 22, 23, 24, 25, 26 ], "index": 8, "question": "What color paper towel dispenser is on top of the sink?", "split": "train", "video_repo_path": "videos/scene0009_00.mp4" }
train-scene0677-54
scene0677_00
[ "155", "174", "179", "183", "188", "193", "197", "202", "207", "212", "216", "221", "226", "230", "235", "240", "244", "249", "254", "259", "263", "268", "273", "277", "282", "287", "291", "296", "301", "306", "310", "315", "320", "2205", "2210", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many curtains cover a large window?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0677_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 7, 8, 60, 61, 62 ], "style": "rule" }
{ "answer": [ 5, 6, 7, 8, 60, 61, 62 ], "index": 9, "question": "How many curtains cover a large window?", "split": "train", "video_repo_path": "videos/scene0677_00.mp4" }
train-scene0564-64
scene0564_00
[ "303", "310", "317", "324", "332", "339", "346", "353", "360", "367", "374", "381", "388", "395", "402", "409", "416", "423", "430", "437", "444", "451", "459", "466", "473", "480", "487", "494", "501", "508", "515", "522", "529", "536", "543", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What shape is the bathroom stall door?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0564_00.mp4" } ]
vqa
{ "ground_truth": [ 6, 7, 8, 9, 10, 11, 32, 38, 51, 54, 55, 56, 57, 58, 59 ], "style": "rule" }
{ "answer": [ 6, 7, 8, 9, 10, 11, 32, 38, 51, 54, 55, 56, 57, 58, 59 ], "index": 10, "question": "What shape is the bathroom stall door?", "split": "train", "video_repo_path": "videos/scene0564_00.mp4" }
train-scene0487-51
scene0487_00
[ "1216", "1222", "1228", "1234", "1240", "1246", "1258", "1264", "1270", "1276", "1282", "1288", "1294", "1300", "1306", "1312", "1318", "1324", "1330", "1336", "1342", "1348", "1354", "1360", "1366", "1372", "1378", "1384", "1390", "1396", "1402", "1408"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the brown door located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role":...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0487_00.mp4" } ]
vqa
{ "ground_truth": [ 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "style": "rule" }
{ "answer": [ 26, 27, 28, 29, 30, 31, 32, 33, 34 ], "index": 11, "question": "Where is the brown door located?", "split": "train", "video_repo_path": "videos/scene0487_00.mp4" }
train-scene0396-2
scene0396_00
[ "243", "245", "247", "249", "252", "254", "256", "258", "260", "263", "265", "267", "269", "271", "274", "276", "278", "280", "282", "285", "287", "289", "291", "293", "296", "298", "300", "302", "304", "307", "309", "311", "313", "316", "318", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What hangs into a tub in the left back corner of the bathroom?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0396_00.mp4" } ]
vqa
{ "ground_truth": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "style": "rule" }
{ "answer": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32 ], "index": 12, "question": "What hangs into a tub in the left back corner of the bathroom?", "split": "train", "video_repo_path": "videos/scen...
train-scene0668-6
scene0668_00
[ "0", "2", "5", "7", "9", "12", "14", "16", "19", "21", "23", "26", "28", "31", "33", "35", "38", "40", "42", "45", "47", "49", "52", "54", "56", "59", "61", "63", "75", "78", "80", "82", "85", "87", "89", "92", "94", "96", "99", "101", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is in front of a brown cabinet?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "ro...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0668_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 32, 33, 35 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 32, 33, 35 ], "index": 13, "question": "What is in front of a brown cabinet?", "split": "train", "video_repo_path": "videos/scene0668_00.mp4" }
train-scene0346-13
scene0346_00
[ "137", "138", "139", "140", "141", "142", "143", "144", "146", "147", "148", "149", "150", "151", "152", "153", "155", "156", "157", "158", "159", "160", "161", "162", "164", "165", "166", "167", "168", "169", "170", "171", "173", "174", "175", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the color of the shower curtain?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0346_00.mp4" } ]
vqa
{ "ground_truth": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 62, 63 ], "style": "rule" }
{ "answer": [ 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 62, 63 ], "index": 14, "question": "What is the color of the shower curtain?", "split": "train", "video_repo_path": "videos/scene0346_00.mp4" }
train-scene0003-77
scene0003_00
[ "313", "316", "320", "323", "327", "330", "334", "337", "341", "344", "348", "351", "355", "358", "362", "365", "369", "372", "376", "379", "382", "386", "389", "393", "396", "400", "403", "407", "410", "414", "417", "421", "424", "428", "431", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the black soap dispenser mounted?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0003_00.mp4" } ]
vqa
{ "ground_truth": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 61, 62 ], "style": "rule" }
{ "answer": [ 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 61, 62 ], "index": 15, "question": "Where is the black soap dispenser mounted?", "split": "train", "vi...
train-scene0590-50
scene0590_00
[ "695", "700", "706", "711", "716", "722", "727", "733", "738", "743", "749", "754", "1454", "1460", "1465", "1498", "1503", "1508", "1514", "1519", "1524", "1530", "1535", "1541", "1546", "1551", "1557", "1562", "1568", "1573", "1578", "1584", "1589", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many black office chairs does the table sit between?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0590_00.mp4" } ]
vqa
{ "ground_truth": [ 17, 36, 37, 38, 39, 40, 41, 42, 43, 44, 59 ], "style": "rule" }
{ "answer": [ 17, 36, 37, 38, 39, 40, 41, 42, 43, 44, 59 ], "index": 16, "question": "How many black office chairs does the table sit between?", "split": "train", "video_repo_path": "videos/scene0590_00.mp4" }
train-scene0627-88
scene0627_00
[ "32", "36", "41", "45", "50", "54", "59", "63", "68", "72", "77", "82", "86", "91", "95", "100", "104", "109", "113", "118", "122", "127", "131", "136", "140", "145", "150", "580", "585", "589", "594", "598", "603", "607", "612", "616", "621", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is a bright window on the wall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "r...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0627_00.mp4" } ]
vqa
{ "ground_truth": [ 1, 2, 3, 4, 17, 18, 26, 27, 28, 29, 30, 31, 32, 51, 63 ], "style": "rule" }
{ "answer": [ 1, 2, 3, 4, 17, 18, 26, 27, 28, 29, 30, 31, 32, 51, 63 ], "index": 17, "question": "Where is a bright window on the wall?", "split": "train", "video_repo_path": "videos/scene0627_00.mp4" }
train-scene0220-10
scene0220_00
[ "139", "144", "150", "155", "160", "166", "171", "176", "289", "294", "299", "305", "310", "315", "321", "326", "331", "337", "342", "348", "353", "358", "364", "369", "374", "380", "385", "390", "396", "401", "406", "438", "449", "535", "540", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the cabinet over the microwave?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction."...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0220_00.mp4" } ]
vqa
{ "ground_truth": [ 4, 7, 8, 9, 13, 42, 45, 57, 59 ], "style": "rule" }
{ "answer": [ 4, 7, 8, 9, 13, 42, 45, 57, 59 ], "index": 18, "question": "What color is the cabinet over the microwave?", "split": "train", "video_repo_path": "videos/scene0220_00.mp4" }
train-scene0480-47
scene0480_00
[ "0", "2", "4", "6", "7", "9", "11", "13", "15", "17", "19", "21", "22", "24", "26", "28", "30", "32", "34", "36", "37", "39", "41", "43", "45", "47", "49", "51", "52", "54", "56", "58", "60", "62", "64", "66", "67", "69", "71", "73", "7...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the square teal pillow on the left side of a couch?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for t...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0480_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47 ], "index": 19, "question": "Where is the square teal pillow on the left side of a couch?", "split": "train...
