{
 "id": "yonful/gem-analysis-humanml3d",
 "owner": "yonful",
 "name": "gem-analysis-humanml3d",
 "downloads": 61,
 "likes": 0,
 "last_modified": "2026-03-13T10:37:06.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "time-series-classification"
 ],
 "citation": "@inproceedings{guo2022generating,\n  title={Generating diverse and natural 3d human motions from text},\n  author={Guo, Chuan and Zou, Shihao and Zuo, Xinxin and Wang, Sen and Ji, Wei and Li, Xingyu and Cheng, Li},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n  pages={5152--5161},\n  year={2022}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "d46aa67d54dac3503f61717edbf666477c147762",
 "stated_evidence": "https://huggingface.co/datasets/yonful/gem-analysis-humanml3d/blob/d46aa67d54dac3503f61717edbf666477c147762/README.md",
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}