Research in question answering datasets and models has gained a lot of attention in the research community. Many of them release their own question answering datasets as well as the models. There is tremendous progress that we have seen in this area of research. The aim of this survey is to recognize, summarize and analyze the existing datasets that have been released by many researchers, especially in non-English datasets as well as resources such as research code, and evaluation metrics. In this paper, we review question answering datasets that are available in common languages other than English such as French, German, Japanese, Chinese, Arabic, Russian, as well as the multilingual and cross-lingual question-answering datasets.
@article{arxiv.2112.13634,
title = {A Survey on non-English Question Answering Dataset},
author = {Andreas Chandra and Affandy Fahrizain and Ibrahim and Simon Willyanto Laufried},
journal= {arXiv preprint arXiv:2112.13634},
year = {2021}
}