datahub/examples/turing/content/datasets/let-mi-an-arabic-levantine-twitter-dataset-for-mysogynistic-language.md

title, link-to-publication, link-to-data, task-description, details-of-task, size-of-dataset, percentage-abusive, language, level-of-annotation, platform, medium, reference

title	link-to-publication	link-to-data	task-description	details-of-task	size-of-dataset	percentage-abusive	language	level-of-annotation	platform	medium	reference
Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language	https://arxiv.org/abs/2103.10195	https://drive.google.com/file/d/1mM2vnjsy7QfUmdVUpKqHRJjZyQobhTrW/view	Binary (misogyny/none) and Multi-class (none, discredit, derailing, dominance, stereotyping & objectification, threat of violence, sexual harassment, damning)	Introducing an Arabic Levantine Twitter dataset for Misogynistic language	6603	48.76	Arabic	Posts	Twitter	Text Images	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