{
 "id": "AmazonScience/mintaka",
 "owner": "AmazonScience",
 "name": "mintaka",
 "downloads": 824,
 "likes": 12,
 "last_modified": "2022-10-28T10:55:50.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "Please cite the following papers when using this dataset.\n\n```latex\n@inproceedings{sen-etal-2022-mintaka,\n    title = \"Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering\",\n    author = \"Sen, Priyanka  and\n      Aji, Alham Fikri  and\n      Saffari, Amir\",\n    booktitle = \"Proceedings of the 29th International Conference on Computational Linguistics\",\n    month = oct,\n    year = \"2022\",\n    address = \"Gyeongju, Republic of Korea\",\n    publisher = \"International Committee on Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.coling-1.138\",\n    pages = \"1604--1619\"\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "4788cd2a26eae8a1e6534d87b1bfbad82c3a9dc2",
 "stated_evidence": "https://huggingface.co/datasets/AmazonScience/mintaka/blob/4788cd2a26eae8a1e6534d87b1bfbad82c3a9dc2/README.md",
 "file_evidence": "https://huggingface.co/datasets/AmazonScience/mintaka/tree/4788cd2a26eae8a1e6534d87b1bfbad82c3a9dc2",
 "card_nc": false
}