train-scene0296-4
scene0296_00
[ "195", "197", "199", "201", "203", "205", "207", "209", "211", "213", "215", "217", "219", "221", "223", "224", "226", "228", "230", "232", "234", "236", "238", "240", "242", "244", "246", "248", "250", "252", "254", "256", "258", "260", "262", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the nightstand located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role":...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0296_00.mp4" } ]
vqa
{ "ground_truth": [ 13, 14, 15, 16, 17, 18, 19 ], "style": "rule" }
{ "answer": [ 13, 14, 15, 16, 17, 18, 19 ], "index": 20, "question": "Where is the nightstand located?", "split": "train", "video_repo_path": "videos/scene0296_00.mp4" }
train-scene0627-22
scene0627_00
[ "222", "227", "231", "236", "240", "245", "249", "254", "258", "263", "267", "272", "276", "526", "535", "539", "1948", "1953", "1957", "1962", "1966", "1971", "1976", "1980", "1985", "1989", "1994", "1998", "2003", "2007", "2012", "2016", "2021", "2...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is above the cabinets?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "use...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0627_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 15, 55, 56, 57, 58, 59 ], "style": "rule" }
{ "answer": [ 7, 15, 55, 56, 57, 58, 59 ], "index": 21, "question": "What is above the cabinets?", "split": "train", "video_repo_path": "videos/scene0627_00.mp4" }
train-scene0627-19
scene0627_00
[ "245", "249", "254", "258", "263", "267", "272", "276", "281", "285", "290", "295", "299", "304", "308", "313", "317", "322", "326", "331", "335", "512", "517", "521", "526", "530", "535", "539", "544", "548", "553", "557", "562", "566", "571", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the chair on the left when the counter is on the right?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format fo...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0627_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 8, 9, 15, 16, 17, 18, 26, 27, 51, 52, 53, 54, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 7, 8, 9, 15, 16, 17, 18, 26, 27, 51, 52, 53, 54, 61, 62, 63 ], "index": 22, "question": "What is the chair on the left when the counter is on the right?", "split": "train", "video_repo_path": "videos/scene0627_00.mp4" }
train-scene0661-48
scene0661_00
[ "307", "310", "313", "316", "320", "323", "326", "330", "333", "336", "340", "343", "346", "349", "353", "356", "359", "363", "366", "369", "373", "376", "379", "382", "386", "389", "392", "396", "399", "402", "405", "409", "412", "415", "462", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the monitor?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0661_00.mp4" } ]
vqa
{ "ground_truth": [ 12, 13, 14, 15, 19, 20, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "style": "rule" }
{ "answer": [ 12, 13, 14, 15, 19, 20, 34, 35, 36, 37, 38, 39, 40, 41, 42 ], "index": 23, "question": "What color is the monitor?", "split": "train", "video_repo_path": "videos/scene0661_00.mp4" }
train-scene0538-26
scene0538_00
[ "0", "7", "14", "21", "891", "898", "905", "912", "919", "926", "933", "940", "947", "954", "961", "968", "975", "982", "990", "997", "1004", "1011", "1018", "1025", "1032", "1039", "1046", "1053", "1060", "1067", "1074", "1081", "1088", "1096", "1...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the door in the back left corner of the room?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for ti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0538_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 16, 17, 18, 19, 20, 21, 37, 40, 42, 60, 61, 62 ], "style": "rule" }
{ "answer": [ 0, 16, 17, 18, 19, 20, 21, 37, 40, 42, 60, 61, 62 ], "index": 24, "question": "What color is the door in the back left corner of the room?", "split": "train", "video_repo_path": "videos/scene0538_00.mp4" }
train-scene0691-19
scene0691_00
[ "146", "149", "151", "153", "156", "158", "161", "163", "165", "168", "170", "172", "175", "177", "179", "182", "184", "186", "189", "191", "194", "196", "198", "201", "203", "205", "208", "210", "212", "215", "217", "220", "222", "224", "227", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the other cabinet located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "rol...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0691_00.mp4" } ]
vqa
{ "ground_truth": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 50, 51 ], "style": "rule" }
{ "answer": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 50, 51 ], "index": 25, "question": "Where is the other cabinet located?", "split": "train", "video_repo_path": "videos/scene0691_00.mp4" }
train-scene0372-96
scene0372_00
[ "0", "5", "11", "16", "21", "27", "32", "37", "42", "48", "53", "58", "64", "69", "74", "859", "896", "901", "906", "912", "917", "922", "928", "933", "938", "944", "949", "954", "959", "965", "970", "975", "981", "986", "991", "997", "1002", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the color of the chair at the corner of the room?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0372_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 51, 52, 54, 55, 56 ], "style": "rule" }
{ "answer": [ 0, 1, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 51, 52, 54, 55, 56 ], "index": 26, "question": "What is the color of the chair at the corner of the room?", "split": "train", "video_repo_path": "videos/scene0372_0...
train-scene0478-16
scene0478_00
[ "425", "428", "430", "432", "434", "436", "438", "440", "442", "444", "447", "449", "451", "453", "455", "457", "459", "461", "463", "465", "468", "470", "472", "474", "476", "478", "480", "482", "484", "487", "489", "491", "493", "495", "497", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is to the left of the door?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role":...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0478_00.mp4" } ]
vqa
{ "ground_truth": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "style": "rule" }
{ "answer": [ 26, 27, 28, 29, 30, 31, 32, 33, 34, 35 ], "index": 27, "question": "What is to the left of the door?", "split": "train", "video_repo_path": "videos/scene0478_00.mp4" }
train-scene0472-61
scene0472_00
[ "179", "183", "187", "191", "194", "198", "202", "206", "210", "214", "218", "222", "226", "261", "265", "268", "272", "276", "280", "284", "288", "292", "296", "300", "303", "307", "311", "315", "319", "323", "327", "331", "335", "338", "342", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is pushed up against the table, with a fan on it?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time de...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0472_00.mp4" } ]
vqa
{ "ground_truth": [ 6, 7, 9, 10, 11, 12, 27, 28, 54, 55, 56, 57, 59, 60, 61 ], "style": "rule" }
{ "answer": [ 6, 7, 9, 10, 11, 12, 27, 28, 54, 55, 56, 57, 59, 60, 61 ], "index": 28, "question": "What is pushed up against the table, with a fan on it?", "split": "train", "video_repo_path": "videos/scene0472_00.mp4" }
train-scene0374-39
scene0374_00
[ "0", "3", "7", "10", "13", "16", "20", "23", "26", "46", "49", "53", "56", "59", "63", "66", "69", "72", "76", "79", "82", "86", "89", "92", "95", "99", "102", "105", "109", "112", "115", "119", "122", "125", "128", "132", "135", "138", "14...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is on the couch next to a lime green pillow?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depicti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0374_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 42, 43, 44, 45, 46, 50, 51, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 42, 43, 44, 45, 46, 50, 51, 59, 60, 61, 62, 63 ], "index": 29, "question": "What is on the couch next to a lime green pillow?", "split": "...
train-scene0507-26
scene0507_00
[ "0", "2", "5", "7", "10", "12", "15", "17", "19", "22", "24", "27", "29", "32", "34", "36", "39", "41", "44", "46", "48", "63", "65", "68", "70", "73", "75", "78", "80", "82", "85", "87", "90", "92", "95", "97", "99", "102", "104", "107",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: The pillow is to the right of what?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "rol...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0507_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 4, 5, 6, 7, 8, 9, 16, 17, 18, 19, 23, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 44, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, ...
