Upload croissant.json
Browse files- croissant.json +104 -0
croissant.json
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{
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"@context": "https://w3id.org/croissant/context.jsonld",
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"@type": "Dataset",
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"name": "MomentSeeker",
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"description": "A large-scale multi-modal benchmark for long video moment retrieval.",
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"license": "https://huggingface.co/datasets/avery00/MomentSeeker/blob/main/LICENSE",
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"creator": [
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{
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"name": "Huaying Yuan, Jian Ni"
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}
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],
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"distribution": [
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/videos.tar.gz.part_aa",
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"encodingFormat": "application/gzip"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/videos.tar.gz.part_ab",
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"encodingFormat": "application/gzip"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/videos.tar.gz.part_ac",
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"encodingFormat": "application/gzip"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/query_images.tar.gz",
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"encodingFormat": "application/gzip"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/query_videos.tar.gz",
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"encodingFormat": "application/gzip"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/t2v.json",
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"encodingFormat": "application/json"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/ti2v.json",
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"encodingFormat": "application/json"
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},
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{
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"contentUrl": "https://huggingface.co/datasets/avery00/MomentSeeker/resolve/main/tv2v.json",
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"encodingFormat": "application/json"
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}
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],
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"field": [
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{
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"name": "qry_text",
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"description": "The textual query describing what to look for in the video.",
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"dataType": "string"
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},
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{
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"name": "qry_img_path",
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"description": "Path to the query image, if applicable.",
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"dataType": "string"
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},
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{
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"name": "qry_video_path",
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"description": "Path to the query video, if applicable.",
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"dataType": "string"
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},
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{
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"name": "src_video_path",
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"description": "Path to the source video in which to locate the answer.",
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"dataType": "string"
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},
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{
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"name": "task",
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"description": "Task type such as 'Description Location', 'Action Recognition', or 'Causal Reasoning'.",
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"dataType": "string"
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},
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{
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"name": "answering_time_interval",
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"description": "A list of [start_time, end_time] in seconds specifying the ground truth temporal segment.",
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"dataType": "array"
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}
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],
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"data": [
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{
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"qry_text": "The video shows a man playing a game of Connect Four with a woman, who wins the game.",
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"qry_img_path": "",
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"qry_video_path": "",
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"src_video_path": "./videos/ego_79.mp4",
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"task": "Description Location",
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"answering_time_interval": [[415.0, 480.0]]
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},
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{
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"qry_text": "Did the man and the woman in the picture embrace?",
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"qry_img_path": "./query_images/movie101_77/frame_173.jpg",
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"qry_video_path": "",
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"src_video_path": "./videos/movie101_77.mp4",
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"task": "Action Recognition",
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"answering_time_interval": [[180, 198]]
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},
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{
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"qry_text": "What happened to this window afterward?",
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"qry_img_path": "",
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"qry_video_path": "./query_videos/tomjerry_8/177.00_181.00.mp4",
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"src_video_path": "./videos/tomjerry_8.mp4",
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"task": "Causal Reasoning",
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"answering_time_interval": [[181, 186]]
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}
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]
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}
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