{
 "id": "SEACrowd/tydiqa",
 "owner": "SEACrowd",
 "name": "tydiqa",
 "downloads": 82,
 "likes": 1,
 "last_modified": "2024-06-24T13:27:47.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "If you are using the **Tydiqa** dataloader in your work, please cite the following:\n```\n\\\n@article{clark-etal-2020-tydi,\n    title = \"{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages\",\n    author = \"Clark, Jonathan H.  and\n      Choi, Eunsol  and\n      Collins, Michael  and\n      Garrette, Dan  and\n      Kwiatkowski, Tom  and\n      Nikolaev, Vitaly  and\n      Palomaki, Jennimaria\",\n    editor = \"Johnson, Mark  and\n      Roark, Brian  and\n      Nenkova, Ani\",\n    journal = \"Transactions of the Association for Computational Linguistics\",\n    volume = \"8\",\n    year = \"2020\",\n    address = \"Cambridge, MA\",\n    publisher = \"MIT Press\",\n    url = \"https://aclanthology.org/2020.tacl-1.30\",\n    doi = \"10.1162/tacl_a_00317\",\n    pages = \"454--470\",\n    abstract = \"Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations.\n    We present TyDi QA{---}a question answering dataset covering 11 typologically diverse languages with 204K\n    question-answer pairs. The languages of TyDi QA are diverse with regard to their typology{---}the set of\n    linguistic features each language expresses{---}such that we expect models performing well on this set to\n    generalize across a large number of the world{'}s languages. We present a quantitative analysis of the data\n    quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found\n    in English-only ",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "57c2ee5ac344636e6601c007478ef8edd8bde047",
 "stated_evidence": "https://huggingface.co/datasets/SEACrowd/tydiqa/blob/57c2ee5ac344636e6601c007478ef8edd8bde047/README.md",
 "file_evidence": "https://huggingface.co/datasets/SEACrowd/tydiqa/blob/57c2ee5ac344636e6601c007478ef8edd8bde047/LICENSE",
 "card_nc": false
}