{
 "id": "yyu/reddit-attrprompt",
 "owner": "yyu",
 "name": "reddit-attrprompt",
 "downloads": 480,
 "likes": 0,
 "last_modified": "2023-09-13T20:56:10.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@article{geigle:2021:arxiv,\n  author    = {Gregor Geigle and \n                Nils Reimers and \n                Andreas R{\\\"u}ckl{\\'e} and\n                Iryna Gurevych},\n  title     = {TWEAC: Transformer with Extendable QA Agent Classifiers},\n  journal   = {arXiv preprint},\n  volume    = {abs/2104.07081},\n  year      = {2021},\n  url       = {http://arxiv.org/abs/2104.07081},\n  archivePrefix = {arXiv},\n  eprint    = {2104.07081}\n}\n\n@article{yu2023large,\n  title={Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias},\n  author={Yu, Yue and Zhuang, Yuchen and Zhang, Jieyu and Meng, Yu and Ratner, Alexander and Krishna, Ranjay and Shen, Jiaming and Zhang, Chao},\n  journal={arXiv preprint arXiv:2306.15895},\n  year={2023}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "723698f154a23aec7155f840351405b0a8e7fd1f",
 "stated_evidence": "https://huggingface.co/datasets/yyu/reddit-attrprompt/blob/723698f154a23aec7155f840351405b0a8e7fd1f/README.md",
 "file_evidence": "https://huggingface.co/datasets/yyu/reddit-attrprompt/tree/723698f154a23aec7155f840351405b0a8e7fd1f",
 "card_nc": false
}