{ "answer": [ 0, 1, 2, 4, 5, 6, 7, 8, 9, 16, 17, 18, 19, 23, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 44, 45, 46, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, ...
train-scene0405-17
scene0405_00
[ "0", "5", "10", "14", "19", "24", "29", "33", "38", "43", "48", "53", "57", "62", "67", "72", "76", "81", "86", "91", "96", "100", "105", "110", "115", "119", "473", "478", "502", "506", "511", "516", "521", "526", "530", "535", "540", "545",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: On what side of the can is the trash can located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depicti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0405_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 28, 31, 32, 33, 34, 45, 46, 47, 48 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 28, 31, 32, 33, 34, 45, 46, 47, 48 ], "index": 31, "question": "On what side of the can is the trash can located?", "split": "train", "video_r...
train-scene0569-69
scene0569_00
[ "174", "177", "179", "181", "184", "186", "188", "191", "193", "195", "198", "200", "202", "205", "207", "209", "212", "214", "216", "219", "221", "223", "226", "228", "230", "233", "235", "237", "240", "242", "244", "247", "249", "251", "254", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the second chair on the left side of the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time d...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0569_00.mp4" } ]
vqa
{ "ground_truth": [ 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "style": "rule" }
{ "answer": [ 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "index": 32, "question": "What is the second chair on the left side of the table?", "split": "train", "video_repo_path": "videos/scene0569_00.mp4" }
train-scene0129-17
scene0129_00
[ "1586", "1590", "1594", "1599", "1603", "1607", "1611", "1616", "1620", "1624", "1628", "1633", "1637", "1641", "1645", "1650", "1654", "1658", "1662", "1667", "1671", "1675", "1679", "1683", "1688", "1692", "1696", "1700", "1705", "1709", "1713", "1717"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is lining the wall just before the easel?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction....
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0129_00.mp4" } ]
vqa
{ "ground_truth": [ 48, 49, 50, 51, 52, 56, 57, 59, 60 ], "style": "rule" }
{ "answer": [ 48, 49, 50, 51, 52, 56, 57, 59, 60 ], "index": 33, "question": "What is lining the wall just before the easel?", "split": "train", "video_repo_path": "videos/scene0129_00.mp4" }
train-scene0350-68
scene0350_00
[ "395", "398", "401", "404", "406", "409", "412", "415", "418", "421", "424", "426", "429", "432", "435", "438", "441", "444", "446", "449", "452", "455", "458", "461", "464", "466", "469", "472", "475", "478", "481", "484", "486", "489", "492", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What shape is the brown cabinet next to the door?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depicti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0350_00.mp4" } ]
vqa
{ "ground_truth": [ 18, 19, 20, 21, 22, 23, 24, 25, 48, 49, 50, 51 ], "style": "rule" }
{ "answer": [ 18, 19, 20, 21, 22, 23, 24, 25, 48, 49, 50, 51 ], "index": 34, "question": "What shape is the brown cabinet next to the door?", "split": "train", "video_repo_path": "videos/scene0350_00.mp4" }
train-scene0677-1
scene0677_00
[ "668", "672", "677", "682", "686", "691", "696", "701", "705", "710", "715", "719", "724", "729", "733", "738", "743", "748", "752", "757", "762", "766", "771", "776", "780", "785", "790", "795", "799", "804", "809", "813", "818", "823", "827", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the black tv stand located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "ro...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0677_00.mp4" } ]
vqa
{ "ground_truth": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 58, 59, 60 ], "style": "rule" }
{ "answer": [ 18, 19, 20, 21, 22, 23, 24, 25, 26, 58, 59, 60 ], "index": 35, "question": "Where is the black tv stand located?", "split": "train", "video_repo_path": "videos/scene0677_00.mp4" }
train-scene0185-20
scene0185_00
[ "622", "627", "633", "638", "644", "649", "655", "660", "665", "671", "676", "824", "829", "835", "840", "846", "851", "856", "862", "867", "873", "878", "884", "889", "895", "900", "906", "911", "916", "922", "2237", "2242", "2247", "2253", "2258"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many chairs are around the table, closest to the podium?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for t...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0185_00.mp4" } ]
vqa
{ "ground_truth": [ 15, 20, 21, 52, 53, 54, 55, 59 ], "style": "rule" }
{ "answer": [ 15, 20, 21, 52, 53, 54, 55, 59 ], "index": 36, "question": "How many chairs are around the table, closest to the podium?", "split": "train", "video_repo_path": "videos/scene0185_00.mp4" }
train-scene0331-33
scene0331_00
[ "0", "8", "15", "23", "30", "38", "45", "53", "60", "68", "75", "83", "90", "602", "610", "617", "625", "632", "640", "647", "655", "662", "670", "677", "685", "692", "722", "730", "737", "745", "753", "760", "813", "820", "828", "835", "843", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of desk is there scattered cloths and papers around?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0331_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 11, 14, 15, 40, 42, 43, 44, 45, 49, 51, 52, 53, 54, 60, 61 ], "style": "rule" }
{ "answer": [ 0, 1, 11, 14, 15, 40, 42, 43, 44, 45, 49, 51, 52, 53, 54, 60, 61 ], "index": 37, "question": "What type of desk is there scattered cloths and papers around?", "split": "train", "video_repo_path": "videos/scene0331_00.mp4" }
train-scene0350-31
scene0350_00
[ "100", "103", "106", "109", "112", "114", "117", "120", "123", "126", "129", "132", "135", "137", "140", "143", "146", "149", "152", "155", "157", "160", "163", "166", "169", "172", "175", "177", "180", "183", "186", "189", "192", "195", "197", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What shape is the bathroom stall door?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0350_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 38, 39, 40, 41, 42 ], "style": "rule" }
{ "answer": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 38, 39, 40, 41, 42 ], "index": 38, "question": "What shape is the bathroom stall door?", "split": "train", "video_repo_path": "videos/scene0350_00.mp4" }
train-scene0012-55
scene0012_00
[ "236", "246", "257", "268", "279", "289", "300", "311", "321", "332", "343", "354", "1093", "1103", "1114", "1125", "1136", "1146", "1157", "1168", "1178", "1189", "1200", "1211", "1221", "1232", "1243", "1253", "1264", "1275", "1286", "1296", "1307", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of table is put on the floor?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0012_00.mp4" } ]
vqa
{ "ground_truth": [ 3, 4, 13, 14, 15, 16, 32, 33, 41, 42, 43, 44, 45, 47, 56, 60, 61, 62 ], "style": "rule" }
{ "answer": [ 3, 4, 13, 14, 15, 16, 32, 33, 41, 42, 43, 44, 45, 47, 56, 60, 61, 62 ], "index": 39, "question": "What type of table is put on the floor?", "split": "train", "video_repo_path": "videos/scene0012_00.mp4" }
train-scene0628-21
scene0628_00
[ "425", "428", "430", "432", "435", "437", "440", "442", "444", "447", "449", "451", "454", "456", "459", "461", "463", "466", "468", "471", "473", "475", "478", "480", "483", "485", "487", "490", "492", "494", "497", "499", "502", "504", "506", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the swivel chair located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0628_00.mp4" } ]
vqa
{ "ground_truth": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "style": "rule" }
{ "answer": [ 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "index": 40, "question": "Where is the swivel chair located?", "split": "train", "video_repo_path": "videos/scene0628_00.mp4" }
train-scene0276-60
scene0276_00
[ "64", "68", "72", "76", "81", "85", "89", "93", "98", "102", "106", "110", "115", "119", "123", "157", "161", "166", "170", "174", "178", "183", "187", "191", "195", "199", "204", "208", "212", "216", "221", "225", "229", "552", "556", "560", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many chairs are in the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role"...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0276_00.mp4" } ]
vqa
{ "ground_truth": [ 2, 3, 5, 6, 17, 23, 35 ], "style": "rule" }
{ "answer": [ 2, 3, 5, 6, 17, 23, 35 ], "index": 41, "question": "How many chairs are in the table?", "split": "train", "video_repo_path": "videos/scene0276_00.mp4" }
train-scene0446-35
scene0446_00
[ "232", "236", "240", "245", "249", "253", "257", "261", "265", "270", "274", "278", "282", "286", "290", "294", "299", "303", "307", "311", "315", "319", "323", "328", "332", "336", "340", "344", "348", "352", "357", "381", "386", "390", "394", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is on the shelf, above the toilet?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0446_00.mp4" } ]
vqa
{ "ground_truth": [ 8, 9, 10, 12, 13, 14, 49, 63 ], "style": "rule" }
{ "answer": [ 8, 9, 10, 12, 13, 14, 49, 63 ], "index": 42, "question": "What is on the shelf, above the toilet?", "split": "train", "video_repo_path": "videos/scene0446_00.mp4" }
train-scene0449-61
scene0449_00
[ "862", "866", "869", "872", "875", "878", "881", "884", "887", "890", "893", "897", "900", "943", "946", "949", "952", "955", "959", "962", "965", "968", "971", "974", "977", "980", "983", "987", "990", "993", "996", "999", "1002", "1005", "1008", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where does a towel hang on a towel rack?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0449_00.mp4" } ]
vqa
{ "ground_truth": [ 36, 39, 40, 41, 42, 43, 44 ], "style": "rule" }
{ "answer": [ 36, 39, 40, 41, 42, 43, 44 ], "index": 43, "question": "Where does a towel hang on a towel rack?", "split": "train", "video_repo_path": "videos/scene0449_00.mp4" }
train-scene0506-33
scene0506_00
[ "65", "67", "69", "70", "72", "74", "75", "77", "79", "81", "82", "84", "86", "87", "89", "91", "93", "94", "96", "98", "99", "101", "103", "105", "106", "108", "110", "112", "113", "115", "117", "118", "120", "122", "124", "125", "127", "129...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the rectangular window facing?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0506_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 56, 57, 58, 59, 60 ], "style": "rule" }
{ "answer": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 56, 57, 58, 59, 60 ], "index": 44, "question": "What is the rectangular window facing?", "split": "train", "video_repo_path": "...
