{
 "id": "darrow-ai/LegalLensNLI",
 "owner": "darrow-ai",
 "name": "LegalLensNLI",
 "downloads": 68,
 "likes": 6,
 "last_modified": "2024-07-08T06:35:09.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "zero-shot-classification",
  "text-classification"
 ],
 "citation": "@inproceedings{bernsohn2024legallens,\n  title={LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text},\n  author={Bernsohn, Dor and Semo, Gil and Vazana, Yaron and Hayat, Gila and Hagag, Ben and Niklaus, Joel and Saha, Rohit and Truskovskyi, Kyryl},\n  booktitle={Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  pages={2129--2145},\n  year={2024}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "b6cb5c1fe3a50d07b08c870879ce320e92347bfd",
 "stated_evidence": "https://huggingface.co/datasets/darrow-ai/LegalLensNLI/blob/b6cb5c1fe3a50d07b08c870879ce320e92347bfd/README.md",
 "file_evidence": "https://huggingface.co/datasets/darrow-ai/LegalLensNLI/tree/b6cb5c1fe3a50d07b08c870879ce320e92347bfd",
 "card_nc": false
}