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AfriQA vs Kencorpus Kenyan Language Corpus

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.

AfriQAKencorpus Kenyan Language Corpus
Category
Datasets
Datasets
Type
Language / NLP
Language / NLP
Country
🌍 Pan-African
🇰🇪 Kenya
Docs status
Docs live
Docs live
Licensing
Pricing
Free / CC-BY-SA 4.0
Free / open
Verified
Verified
Unverified
Last verified
10 Oct 2026
10 Oct 2026
Tags
nlp, african-languages, question-answering, cross-lingual, open-retrieval
nlp, corpus, swahili, dholuo, luhya
Links
Website Docs GitHub
Website Docs
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.
Text and speech corpus for three Kenyan languages, Swahili, Dholuo and Luhya, containing 4,442 texts (5.6 million words) and 1,152 speech files (177 hours). It also ships derived NLP sets: POS-tagged Dholuo/Luhya, 7,537 Swahili question-answer pairs and 13,400 translated sentences. Downloadable from Harvard Dataverse; released 2022.

AfriQA vs Kencorpus Kenyan Language Corpus at a glance

AfriQA and Kencorpus Kenyan Language Corpus are both listed under Language / NLP in Wycord's Datasets index.

AfriQA is based in Pan-African and Kencorpus Kenyan Language Corpus in Kenya.

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 AfriQA (36 checks) and 100% for Kencorpus Kenyan Language Corpus (36 checks).

Average response time on live probes was 207 ms for AfriQA and 282 ms for Kencorpus Kenyan Language Corpus.

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: AfriQA, Free / CC-BY-SA 4.0; Kencorpus Kenyan Language Corpus, Free / open.
  • Country: AfriQA, Pan-African; Kencorpus Kenyan Language Corpus, Kenya.
  • Verification: AfriQA, Verified; Kencorpus Kenyan Language Corpus, Unverified.
  • Average latency: AfriQA, 207 ms; Kencorpus Kenyan Language Corpus, 282 ms.

Topics

Both are tagged: nlp.

Only AfriQA: african-languages, question-answering, cross-lingual, open-retrieval.

Only Kencorpus Kenyan Language Corpus: corpus, swahili, dholuo, luhya.

Common questions

Which has better uptime, AfriQA or Kencorpus Kenyan Language Corpus?
They are level at 100% over the last 30 days.
Do AfriQA or Kencorpus Kenyan Language Corpus need approval before use?
Both are marked "No approval needed".
Is the documentation for AfriQA and Kencorpus Kenyan Language Corpus working?
Both show "Docs live" at the last check.
Where are AfriQA and Kencorpus Kenyan Language Corpus based?
AfriQA is based in Pan-African; Kencorpus Kenyan Language Corpus is based in Kenya.

More comparisons

Full details: AfriQAFull details: Kencorpus Kenyan Language Corpus