{
 "id": "MCG-NJU/SportsAction",
 "owner": "MCG-NJU",
 "name": "SportsAction",
 "downloads": 561,
 "likes": 48,
 "last_modified": "2022-12-13T07:47:16.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "image-classification",
  "object-detection",
  "other"
 ],
 "citation": "If you find this dataset useful, please cite as\n\n```\n@InProceedings{Li_2021_ICCV,\n    author    = {Li, Yixuan and Chen, Lei and He, Runyu and Wang, Zhenzhi and Wu, Gangshan and Wang, Limin},\n    title     = {MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions},\n    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n    month     = {October},\n    year      = {2021},\n    pages     = {13536-13545}\n}\n```",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "01600ce7eabbf42a5ee7c82b82f49a11597b3a5f",
 "stated_evidence": "https://huggingface.co/datasets/MCG-NJU/SportsAction/blob/01600ce7eabbf42a5ee7c82b82f49a11597b3a5f/README.md",
 "file_evidence": "https://huggingface.co/datasets/MCG-NJU/SportsAction/tree/01600ce7eabbf42a5ee7c82b82f49a11597b3a5f",
 "card_nc": false
}