train-scene0315-114
scene0315_00
[ "381", "384", "387", "390", "393", "396", "399", "402", "405", "408", "411", "414", "417", "419", "422", "425", "428", "431", "434", "437", "440", "443", "446", "449", "452", "455", "458", "461", "464", "467", "470", "473", "570", "573", "576", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the rightmost chair between two cabinets?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depicti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0315_00.mp4" } ]
vqa
{ "ground_truth": [ 17, 18, 19, 20, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 62, 63 ], "style": "rule" }
{ "answer": [ 17, 18, 19, 20, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 62, 63 ], "index": 45, "question": "What is the rightmost chair between two cabinets?", "split": "train", "video_repo_path": "videos/scene0315_00.mp4" }
train-scene0469-45
scene0469_00
[ "430", "432", "434", "435", "437", "439", "441", "442", "444", "446", "448", "449", "451", "453", "455", "457", "458", "460", "462", "464", "465", "467", "469", "471", "472", "474", "476", "478", "480", "481", "483", "485", "487", "488", "490", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many monitors are on the beige desk, on the left side?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for tim...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0469_00.mp4" } ]
vqa
{ "ground_truth": [ 31, 32, 33, 34, 35, 36, 37 ], "style": "rule" }
{ "answer": [ 31, 32, 33, 34, 35, 36, 37 ], "index": 46, "question": "How many monitors are on the beige desk, on the left side?", "split": "train", "video_repo_path": "videos/scene0469_00.mp4" }
train-scene0079-5
scene0079_00
[ "93", "96", "98", "101", "103", "105", "108", "110", "113", "115", "117", "120", "122", "125", "127", "129", "132", "134", "137", "139", "141", "144", "146", "148", "151", "153", "156", "158", "160", "163", "165", "168", "170", "172", "175", "177...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is on the table with the dark blue seat?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction."...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0079_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "style": "rule" }
{ "answer": [ 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ], "index": 47, "question": "What is on the table with the dark blue seat?", "split": "train", "video_repo_path": "videos/scene0079_00.mp4" }
train-scene0540-45
scene0540_00
[ "37", "39", "41", "43", "45", "47", "49", "51", "53", "55", "57", "59", "61", "63", "65", "67", "69", "71", "73", "75", "86", "88", "90", "92", "94", "96", "98", "100", "102", "104", "106", "108", "110", "112", "114", "116", "118", "120", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of cabinets are angled and sloped downward?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time dep...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0540_00.mp4" } ]
vqa
{ "ground_truth": [ 3, 4, 6, 7, 8, 9, 10, 11, 44, 45, 48, 49, 51, 52, 53, 54 ], "style": "rule" }
{ "answer": [ 3, 4, 6, 7, 8, 9, 10, 11, 44, 45, 48, 49, 51, 52, 53, 54 ], "index": 48, "question": "What type of cabinets are angled and sloped downward?", "split": "train", "video_repo_path": "videos/scene0540_00.mp4" }
train-scene0341-79
scene0341_00
[ "0", "5", "10", "16", "21", "26", "31", "36", "41", "47", "52", "57", "62", "67", "72", "1416", "1421", "1597", "1602", "1607", "1613", "1618", "1623", "1628", "1633", "1638", "1685", "1690", "1695", "1700", "1706", "1711", "1716", "1721", "1726", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: The monitor is located to the left side of what and a file cabinet is under the desk?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format wit...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0341_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 61, 62, 63 ], "index": 49, "question": "The monitor is located to the left side of what and a file cabinet is under the desk?", "split": "train", "video_rep...
train-scene0573-25
scene0573_00
[ "159", "161", "162", "164", "166", "167", "169", "170", "172", "174", "175", "177", "179", "180", "182", "184", "185", "187", "189", "190", "192", "193", "195", "197", "198", "200", "202", "203", "205", "207", "208", "210", "211", "213", "215", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What kind of cabinet is right of a stove?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0573_00.mp4" } ]
vqa
{ "ground_truth": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 56, 57, 58, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 13, 14, 15, 16, 17, 18, 19, 20, 21, 56, 57, 58, 59, 60, 61, 62, 63 ], "index": 50, "question": "What kind of cabinet is right of a stove?", "split": "train", "video_repo_path": "videos/scene0573_00.mp4" }
train-scene0047-128
scene0047_00
[ "41", "44", "47", "49", "52", "55", "57", "60", "63", "66", "68", "71", "74", "77", "79", "82", "85", "88", "90", "93", "96", "98", "101", "104", "107", "109", "112", "115", "118", "120", "123", "126", "528", "531", "533", "536", "539", "542"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is behind the kitchen cabinet?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "rol...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0047_00.mp4" } ]
vqa
{ "ground_truth": [ 2, 3, 4, 5, 25, 26, 27, 28, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 2, 3, 4, 5, 25, 26, 27, 28, 60, 61, 62, 63 ], "index": 51, "question": "What is behind the kitchen cabinet?", "split": "train", "video_repo_path": "videos/scene0047_00.mp4" }
train-scene0615-1
scene0615_00
[ "57", "59", "61", "64", "66", "68", "70", "73", "75", "77", "79", "82", "84", "86", "88", "91", "93", "95", "98", "100", "102", "104", "107", "109", "111", "445", "447", "449", "451", "454", "456", "458", "461", "463", "465", "467", "470", "4...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the fan located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user"...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0615_00.mp4" } ]
vqa
{ "ground_truth": [ 4, 5, 6, 25, 26, 61, 62 ], "style": "rule" }
{ "answer": [ 4, 5, 6, 25, 26, 61, 62 ], "index": 52, "question": "Where is the fan located?", "split": "train", "video_repo_path": "videos/scene0615_00.mp4" }
train-scene0416-31
scene0416_00
[ "858", "863", "867", "871", "875", "880", "884", "888", "892", "896", "901", "905", "909", "913", "918", "922", "926", "930", "934", "939", "943", "947", "951", "956", "960", "964", "989", "994", "998", "1002", "1006", "1011", "1387", "1404", "1408...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many other white pillows are stacked on the right?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time de...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0416_00.mp4" } ]
vqa
{ "ground_truth": [ 26, 27, 28, 30, 42, 46, 47, 48, 49, 53, 62 ], "style": "rule" }
{ "answer": [ 26, 27, 28, 30, 42, 46, 47, 48, 49, 53, 62 ], "index": 53, "question": "How many other white pillows are stacked on the right?", "split": "train", "video_repo_path": "videos/scene0416_00.mp4" }
train-scene0691-16
scene0691_00
[ "146", "149", "151", "153", "156", "158", "161", "163", "165", "168", "170", "172", "175", "177", "179", "182", "184", "186", "189", "191", "194", "196", "198", "201", "203", "205", "208", "210", "212", "215", "217", "220", "222", "224", "227", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many chairs are on the left side of the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depict...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0691_00.mp4" } ]
vqa
{ "ground_truth": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 50, 51, 52, 53, 54 ], "style": "rule" }
{ "answer": [ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 50, 51, 52, 53, 54 ], "index": 54, "question": "How many chairs are on the left side of the table?", "split": "train", "video_repo_path": "videos/scene0691_00.mp4" }
train-scene0012-10
scene0012_00
[ "171", "182", "193", "204", "214", "225", "236", "246", "257", "268", "279", "1136", "1146", "1157", "1168", "1178", "1189", "1200", "1211", "1221", "1232", "1243", "1253", "1264", "1275", "1286", "1296", "1307", "1318", "1328", "1339", "1350", "1361",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color leather is the chair in the living room?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depic...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0012_00.mp4" } ]
vqa
{ "ground_truth": [ 2, 3, 14, 15, 16, 17, 31, 32, 33, 34, 35, 47, 48, 49, 50, 52, 53, 54, 55, 56, 61, 62 ], "style": "rule" }
{ "answer": [ 2, 3, 14, 15, 16, 17, 31, 32, 33, 34, 35, 47, 48, 49, 50, 52, 53, 54, 55, 56, 61, 62 ], "index": 55, "question": "What color leather is the chair in the living room?", "split": "train", "video_repo_path": "...
