{
 "id": "hhyhrhy/MM-ACT-data",
 "owner": "hhyhrhy",
 "name": "MM-ACT-data",
 "downloads": 1171,
 "likes": 1,
 "last_modified": "2026-01-12T06:08:12.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "robotics"
 ],
 "citation": "@article{liang2025mm,\n  title={MM-ACT: Learn from Multimodal Parallel Generation to Act},\n  author={Liang, Haotian and Chen, Xinyi and Wang, Bin and Chen, Mingkang and Liu, Yitian and Zhang, Yuhao and Chen, Zanxin and Yang, Tianshuo and Chen, Yilun and Pang, Jiangmiao and others},\n  journal={arXiv preprint arXiv:2512.00975},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "0d903db375b6bfb3603c6ce95bbf4d182411e864",
 "stated_evidence": "https://huggingface.co/datasets/hhyhrhy/MM-ACT-data/blob/0d903db375b6bfb3603c6ce95bbf4d182411e864/README.md",
 "file_evidence": "https://huggingface.co/datasets/hhyhrhy/MM-ACT-data/tree/0d903db375b6bfb3603c6ce95bbf4d182411e864",
 "card_nc": false
}