{
 "id": "InternScience/SGI-IdeaGeneration",
 "owner": "InternScience",
 "name": "SGI-IdeaGeneration",
 "downloads": 75,
 "likes": 4,
 "last_modified": "2026-06-02T12:02:31.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "question-answering",
  "text-generation"
 ],
 "citation": "If you would like to cite our work, please use the following BibTeX.\n\n```bib\n@article{xu2025probing,\n  title={Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows},\n  author={Xu, Wanghan and Zhou, Yuhao and Zhou, Yifan and Cao, Qinglong and Li, Shuo and Bu, Jia and Liu, Bo and Chen, Yixin and He, Xuming and Zhao, Xiangyu and others},\n  journal={arXiv preprint arXiv:2512.16969},\n  year={2025}\n}\n```\n\n---",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "534e3c110780144c099dad08df95453ec0c9ca6f",
 "stated_evidence": "https://huggingface.co/datasets/InternScience/SGI-IdeaGeneration/blob/534e3c110780144c099dad08df95453ec0c9ca6f/README.md",
 "file_evidence": "https://huggingface.co/datasets/InternScience/SGI-IdeaGeneration/tree/534e3c110780144c099dad08df95453ec0c9ca6f",
 "card_nc": false
}