train-scene0692-10
scene0692_00
[ "377", "380", "382", "385", "388", "390", "393", "396", "398", "401", "404", "406", "409", "411", "414", "417", "419", "422", "425", "427", "430", "433", "435", "438", "440", "443", "446", "448", "451", "454", "456", "459", "462", "464", "467", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is behind the wooden armchair pushed up to the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for tim...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0692_00.mp4" } ]
vqa
{ "ground_truth": [ 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 61, 62, 63 ], "index": 56, "question": "What is behind the wooden armchair pushed up to the table?", "split": "train", "video_repo_path": "videos/scene0692_00.mp4" }
train-scene0305-5
scene0305_00
[ "155", "160", "165", "170", "175", "181", "186", "191", "196", "201", "206", "211", "1534", "1539", "1544", "1549", "1554", "1559", "1564", "1569", "1574", "1579", "1584", "1589", "1594", "1599", "1604", "1610", "1615", "1620", "1625", "1630", "1635", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the keyboard on the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0305_00.mp4" } ]
vqa
{ "ground_truth": [ 4, 5, 39, 40, 41, 42, 43, 48 ], "style": "rule" }
{ "answer": [ 4, 5, 39, 40, 41, 42, 43, 48 ], "index": 57, "question": "What color is the keyboard on the table?", "split": "train", "video_repo_path": "videos/scene0305_00.mp4" }
train-scene0402-12
scene0402_00
[ "72", "73", "75", "76", "78", "79", "81", "82", "84", "85", "86", "88", "89", "91", "92", "94", "95", "97", "98", "100", "101", "103", "104", "105", "107", "108", "110", "111", "113", "114", "116", "117", "119", "120", "122", "123", "125", "1...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the chair in the right corner in front of the window?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' forma...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0402_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "style": "rule" }
{ "answer": [ 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40 ], "index": 58, "question": "What color is the chair in the right corner in front of the window?", "split": ...
train-scene0390-22
scene0390_00
[ "0", "5", "11", "16", "21", "26", "32", "37", "42", "69", "74", "79", "84", "90", "95", "100", "105", "111", "116", "121", "126", "132", "137", "142", "148", "153", "158", "163", "169", "174", "179", "184", "190", "195", "200", "206", "211", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is a window installed in a kitchen?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0390_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 22, 30, 31, 32, 33, 61, 62 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 22, 30, 31, 32, 33, 61, 62 ], "index": 59, "question": "Where is a window installed in a kitchen?", "split": "train", "video_repo_path": "videos/scene0390_00.mp4" }
train-scene0443-13
scene0443_00
[ "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is a black monitor placed?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role":...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0443_00.mp4" } ]
vqa
{ "ground_truth": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "style": "rule" }
{ "answer": [ 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24 ], "index": 60, "question": "Where is a black monitor placed?", "split": "train", "video_repo_path": "videos/scene0443_00.mp4" }
train-scene0012-13
scene0012_00
[ "268", "279", "1136", "1146", "1157", "1168", "1178", "1189", "1200", "1211", "1221", "1232", "1243", "1253", "1264", "1275", "1286", "1296", "1307", "1318", "1328", "1339", "1350", "1361", "1371", "1382", "1393", "1403", "2678", "2689", "2700", "2710", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What kind of chairs are in the living room?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0012_00.mp4" } ]
vqa
{ "ground_truth": [ 14, 15, 16, 32, 33, 47, 56, 61, 62 ], "style": "rule" }
{ "answer": [ 14, 15, 16, 32, 33, 47, 56, 61, 62 ], "index": 61, "question": "What kind of chairs are in the living room?", "split": "train", "video_repo_path": "videos/scene0012_00.mp4" }
train-scene0035-11
scene0035_00
[ "408", "411", "414", "417", "419", "422", "425", "428", "431", "434", "437", "440", "443", "446", "449", "452", "455", "458", "461", "464", "467", "470", "473", "476", "479", "481", "484", "487", "490", "493", "496", "499", "502", "505", "508", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the bed?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user" } ]
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0035_00.mp4" } ]
vqa
{ "ground_truth": [ 18, 19, 20, 21, 22, 23, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "style": "rule" }
{ "answer": [ 18, 19, 20, 21, 22, 23, 48, 49, 50, 51, 52, 53, 54, 55, 56 ], "index": 62, "question": "Where is the bed?", "split": "train", "video_repo_path": "videos/scene0035_00.mp4" }
train-scene0429-10
scene0429_00
[ "0", "2", "4", "6", "8", "10", "12", "14", "17", "19", "21", "23", "25", "27", "29", "31", "33", "35", "37", "39", "41", "43", "45", "47", "50", "52", "54", "56", "58", "60", "62", "64", "66", "68", "70", "72", "74", "76", "78", "81", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color shower curtain hangs in front of a shower stall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for ti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0429_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62 ], "index": 63, "question": "What col...
train-scene0672-56
scene0672_00
[ "183", "189", "194", "200", "269", "274", "280", "286", "292", "297", "303", "309", "314", "320", "326", "332", "337", "343", "349", "354", "360", "366", "372", "377", "383", "389", "395", "400", "406", "412", "417", "1658", "1664", "1669", "1675",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What kind of piano is pushed against the wall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction....
