{
 "id": "kcsb28/Pralekha",
 "owner": "kcsb28",
 "name": "Pralekha",
 "downloads": 198,
 "likes": 1,
 "last_modified": "2026-07-02T05:31:09.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "translation"
 ],
 "citation": "@inproceedings{suryanarayanan-etal-2025-pralekha,\n    title = \"{PRALEKHA}: Cross-Lingual Document Alignment for {I}ndic Languages\",\n    author = \"Suryanarayanan, Sanjay  and Song, Haiyue  and Khan, Mohammed Safi Ur Rahman  and Kunchukuttan, Anoop  and Dabre, Raj\",\n    booktitle = \"Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics\",\n    month = dec,\n    year = \"2025\",\n    address = \"Mumbai, India\",\n    publisher = \"The Asian Federation of Natural Language Processing and The Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.ijcnlp-long.37/\",\n    pages = \"662--676\"\n    }",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "cfa443081e052504b3946236e768a67dd9e2528d",
 "stated_evidence": "https://huggingface.co/datasets/kcsb28/Pralekha/blob/cfa443081e052504b3946236e768a67dd9e2528d/README.md",
 "file_evidence": "https://huggingface.co/datasets/kcsb28/Pralekha/tree/cfa443081e052504b3946236e768a67dd9e2528d",
 "card_nc": false
}