{
 "id": "Facebear/XVLA-Soft-Fold",
 "owner": "Facebear",
 "name": "XVLA-Soft-Fold",
 "downloads": 29823,
 "likes": 13,
 "last_modified": "2025-11-03T11:54:03.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "robotics"
 ],
 "citation": "@article{zheng2025x,\n  title={X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model},\n  author={Zheng, Jinliang and Li, Jianxiong and Wang, Zhihao and Liu, Dongxiu and Kang, Xirui and Feng, Yuchun and Zheng, Yinan and Zou, Jiayin and Chen, Yilun and Zeng, Jia and others},\n  journal={arXiv preprint arXiv:2510.10274},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "28d58d4ef4ca055f0012ac15ef1ee31c8a22db10",
 "stated_evidence": "https://huggingface.co/datasets/Facebear/XVLA-Soft-Fold/blob/28d58d4ef4ca055f0012ac15ef1ee31c8a22db10/README.md",
 "file_evidence": "https://huggingface.co/datasets/Facebear/XVLA-Soft-Fold/tree/28d58d4ef4ca055f0012ac15ef1ee31c8a22db10",
 "card_nc": false
}