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0672_00.mp4" } ]
vqa
{ "ground_truth": [ 4, 6, 7, 8, 9, 37, 38, 39, 40, 41, 42, 43, 44 ], "style": "rule" }
{ "answer": [ 4, 6, 7, 8, 9, 37, 38, 39, 40, 41, 42, 43, 44 ], "index": 64, "question": "What kind of piano is pushed against the wall?", "split": "train", "video_repo_path": "videos/scene0672_00.mp4" }
train-scene0049-59
scene0049_00
[ "116", "120", "123", "127", "130", "134", "137", "140", "144", "147", "151", "154", "158", "161", "164", "168", "171", "175", "178", "182", "185", "188", "757", "760", "764", "767", "771", "774", "777", "781", "784", "788", "791", "795", "798", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many pillows are on the sofa?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role"...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0049_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 7, 28, 29, 33, 34, 35, 47, 48, 54, 55, 56 ], "style": "rule" }
{ "answer": [ 5, 6, 7, 28, 29, 33, 34, 35, 47, 48, 54, 55, 56 ], "index": 65, "question": "How many pillows are on the sofa?", "split": "train", "video_repo_path": "videos/scene0049_00.mp4" }
train-scene0556-34
scene0556_00
[ "922", "927", "931", "936", "941", "945", "950", "955", "959", "964", "969", "973", "978", "983", "987", "992", "997", "1001", "1006", "1011", "1015", "1020", "1025", "1029", "1034", "1039", "1043", "1048", "1053", "1057", "1062", "1067", "1071", "10...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the compost bin on the desk?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0556_00.mp4" } ]
vqa
{ "ground_truth": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 53, 54, 55 ], "style": "rule" }
{ "answer": [ 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 53, 54, 55 ], "index": 66, "question": "What color is the compost bin on the desk?", "split": "train", "video_repo_path": "videos/scene0556_00.mp4" }
train-scene0340-100
scene0340_00
[ "23", "26", "29", "32", "35", "39", "42", "45", "48", "51", "55", "58", "61", "64", "68", "71", "74", "77", "80", "84", "87", "90", "93", "96", "100", "103", "106", "109", "113", "116", "119", "122", "125", "129", "132", "135", "138", "142", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the curtain on the window?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0340_00.mp4" } ]
vqa
{ "ground_truth": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 62, 63 ], "style": "rule" }
{ "answer": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 62, 63 ], "index": 67, "question": "What color is the curtain on the window?", "split": "train", "video_repo_path": "vi...
train-scene0677-11
scene0677_00
[ "334", "339", "343", "348", "353", "357", "362", "367", "371", "376", "381", "414", "418", "423", "428", "433", "437", "442", "447", "451", "597", "602", "606", "611", "616", "621", "625", "630", "635", "639", "644", "649", "653", "658", "663", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is hanging from the wall nearest the tv?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction."...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0677_00.mp4" } ]
vqa
{ "ground_truth": [ 9, 10, 12, 16, 17, 18, 19, 20, 21, 22 ], "style": "rule" }
{ "answer": [ 9, 10, 12, 16, 17, 18, 19, 20, 21, 22 ], "index": 68, "question": "What is hanging from the wall nearest the tv?", "split": "train", "video_repo_path": "videos/scene0677_00.mp4" }
train-scene0024-132
scene0024_00
[ "1511", "1518", "1525", "1532", "1539", "1545", "1552", "1579", "1586", "1593", "1600", "1607", "1613", "1620", "1627", "1634", "1641", "1647", "1654", "1661", "1668", "1675", "1681", "1688", "1695", "1702", "1709", "1716", "1722", "1729", "1736", "1743"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many chairs are pushed under the table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0024_00.mp4" } ]
vqa
{ "ground_truth": [ 28, 30, 31, 32, 33, 34, 35 ], "style": "rule" }
{ "answer": [ 28, 30, 31, 32, 33, 34, 35 ], "index": 69, "question": "How many chairs are pushed under the table?", "split": "train", "video_repo_path": "videos/scene0024_00.mp4" }
train-scene0174-22
scene0174_00
[ "243", "248", "253", "258", "263", "268", "272", "277", "282", "287", "292", "297", "302", "307", "311", "316", "321", "326", "331", "336", "341", "345", "350", "355", "360", "365", "370", "375", "380", "384", "389", "394", "399", "404", "409", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the desk located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0174_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 8, 9, 10, 11, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 ], "style": "rule" }
{ "answer": [ 7, 8, 9, 10, 11, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 31, 32, 33 ], "index": 70, "question": "Where is the desk located?", "split": "train", "video_repo_path": "videos/scene0174_00.mp4" }
train-scene0290-8
scene0290_00
[ "161", "166", "171", "175", "180", "185", "190", "195", "200", "205", "209", "214", "219", "224", "229", "234", "239", "244", "248", "784", "789", "794", "799", "804", "809", "814", "818", "823", "828", "833", "838", "843", "848", "853", "857", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the second door from the left?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.",...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0290_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 21, 22, 34, 35, 36, 37, 38, 46, 48, 49, 50, 51, 52 ], "style": "rule" }
{ "answer": [ 5, 6, 21, 22, 34, 35, 36, 37, 38, 46, 48, 49, 50, 51, 52 ], "index": 71, "question": "What color is the second door from the left?", "split": "train", "video_repo_path": "videos/scene0290_00.mp4" }
train-scene0269-10
scene0269_00
[ "0", "3", "6", "8", "11", "14", "17", "19", "22", "25", "28", "30", "33", "36", "39", "41", "44", "47", "50", "52", "55", "58", "61", "64", "66", "69", "72", "75", "77", "80", "83", "86", "88", "91", "94", "97", "99", "102", "105", "108",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: To the left of the couch is what?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role"...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0269_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46 ], "index": 72, "question": "To the l...
train-scene0119-8
scene0119_00
[ "515", "517", "519", "521", "522", "524", "526", "528", "530", "532", "534", "535", "537", "539", "541", "543", "545", "547", "549", "550", "552", "554", "556", "558", "560", "562", "563", "565", "567", "569", "578", "580", "582", "584", "586", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is next to the multicolored towel?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0119_00.mp4" } ]
vqa
{ "ground_truth": [ 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60 ], "style": "rule" }
{ "answer": [ 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60 ], "index": 73, "question": "What is next to the multicolored towel?", "split": "train", "video_repo_path": "vi...
train-scene0336-102
scene0336_00
[ "741", "744", "880", "903", "906", "909", "913", "916", "919", "923", "926", "929", "932", "936", "939", "942", "946", "949", "952", "956", "959", "962", "966", "969", "972", "975", "979", "982", "985", "989", "992", "995", "999", "1002", "1005", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the chair next to two shelves and a trash can?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for t...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0336_00.mp4" } ]
vqa
{ "ground_truth": [ 35, 36, 37, 38, 39, 42, 62 ], "style": "rule" }
{ "answer": [ 35, 36, 37, 38, 39, 42, 62 ], "index": 74, "question": "What color is the chair next to two shelves and a trash can?", "split": "train", "video_repo_path": "videos/scene0336_00.mp4" }
train-scene0688-1
scene0688_00
[ "166", "168", "171", "173", "176", "178", "181", "184", "186", "189", "191", "194", "196", "199", "201", "204", "206", "209", "212", "214", "217", "219", "222", "224", "227", "229", "232", "235", "237", "240", "242", "245", "247", "250", "252", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is sitting on the right side of the bed next to the drapes?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format f...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0688_00.mp4" } ]
vqa
{ "ground_truth": [ 9, 10, 11, 12, 13, 14, 15, 16, 48, 49, 54, 55, 56, 57, 58, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 9, 10, 11, 12, 13, 14, 15, 16, 48, 49, 54, 55, 56, 57, 58, 61, 62, 63 ], "index": 75, "question": "What is sitting on the right side of the bed next to the drapes?", "split": "train", "video_repo_path": "videos/scene0688_0...
train-scene0276-85
scene0276_00
[ "229", "233", "238", "242", "246", "250", "255", "259", "263", "267", "272", "276", "280", "284", "289", "293", "297", "301", "306", "310", "586", "590", "594", "598", "603", "607", "611", "615", "620", "624", "628", "632", "637", "641", "645", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is next to the bed?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user" ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0276_00.mp4" } ]
vqa
{ "ground_truth": [ 7, 8, 9, 18, 19, 20, 21 ], "style": "rule" }
{ "answer": [ 7, 8, 9, 18, 19, 20, 21 ], "index": 76, "question": "What is next to the bed?", "split": "train", "video_repo_path": "videos/scene0276_00.mp4" }
train-scene0484-10
scene0484_00
[ "71", "73", "75", "77", "79", "81", "83", "85", "87", "89", "91", "92", "179", "181", "183", "185", "187", "189", "191", "193", "195", "196", "198", "200", "202", "204", "206", "208", "210", "212", "214", "216", "218", "220", "221", "223", "225...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What does the chair set behind?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0484_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "style": "rule" }
{ "answer": [ 5, 6, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41 ], "index": 77, "question": "What does the chair set behind?", "split": "train", "video_r...
train-scene0675-46
scene0675_00
[ "0", "2", "3", "5", "7", "8", "10", "12", "14", "15", "17", "19", "20", "22", "24", "25", "27", "29", "31", "32", "34", "36", "37", "39", "41", "42", "44", "46", "48", "49", "51", "53", "54", "56", "58", "59", "61", "63", "65", "66", "6...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many blue recycling bins are on the floor?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction....
