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NLP

Hausa–English Translation Dataset

Parallel Hausa and English pairs for translation exercises.

Demo datasetVerified datasetPrivacy reviewedHuman validatedLicence confirmedAI-assistedv1.0public

Dataset description

Demonstration bitext. Pairs are short, hand-written examples for the task runner and data card. They are not a 75,000-pair commercial corpus.

Creator
AI HUB Data Team (demo)
Records
75,000
Format
JSONL
Collection period
Demo catalogue
Updated
2026-11-07
Downloads of samples
0
94

Quality score 94/100

₦180,000 licence (demo price)

At 20% platform fee: creator ₦144,000, platform ₦36,000. This is a quote. Paystack is not connected.

Samples use a 10-minute grant. Full files are not hosted.

Quality breakdown

20% completeness + 18% accuracy + 14% consistency + 12% annotation agreement + 14% documentation + 12% duplicate health + 10% metadata.

Completeness

97%

Accuracy

94%

Consistency

93%

Duplicate rate

0.8%

Annotation agreement

91%

Documentation

90%

Metadata

88%

Data preview

Safe sample only. Restricted fields are not shown.

idsource_hautarget_endomain
t1Na gode sosai.Thank you very much.courtesy
t2Kudi nawa ne?How much is it?market

Data card

Purpose
Hausa to English and English to Hausa translation.
Collection method
Authored demo pairs. AI-assisted flag marks that drafting help is allowed in the real workflow, not that this sample was model-generated at scale.
Annotation method
One reference translation per source line.
Source
Demo catalogue.
Size
75,000 catalogue target. Sample only is hosted.
Fields
id, source_hau, target_en, domain
Language
Hausa, English
Geography
Nigeria
Limitations
No informal social-media register. No audio.
Potential bias
Formal written Hausa is over-represented versus spoken varieties.
Recommended uses
Evaluating a translation task UI and licence flow.
Prohibited uses
Training a production translation model and claiming benchmark results.
Licence
commercial

Versions

  • v1.0 · 2026-02-01

    Demo release.

    +75000 / −0 · Initial score · source_hau, target_en, domain

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