{
 "id": "OpenCausaLab/LINA-PAP",
 "owner": "OpenCausaLab",
 "name": "LINA-PAP",
 "downloads": 89,
 "likes": 0,
 "last_modified": "2025-12-17T11:38:04.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-to-image",
  "image-segmentation",
  "image-to-text"
 ],
 "citation": "@article{yu2025lina,\n  title={LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models},\n  author={Shu Yu and Chaochao Lu},\n  year={2025},\n  journal={arXiv preprint arXiv:2512.13290},\n  url={https://arxiv.org/abs/2512.13290},\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "a1bc108dd3e6716f0f899886ed5d71382808956c",
 "stated_evidence": "https://huggingface.co/datasets/OpenCausaLab/LINA-PAP/blob/a1bc108dd3e6716f0f899886ed5d71382808956c/README.md",
 "file_evidence": "https://huggingface.co/datasets/OpenCausaLab/LINA-PAP/tree/a1bc108dd3e6716f0f899886ed5d71382808956c",
 "card_nc": false
}