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0675_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 21, 22, 23, 24, 25, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 21, 22, 23, 24, 25, 61, 62, 63 ], "index": 78, "question": "How many blue recycling bins are on the floor?", "split": "train", "video_repo_path": "videos/scene0675_00.mp4" }
train-scene0642-48
scene0642_00
[ "556", "565", "573", "581", "590", "598", "607", "615", "624", "632", "640", "733", "742", "750", "758", "767", "775", "784", "809", "817", "826", "834", "843", "851", "860", "868", "876", "885", "893", "902", "910", "919", "927", "935", "944", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: On what side of the leftmost bed is the lamp located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time dep...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0642_00.mp4" } ]
vqa
{ "ground_truth": [ 9, 11, 13, 14, 15, 16, 17, 18, 19, 20 ], "style": "rule" }
{ "answer": [ 9, 11, 13, 14, 15, 16, 17, 18, 19, 20 ], "index": 79, "question": "On what side of the leftmost bed is the lamp located?", "split": "train", "video_repo_path": "videos/scene0642_00.mp4" }
train-scene0195-0
scene0195_00
[ "64", "67", "71", "74", "80", "84", "87", "90", "93", "96", "100", "103", "106", "109", "112", "116", "119", "122", "125", "128", "132", "135", "138", "141", "145", "148", "151", "154", "157", "161", "164", "167", "170", "173", "177", "180", "1...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of towel is to the left of another towel?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depic...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0195_00.mp4" } ]
vqa
{ "ground_truth": [ 4, 5, 6, 7, 8, 9, 10, 44, 45, 46, 47, 48, 49, 50, 51 ], "style": "rule" }
{ "answer": [ 4, 5, 6, 7, 8, 9, 10, 44, 45, 46, 47, 48, 49, 50, 51 ], "index": 80, "question": "What type of towel is to the left of another towel?", "split": "train", "video_repo_path": "videos/scene0195_00.mp4" }
train-scene0480-28
scene0480_00
[ "0", "2", "4", "6", "7", "9", "11", "13", "15", "17", "19", "21", "22", "24", "26", "28", "30", "32", "34", "36", "37", "39", "41", "43", "45", "47", "49", "51", "52", "54", "56", "58", "60", "62", "64", "66", "67", "69", "71", "73", "7...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of curtain is next to a dark rectangular cabinet?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for ti...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0480_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 62, 63 ], "index": 81, "question": "What type of curtain is ...
train-scene0594-45
scene0594_00
[ "0", "2", "3", "5", "6", "8", "9", "11", "12", "14", "15", "17", "18", "20", "22", "23", "25", "26", "28", "29", "31", "32", "34", "35", "37", "38", "40", "42", "43", "45", "46", "48", "49", "51", "52", "54", "55", "57", "58", "60", "62...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: The window is to the left of what?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0594_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 33, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 33, 41, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58 ], "index": 82, "question": "The window is to the left of wha...
train-scene0537-33
scene0537_00
[ "0", "2", "5", "7", "9", "12", "14", "16", "19", "21", "393", "395", "397", "399", "402", "404", "406", "409", "411", "413", "416", "418", "420", "423", "425", "427", "430", "432", "434", "437", "439", "448", "451", "453", "455", "458", "460", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: How many chairs are under the dining table?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0537_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 22, 23, 25, 26, 27, 29, 30, 31, 32, 40 ], "style": "rule" }
{ "answer": [ 0, 1, 22, 23, 25, 26, 27, 29, 30, 31, 32, 40 ], "index": 83, "question": "How many chairs are under the dining table?", "split": "train", "video_repo_path": "videos/scene0537_00.mp4" }
train-scene0324-25
scene0324_00
[ "42", "44", "47", "49", "52", "54", "57", "59", "62", "64", "66", "69", "71", "74", "76", "79", "81", "84", "86", "89", "91", "94", "96", "98", "101", "103", "106", "108", "111", "113", "116", "118", "121", "123", "126", "399", "401", "404", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is next to the picture on the left?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0324_00.mp4" } ]
vqa
{ "ground_truth": [ 3, 4, 5, 6, 21, 22, 23, 24, 40, 41, 42 ], "style": "rule" }
{ "answer": [ 3, 4, 5, 6, 21, 22, 23, 24, 40, 41, 42 ], "index": 84, "question": "What is next to the picture on the left?", "split": "train", "video_repo_path": "videos/scene0324_00.mp4" }
train-scene0170-5
scene0170_00
[ "0", "2", "4", "6", "8", "10", "12", "14", "16", "18", "20", "22", "24", "26", "28", "30", "32", "34", "37", "39", "41", "43", "45", "47", "49", "51", "53", "55", "57", "59", "61", "63", "65", "67", "69", "71", "73", "75", "77", "79", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of sink is to the right of the toilet?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depictio...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0170_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 59, 60, 61, 62, 63 ], "index": 85, "question": "What type of sink is to the right of the toilet?", "split": "train", "video_repo_pat...
train-scene0538-19
scene0538_00
[ "233", "240", "247", "254", "262", "269", "276", "283", "290", "297", "304", "311", "318", "332", "339", "346", "459", "466", "474", "608", "615", "622", "629", "636", "643", "650", "657", "664", "671", "679", "686", "693", "700", "707", "714", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is one of the two trash cans on the floor by the vanity?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0538_00.mp4" } ]
vqa
{ "ground_truth": [ 5, 6, 11, 12, 13, 14, 15, 16, 42, 43 ], "style": "rule" }
{ "answer": [ 5, 6, 11, 12, 13, 14, 15, 16, 42, 43 ], "index": 86, "question": "What is one of the two trash cans on the floor by the vanity?", "split": "train", "video_repo_path": "videos/scene0538_00.mp4" }
train-scene0034-47
scene0034_00
[ "457", "459", "461", "462", "464", "466", "468", "469", "471", "473", "475", "476", "478", "480", "482", "483", "485", "487", "489", "490", "492", "494", "496", "497", "499", "501", "503", "504", "506", "508", "510", "511", "513", "515", "517", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color towel is above the green towel in the bathroom?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for tim...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0034_00.mp4" } ]
vqa
{ "ground_truth": [ 33, 34, 35, 36, 37, 44, 45, 46 ], "style": "rule" }
{ "answer": [ 33, 34, 35, 36, 37, 44, 45, 46 ], "index": 87, "question": "What color towel is above the green towel in the bathroom?", "split": "train", "video_repo_path": "videos/scene0034_00.mp4" }
train-scene0657-47
scene0657_00
[ "0", "3", "5", "8", "10", "13", "15", "18", "20", "23", "25", "28", "30", "33", "35", "38", "40", "43", "46", "48", "51", "53", "56", "58", "61", "63", "66", "68", "71", "73", "76", "78", "81", "83", "86", "89", "91", "94", "96", "99", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of object is used for sitting in?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0657_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 29, 30, 31, 34, 35, 36, 39, 40 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 29, 30, 31, 34, 35, 36, 39, 40 ], "index": 88, "question": "What type of object is used for sitting in?", "split": "train"...
