Datasets › TUN-EL
TUN-EL
Arabic multi-dialectal hate speech dataset. It consists of 23,033 tweets labelled for Hate, Abusive and Normal in three Arabic dialects Egyptian, Lebaneese and Tunisian.
How to cite this work: Badri, Nabil, Ferihane Kboubi, and Anja Habacha Chaibi. "Towards automatic detection of inappropriate content in multi-dialectic Arabic text." International Conference on Computational Collective Intelligence. Cham: Springer International Publishing, 2022.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
CC BY (Citation Required)
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- TUN-EL
1 variant name, as the archive lists them.
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