  The detection of toxic language in the Arabic language has emerged as an
active area of research in recent years, and reviewing the existing datasets
employed for training the developed solutions has become a pressing need. This
paper offers a comprehensive survey of Arabic datasets focused on online toxic
language. We systematically gathered a total of 54 available datasets and their
corresponding papers and conducted a thorough analysis, considering 18 criteria
across four primary dimensions: availability details, content, annotation
process, and reusability. This analysis enabled us to identify existing gaps
and make recommendations for future research works. For the convenience of the
research community, the list of the analysed datasets is maintained in a GitHub
repository (https://github.com/Imene1/Arabic-toxic-language).
