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Kencorpus Kenyan Language Corpus vs MasakhaNER 2.0

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.

Kencorpus Kenyan Language CorpusMasakhaNER 2.0
Category
Datasets
Datasets
Type
Language / NLP
Language / NLP
Country
🇰🇪 Kenya
🌍 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, corpus, swahili, dholuo, luhya
nlp, ner, named-entity-recognition, african-languages, token-classification
Links
Website Docs
Website Docs GitHub
Summary
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.
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.

Kencorpus Kenyan Language Corpus vs MasakhaNER 2.0 at a glance

Kencorpus Kenyan Language Corpus and MasakhaNER 2.0 are both listed under Language / NLP in Wycord's Datasets index.

Kencorpus Kenyan Language Corpus is based in Kenya and MasakhaNER 2.0 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 Kencorpus Kenyan Language Corpus (36 checks) and 100% for MasakhaNER 2.0 (36 checks).

Average response time on live probes was 282 ms for Kencorpus Kenyan Language Corpus and 242 ms for MasakhaNER 2.0.

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: Kencorpus Kenyan Language Corpus, Free / open; MasakhaNER 2.0, Free / CC-BY-NC 4.0.
  • Country: Kencorpus Kenyan Language Corpus, Kenya; MasakhaNER 2.0, Pan-African.
  • Verification: Kencorpus Kenyan Language Corpus, Unverified; MasakhaNER 2.0, Verified.
  • Average latency: Kencorpus Kenyan Language Corpus, 282 ms; MasakhaNER 2.0, 242 ms.

Topics

Both are tagged: nlp.

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

Only MasakhaNER 2.0: ner, named-entity-recognition, african-languages, token-classification.

Common questions

Which has better uptime, Kencorpus Kenyan Language Corpus or MasakhaNER 2.0?
They are level at 100% over the last 30 days.
Do Kencorpus Kenyan Language Corpus or MasakhaNER 2.0 need approval before use?
Both are marked "No approval needed".
Is the documentation for Kencorpus Kenyan Language Corpus and MasakhaNER 2.0 working?
Both show "Docs live" at the last check.
Where are Kencorpus Kenyan Language Corpus and MasakhaNER 2.0 based?
Kencorpus Kenyan Language Corpus is based in Kenya; MasakhaNER 2.0 is based in Pan-African.

More comparisons

Full details: Kencorpus Kenyan Language CorpusFull details: MasakhaNER 2.0