Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language

Link to publication: https://arxiv.org/abs/2103.10195

Link to data: https://drive.google.com/file/d/1mM2vnjsy7QfUmdVUpKqHRJjZyQobhTrW/view

Task description: Binary (misogyny/none) and Multi-class (none, discredit, derailing, dominance, stereotyping & objectification, threat of violence, sexual harassment, damning)

Details of task: Introducing an Arabic Levantine Twitter dataset for Misogynistic language

Size of dataset: 6603

Percentage abusive: 48.76

Language: Arabic

Level of annotation: Posts

Platform: Twitter

Medium: Text, Images

Reference: Hala Mulki and Bilal Ghanem. 2021. Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language. In Proceedings of the Sixth Arabic Natural Language Processing Workshop, pages 154–163, Kyiv, Ukraine (Virtual). Association for Computational Linguistics