# A Survey on non-English Question Answering Dataset

Source: [A Survey on non-English Question Answering Dataset](<https://www.sota2.com/research/paper/68fa6b7c1e209131cea2e7d3>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-27T06:12:33.795Z

Authors: Andreas Chandra, Affandy Fahrizain, Ibrahim, Simon Willyanto Laufried

Published: 2021-12-27T12:45:06.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2112.13634>)

[PDF](<https://arxiv.org/pdf/2112.13634.pdf>)