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KoseiUemura/AfriHateClassification

AfriHateClassification An MTEB dataset Massive Text Embedding Benchmark AfriHate is a multilingual collection of hate speech and abusive language datasets covering 15 African languages. Each example is a tweet annotated by native speakers with sociocultural understanding of the context and language, addressing the crucial need for localized and community-driven moderation resources. Task category t2c Domains Social, Written Reference… See the full description on the dataset page: https://huggingface.co/datasets/KoseiUemura/AfriHateClassification.

Author / organizationKoseiUemura
License (as declared)cc-by-4.0
Downloads623 (as reported by Hugging Face)
Likes0
Created18 April 2026
Last updated at source18 April 2026
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