{
 "id": "ritaranx/clinical-synthetic-text-llm",
 "owner": "ritaranx",
 "name": "clinical-synthetic-text-llm",
 "downloads": 1353,
 "likes": 3,
 "last_modified": "2024-07-02T05:38:24.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "token-classification"
 ],
 "citation": "<pre>\n@article{xu2024knowledge,\n  title={Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models},\n  author={Xu, Ran and Cui, Hejie and Yu, Yue and Kan, Xuan and Shi, Wenqi and Zhuang, Yuchen and Jin, Wei and Ho, Joyce and Yang, Carl},\n  journal={Findings of the Association for Computational Linguistics: ACL 2024},\n  year={2024}\n}\n</pre>",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "0d9d4802193ef0571b646f5a36a16b6757f6f24f",
 "stated_evidence": "https://huggingface.co/datasets/ritaranx/clinical-synthetic-text-llm/blob/0d9d4802193ef0571b646f5a36a16b6757f6f24f/README.md",
 "file_evidence": "https://huggingface.co/datasets/ritaranx/clinical-synthetic-text-llm/tree/0d9d4802193ef0571b646f5a36a16b6757f6f24f",
 "card_nc": false
}