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Datasets

AfriHate Hate Speech Datasets vs MasakhaNEWS

A verified, side-by-side comparison. Both records are status-checked by Wycord, 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
10 Oct 2026
10 Oct 2026
Tags
nlp, african-languages, hate-speech, abusive-language, twitter
nlp, african-languages, text-classification, news, topic-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.
News-topic-classification dataset for 16 widely spoken African languages (incl. Hausa, Igbo, Yoruba, Nigerian Pidgin), ~31,088 rows in CSV/Parquet with train/val/test splits across seven topic categories. Built by the Masakhane community.

AfriHate Hate Speech Datasets vs MasakhaNEWS at a glance

AfriHate Hate Speech Datasets and MasakhaNEWS are both listed under Language / NLP in Wycord's Datasets index.

Both are based in Pan-African.

Both currently show the status "Docs live".

On access, both are marked "No approval needed".

Over the last 30 days Wycord's probes measured 100% uptime for AfriHate Hate Speech Datasets (36 checks) and 100% for MasakhaNEWS (36 checks).

Average response time on live probes was 139 ms for AfriHate Hate Speech Datasets and 247 ms for MasakhaNEWS.

Uptime and latency come from Wycord's own probes of each resource's website, documentation and repository, run every six hours.

How they differ

  • Pricing: AfriHate Hate Speech Datasets, Free / open; MasakhaNEWS, Free / CC-BY-NC 4.0.
  • Verification: AfriHate Hate Speech Datasets, Unverified; MasakhaNEWS, Verified.
  • Average latency: AfriHate Hate Speech Datasets, 139 ms; MasakhaNEWS, 247 ms.

Topics

Both are tagged: nlp, african-languages.

Only AfriHate Hate Speech Datasets: hate-speech, abusive-language, twitter.

Only MasakhaNEWS: text-classification, news, topic-classification.

Common questions

Which has better uptime, AfriHate Hate Speech Datasets or MasakhaNEWS?
They are level at 100% over the last 30 days.
Do AfriHate Hate Speech Datasets or MasakhaNEWS need approval before use?
Both are marked "No approval needed".
Is the documentation for AfriHate Hate Speech Datasets and MasakhaNEWS working?
Both show "Docs live" at the last check.
Where are AfriHate Hate Speech Datasets and MasakhaNEWS based?
Both are based in Pan-African.

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