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Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering

https://github.com/amazon-science/mintaka

We only took entity-type answers and avoided answers that were only numbers or booleans

@inproceedings{sen-etal-2022-mintaka,
    title = "Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering",
    author = "Sen, Priyanka  and
      Aji, Alham Fikri  and
      Saffari, Amir",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.138",
    pages = "1604--1619"
}
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