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SEACrowd/tydiqa

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Permissive or share-alike

The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at 57c2ee5
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at 57c2ee5
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

question-answering

Citation text from the card

If you are using the **Tydiqa** dataloader in your work, please cite the following:
```
\
@article{clark-etal-2020-tydi,
    title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages",
    author = "Clark, Jonathan H.  and
      Choi, Eunsol  and
      Collins, Michael  and
      Garrette, Dan  and
      Kwiatkowski, Tom  and
      Nikolaev, Vitaly  and
      Palomaki, Jennimaria",
    editor = "Johnson, Mark  and
      Roark, Brian  and
      Nenkova, Ani",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "8",
    year = "2020",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://aclanthology.org/2020.tacl-1.30",
    doi = "10.1162/tacl_a_00317",
    pages = "454--470",
    abstract = "Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations.
    We present TyDi QA{---}a question answering dataset covering 11 typologically diverse languages with 204K
    question-answer pairs. The languages of TyDi QA are diverse with regard to their typology{---}the set of
    linguistic features each language expresses{---}such that we expect models performing well on this set to
    generalize across a large number of the world{'}s languages. We present a quantitative analysis of the data
    quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found
    in English-only

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dataset_licence({ "id": "SEACrowd/tydiqa" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0