QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension

@article{Rogers2022QADE,
  title={QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension},
  author={Anna Rogers and Matt Gardner and Isabelle Augenstein},
  journal={ACM Computing Surveys (CSUR)},
  year={2022}
}
Alongside huge volumes of research on deep learning models in NLP in the recent years, there has been also much work on benchmark datasets needed to track modeling progress. Question answering and reading comprehension have been particularly prolific in this regard, with over 80 new datasets appearing in the past two years. This study is the largest survey of the field to date. We provide an overview of the various formats and domains of the current resources, highlighting the current lacunae… 

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