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Kencorpus

lab · Kenya

Scores

1 product on the map — 1 open.

Kencorpus

Openness

5 high confidence
5.0
license
cc-by-4.0(card metadata on all six repositories)
access
public(Hugging Face repositories ungated)
dataset_card
present(each repository has statistics, fields and usage)

All six repositories download without a gate under an attribution-only license. The paper calls it one of few public-domain corpora for these languages, though the cards use CC BY 4.0 rather than a public-domain dedication.

Adoption

1 high confidence
1.0

Hugging Face downloads summed over the text, audio and four task repositories that carry the Kencorpus paper link. Downloads count file fetches, not users.

Capability

2 medium confidence
2.0

Kencorpus gives Swahili, Dholuo and Luhya a community-sourced text and speech corpus with tagging, question answering and translation sets, documented in a paper, with one community translation model trained on it. At under two hundred hours of speech and a few million words of text it is small beside English corpora of hundreds of thousands of hours and trillions of tokens, and WURA's African web corpus trained the AfriTeVa models.