{
 "id": "sojuL/RubricHub_v1",
 "owner": "sojuL",
 "name": "RubricHub_v1",
 "downloads": 1019,
 "likes": 282,
 "last_modified": "2026-02-03T03:09:05.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "reinforcement-learning",
  "question-answering"
 ],
 "citation": "If you use this dataset, please cite:\n\n```bibtex\n@article{li2026rubrichub,\n  title={RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation},\n  author={Li, Sunzhu and Zhao, Jiale and Wei, Miteto and Ren, Huimin and Zhou, Yang and Yang, Jingwen and Liu, Shunyu and Zhang, Kaike and Chen, Wei},\n  journal={arXiv preprint arXiv:2601.08430},\n  year={2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "3837d55971473a872e84879c88f708b8da3ec2ef",
 "stated_evidence": "https://huggingface.co/datasets/sojuL/RubricHub_v1/blob/3837d55971473a872e84879c88f708b8da3ec2ef/README.md",
 "file_evidence": "https://huggingface.co/datasets/sojuL/RubricHub_v1/tree/3837d55971473a872e84879c88f708b8da3ec2ef",
 "card_nc": false
}