Datasets
AfriHate Hate Speech Datasets vs MasakhaNER 2.0
A verified, side-by-side comparison. Both records are status-checked by Findra, so you are comparing what each actually offers today, not a stale listing.
Category
Datasets
Datasets
Type
Language / NLP
Language / NLP
Country
🌍 Pan-African
🌍 Pan-African
Docs status
Docs live
Docs live
Licensing
Pricing
Free / open
Free / CC-BY-NC 4.0
Verified
Unverified
Verified
Last verified
5 Jul 2026
5 Jul 2026
Tags
nlp, african-languages, hate-speech, abusive-language, twitter
nlp, ner, named-entity-recognition, african-languages, token-classification
Summary
Multilingual collection of hate speech and abusive language datasets covering 15 African languages, built from tweets annotated by native speakers. Each instance carries labels from 3 to 4 annotators with anonymous annotator IDs, downloadable on HuggingFace. Published at NAACL 2025.
Largest high-quality named-entity-recognition corpus for 20 African languages (incl. Nigerian Pidgin, Hausa, Igbo, Yoruba) with PER/ORG/LOC/DATE tags over news-domain text, totaling ~152,786 rows. Built by the Masakhane community.