{"url":"/dataset/let-mi","name":"LeT-Mi","full_name":"Levantine Twitter dataset for Misogynistic language","description_markdown":"Levantine Twitter dataset for Misogynistic language (LeT-Mi) is an Arabic Levantine Twitter dataset for misogynistic language to be the first benchmark dataset for Arabic misogyny.\r\n\r\n⚠️ Note: To be made publicly available on Github\r\n\r\nSource: [Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language](https://arxiv.org/abs/2103.10195)\r\n\r\nImage source: [Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language](https://arxiv.org/abs/2103.10195)","description_withheld":null,"homepage":"https://github.com/bilalghanem/let-mi","introduced_date":"2021-03-18","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["LeT-Mi"],"data_loaders":[{"repo":"https://github.com/bilalghanem/let-mi","url":"https://github.com/bilalghanem/let-mi","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}