train-scene0640-92
scene0640_00
[ "442", "448", "453", "459", "465", "471", "477", "483", "488", "494", "500", "506", "512", "517", "523", "529", "535", "541", "546", "552", "564", "1302", "1308", "1314", "1320", "1326", "1331", "1337", "1343", "1349", "1355", "1360", "1366", "1372",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: On what side of the chair is the bench located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0640_00.mp4" } ]
vqa
{ "ground_truth": [ 10, 11, 12, 29, 30, 31, 32, 33, 34, 36 ], "style": "rule" }
{ "answer": [ 10, 11, 12, 29, 30, 31, 32, 33, 34, 36 ], "index": 89, "question": "On what side of the chair is the bench located?", "split": "train", "video_repo_path": "videos/scene0640_00.mp4" }
train-scene0478-37
scene0478_00
[ "40", "42", "44", "46", "48", "51", "53", "55", "57", "59", "61", "63", "65", "67", "70", "72", "74", "76", "78", "80", "82", "84", "86", "88", "91", "93", "95", "97", "99", "101", "103", "105", "107", "110", "112", "114", "116", "118", "12...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the recycling bin on the floor?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction."...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0478_00.mp4" } ]
vqa
{ "ground_truth": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 55, 56, 57, 58, 59, 60 ], "style": "rule" }
{ "answer": [ 3, 4, 5, 6, 7, 8, 9, 10, 11, 55, 56, 57, 58, 59, 60 ], "index": 90, "question": "What color is the recycling bin on the floor?", "split": "train", "video_repo_path": "videos/scene0478_00.mp4" }
train-scene0372-116
scene0372_00
[ "0", "5", "11", "16", "21", "53", "684", "689", "694", "700", "705", "710", "716", "721", "726", "731", "737", "742", "747", "753", "758", "763", "769", "774", "779", "784", "790", "795", "800", "806", "811", "816", "822", "827", "832", "837", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is beside the chair with a bag on it?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0372_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 50, 51, 52, 53, 54 ], "style": "rule" }
{ "answer": [ 0, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 50, 51, 52, 53, 54 ], "index": 91, "question": "What is beside the chair with a bag on it?", "split": "train", "video_repo_path": "videos/scene0372_00.mp4" }
train-scene0026-30
scene0026_00
[ "1467", "1499", "1504", "1509", "1515", "1520", "1526", "1531", "1536", "1542", "1547", "1552", "1558", "1563", "1568", "1574", "1579", "1584", "1590", "1595", "1600", "1606", "1611", "1617", "1622", "1627", "1633", "1638", "1643", "1649", "1654", "1659"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: The white oval sink is located in a bathroom against a wall next to what?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff'...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0026_00.mp4" } ]
vqa
{ "ground_truth": [ 36, 37, 38, 39, 40, 41, 42, 43 ], "style": "rule" }
{ "answer": [ 36, 37, 38, 39, 40, 41, 42, 43 ], "index": 92, "question": "The white oval sink is located in a bathroom against a wall next to what?", "split": "train", "video_repo_path": "videos/scene0026_00.mp4" }
train-scene0597-14
scene0597_00
[ "237", "240", "242", "245", "248", "251", "254", "257", "259", "262", "265", "268", "271", "274", "276", "279", "282", "285", "288", "290", "293", "296", "299", "302", "305", "307", "310", "313", "316", "319", "321", "324", "327", "330", "333", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What color is the counter in a corner of a room against a blue wall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' form...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0597_00.mp4" } ]
vqa
{ "ground_truth": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "style": "rule" }
{ "answer": [ 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37 ], "index": 93, "question": "What color is the counter in a corner of a room agains...
train-scene0281-22
scene0281_00
[ "0", "4", "7", "11", "15", "18", "22", "26", "30", "33", "37", "41", "44", "48", "52", "55", "59", "63", "67", "70", "74", "78", "81", "85", "89", "92", "96", "100", "104", "107", "111", "115", "1128", "1132", "1136", "1139", "1143", "1147", ...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the light green seat sitting?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0281_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 ], "index": 94, "question": "Where is the light green seat sitting?", "split": "train", "video_repo_path": "videos/scene0281_00.mp4" }
train-scene0134-8
scene0134_00
[ "0", "2", "4", "6", "8", "10", "12", "14", "16", "18", "20", "22", "24", "25", "27", "29", "31", "90", "92", "94", "96", "98", "100", "102", "104", "106", "108", "110", "145", "147", "149", "151", "153", "155", "157", "159", "161", "163", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the beige wooden table placed?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0134_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 6, 7, 10, 11, 12, 13, 14, 15, 31, 32, 33, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 6, 7, 10, 11, 12, 13, 14, 15, 31, 32, 33, 60, 61, 62, 63 ], "index": 95, "question": "Where is the beige wooden table placed?", "split": "train", "video_repo_path": "videos/scene0134_00.mp4" }
train-scene0434-29
scene0434_00
[ "0", "4", "7", "11", "15", "18", "22", "25", "29", "33", "36", "40", "44", "47", "51", "55", "58", "62", "65", "69", "73", "76", "80", "84", "87", "91", "95", "98", "102", "105", "109", "113", "116", "120", "124", "127", "131", "135", "138"...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What type of toilet is next to the bathtub?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0434_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 56, 57, 58, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 56, 57, 58, 59, 60, 61, 62, 63 ], "index": 96, "question": "What type of toilet is next to t...
train-scene0029-66
scene0029_00
[ "771", "775", "779", "782", "786", "790", "794", "798", "802", "805", "809", "813", "817", "821", "825", "829", "832", "836", "840", "844", "848", "852", "855", "859", "863", "867", "871", "875", "878", "882", "886", "890", "894", "898", "901", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the door located?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", "role": "user...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0029_00.mp4" } ]
vqa
{ "ground_truth": [ 26, 27, 28, 29, 31, 32, 33 ], "style": "rule" }
{ "answer": [ 26, 27, 28, 29, 31, 32, 33 ], "index": 97, "question": "Where is the door located?", "split": "train", "video_repo_path": "videos/scene0029_00.mp4" }
train-scene0499-59
scene0499_00
[ "166", "177", "188", "199", "883", "894", "905", "916", "927", "938", "949", "960", "971", "982", "993", "1302", "1313", "1324", "1335", "1346", "1357", "1368", "1380", "1391", "1402", "1413", "1424", "1435", "1446", "1457", "1468", "1479", "1490", "...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: What is the object in the room that is to the right up against the wall?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0499_00.mp4" } ]
vqa
{ "ground_truth": [ 2, 11, 15, 16, 17, 18, 19, 20, 21, 22, 27, 28, 29, 30, 55, 57 ], "style": "rule" }
{ "answer": [ 2, 11, 15, 16, 17, 18, 19, 20, 21, 22, 27, 28, 29, 30, 55, 57 ], "index": 98, "question": "What is the object in the room that is to the right up against the wall?", "split": "train", "video_repo_path": "videos/scene0499_00.mp4" }
train-scene0601-50
scene0601_00
[ "0", "3", "7", "10", "13", "16", "20", "23", "26", "30", "33", "36", "39", "43", "46", "49", "53", "56", "59", "63", "66", "69", "72", "76", "79", "82", "86", "89", "92", "1491", "1494", "1497", "1501", "1504", "1507", "1510", "1514", "1517",...
scanqa
[ { "content": "<video>Localize a series of scenes in the video that are relevant to the question: Where is the chair closest to the door?, output the start and end timestamp for each scene, and describe each scene with sentences. Provide the result in json format with 'mm:ss.ff' format for time depiction.", ...
[ { "fps": 1, "max_frames": 64, "max_pixels": 151200, "min_frames": 64, "video": "hf://datasets/GumJump/scanqa_video_64_frames_1_fps_360x420_4500_500/videos/scene0601_00.mp4" } ]
vqa
{ "ground_truth": [ 0, 1, 2, 3, 58, 59, 60, 61, 62, 63 ], "style": "rule" }
{ "answer": [ 0, 1, 2, 3, 58, 59, 60, 61, 62, 63 ], "index": 99, "question": "Where is the chair closest to the door?", "split": "train", "video_repo_path": "videos/scene0601_00.mp4" }
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