{
 "id": "ccccby/MATE-3D",
 "owner": "ccccby",
 "name": "MATE-3D",
 "downloads": 266,
 "likes": 2,
 "last_modified": "2025-08-01T06:18:19.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-to-3d"
 ],
 "citation": "This dataset is based on the text-to-3D generative framework, which utilizes various open-source repositories for textured mesh generation evaluation. If you find this dataset helpful, please consider citing the original work:\n\n```bash\n@article{zhang2024benchmarking,\n  title={Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation},\n  author={Yujie Zhang, Bingyang Cui, Qi Yang, Zhu Li, and Yiling Xu},\n  journal={arXiv preprint arXiv:2412.11170},\n  year={2024}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "69ed0ebb1a5a4dcd794654dacc604ed4156b3b51",
 "stated_evidence": "https://huggingface.co/datasets/ccccby/MATE-3D/blob/69ed0ebb1a5a4dcd794654dacc604ed4156b3b51/README.md",
 "file_evidence": "https://huggingface.co/datasets/ccccby/MATE-3D/tree/69ed0ebb1a5a4dcd794654dacc604ed4156b3b51",
 "card_nc": false
}