{
 "id": "iNLP-Lab/multilingual-safety",
 "owner": "iNLP-Lab",
 "name": "multilingual-safety",
 "downloads": 127,
 "likes": 0,
 "last_modified": "2026-05-14T07:46:03.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation"
 ],
 "citation": "@inproceedings{bianchi2024safetytuned,\n  title     = {Safety-Tuned {LL}a{MA}s: Lessons From Improving the Safety of Large Language Models that Follow Instructions},\n  author    = {Bianchi, Federico and Suzgun, Mirac and Attanasio, Giuseppe and R{\\\"o}ttger, Paul and Jurafsky, Dan and Hashimoto, Tatsunori and Zou, James},\n  booktitle = {International Conference on Learning Representations (ICLR)},\n  year      = {2024}\n}",
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 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "7b6884a1bb014080c42ab8b0b65bc0bfc9066041",
 "stated_evidence": "https://huggingface.co/datasets/iNLP-Lab/multilingual-safety/blob/7b6884a1bb014080c42ab8b0b65bc0bfc9066041/README.md",
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}