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KazQAD:
Kazakh Open-Domain Question Answering Dataset

GitHub stars GitHub issues CC BY-SA 4.0 ISSAI Official Website

KazQAD is a Kazakh open-domain Question Answering Dataset that can be used in both reading comprehension and full ODQA settings, as well as for information retrieval experiments.

Data Sources

The questions come from two sources: translated items from the Natural Questions (NQ) dataset (only for training) and the original Kazakh Unified National Testing (UNT) exam (for development and testing).

Citation 🎓

@misc{kazqad,
      title={KazQAD: Kazakh Open-Domain Question Answering Dataset}, 
      author={Rustem Yeshpanov and Pavel Efimov and Leonid Boytsov and Ardak Shalkarbayuli and Pavel Braslavski},
      year={2024},
      eprint={2404.04487},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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An open-source Kazakh Question Answering Dataset

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