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).

翻译：近年来，阿拉伯语中有毒语言检测已成为一个活跃的研究领域，而系统回顾用于训练已开发解决方案的现有数据集已成为迫切需求。本文对专注于在线有毒语言的阿拉伯语数据集进行了全面调研。我们系统地收集了总计54个可用数据集及其对应论文，并进行了深入分析，考虑了四个主要维度的18项标准：可用性细节、内容、标注过程及可复用性。这一分析使我们能够识别现有空白，并为未来研究工作提出建议。为方便研究社区，已分析数据集的列表维护在GitHub仓库中（https://github.com/Imene1/Arabic-toxic-language）。