---
title: "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"
---