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