A Comprehensive Review of Arabic Question Answering Datasets

The research community has shown significant interest in Question Answering (QA) due to the strong relevance of QA applications. In recent years, there has been a significant increase in the availability of publicly accessible datasets aimed at advancing research in Arabic QA systems. This survey aims to identify, summarize, and analyze current Arabic QA datasets, such as Monolingual, Multilingual, and Cross-lingual. Our research surveys the existing datasets and provides a comprehensive and multi-faceted classification. Furthermore, this study aims to guide research in Arabic QA by providing the latest updates about the state-of-the-art in this field and identifying shortcomings in the current datasets to develop more substantial and improved collections. Finally, we discuss the existing challenges in Arabic QA datasets and highlight their potential benefits for future research.