{
 "id": "ZQFive/StoryVideoQA",
 "owner": "ZQFive",
 "name": "StoryVideoQA",
 "downloads": 484,
 "likes": 1,
 "last_modified": "2026-06-05T16:22:56.000Z",
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 "licence_name": null,
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 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "video-text-to-text"
 ],
 "citation": "@Article{StoryVideoQA2026,\n    author={Wu, Zhengqian and Liu, Zhixian and Chen, Aodong and Zhang, Jingyang and Li, Ruizhe and Ge, Hanlin and Wang, Zhongyuan and Xiao, Chunxia and Liang, Chao},\n    title={StoryVideoQA: Scaling Deep Video Understanding with a Large-Scale, Multi-Genre and Auto-Generated Dataset},\n    journal={International Journal of Computer Vision},\n    year={2026},\n    month={Jun},\n    day={04},\n    volume={134},\n    number={6},\n    pages={308},\n}\n\n@article{FriendsQA2025, \n    title={FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos}, \n    volume={39}, \n    url={https://ojs.aaai.org/index.php/AAAI/article/view/32920}, \n    DOI={10.1609/aaai.v39i8.32920}, \n    number={8}, \n    journal={Proceedings of the AAAI Conference on Artificial Intelligence}, \n    author={Wu, Zhengqian and Li, Ruizhe and Xu, Zijun and Wang, Zhongyuan and Xiao, Chunxia and Liang, Chao}, \n    year={2025}, \n    month={Apr.}, \n    pages={8523-8531} \n}",
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 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "40e82bd3a73a000a44c39240486ee6134f8bc29c",
 "stated_evidence": "https://huggingface.co/datasets/ZQFive/StoryVideoQA/blob/40e82bd3a73a000a44c39240486ee6134f8bc29c/README.md",
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}