Datasets
AfriQA 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 / CC-BY-SA 4.0
Free / CC-BY-NC 4.0
Verified
Verified
Verified
Last verified
24 Jun 2026
24 Jun 2026
Tags
nlp, african-languages, question-answering, cross-lingual, open-retrieval
nlp, ner, named-entity-recognition, african-languages, token-classification
Summary
Cross-lingual open-retrieval question-answering dataset with human-translated QA pairs for 10 African languages (incl. Hausa, Igbo, Yoruba), totaling 12,159 examples across train/validation/test splits. From the Masakhane initiative.
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.