AraTox: A Multi-Dialect, Multi-Label Arabic Dataset for Toxicity Detection

AraTox is a multi-dialect, multi-label Arabic dataset for toxicity detection. It contains annotated Arabic text representing multiple varieties, including Gulf, Levantine, Nile Basin, North African, Yemeni, and Modern Standard Arabic (MSA).

The dataset is designed to support research in toxic language detection, multi-label classification, and the benchmarking of Arabic NLP models across dialects.

This dataset accompanies the following publication:
Aratox: A multi-dialect, multi-label Arabic dataset and model benchmark for toxicity detection

If you use this dataset, please cite:

Alshargi, F., Abulohoom, A., Yagi, S., Jabr, F., Lulu, L., & Elnagar, A. (2026).
Aratox: A multi-dialect, multi-label Arabic dataset and model benchmark for toxicity detection.
Language Resources & Evaluation, 60, 39.
https://doi.org/10.1007/s10579-026-09917-9

AraTox是一款面向毒性检测的多方言、多标签阿拉伯语数据集。其收录经人工标注的阿拉伯语文本，涵盖海湾阿拉伯语、黎凡特阿拉伯语、尼罗河流域阿拉伯语、北非阿拉伯语、也门阿拉伯语以及现代标准阿拉伯语（Modern Standard Arabic，MSA）等多种方言变体。

本数据集旨在支撑毒性语言检测、多标签分类领域的研究工作，以及跨方言阿拉伯语自然语言处理（Natural Language Processing，NLP）模型的基准测试任务。

该数据集配套发表于以下学术论文：
《AraTox：面向毒性检测的多方言多标签阿拉伯语数据集与模型基准测试集》

若您使用本数据集，请引用如下文献：
Alshargi, F., Abulohoom, A., Yagi, S., Jabr, F., Lulu, L., & Elnagar, A. (2026).
AraTox: A multi-dialect, multi-label Arabic dataset and model benchmark for toxicity detection.
《语言资源与评价》（Language Resources & Evaluation）, 60, 39.
https://doi.org/10.1007/s10579-026-09917-9