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Low-resource language Latin / Ajami Nigeria / Niger (Africa)

Hausa AI Training Datasets

Hausa (Harshen Hausa) spoken in Nigeria / Niger (Africa), written in Latin / Ajami, is one of the languages we build proprietary, rights-cleared datasets for. It is a low-resource language: usable training data barely exists on the open web, so it has to be collected from real speakers with consent. Every Hausa dataset ships with documented consent, provenance and published quality metrics, and is available with India data residency.

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Global multilingual data network spanning scripts and regions, representing coverage for the Hausa AI Training Datasets
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Hausa datasets in the catalog

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Services for Hausa data

When the data you need doesn't exist yet, we build it — collection, annotation, alignment and evaluation, all rights-cleared and documented.

Multilingual Data Collection

Native-speaker audio, video, image and text collection across Indic, African and low-resource languages — field-grade, consented, documented.

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Data Annotation

Speech, NLP, CV and multimodal annotation at IAA ≥ 0.85 with two-pass QA — built for foundation-model SLAs.

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SFT Gold-Standard Data

High-quality prompt/response curation for supervised fine-tuning — vetted by linguistic SMEs, not crowd-sourced noise.

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Cultural & Cross-Lingual Evaluation

Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.

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India data residency & sovereign delivery · Engagement models & pricing
FAQ

Common questions

Is the Hausa data rights-cleared and safe to train on?

Yes. Every Hausa record is created or sourced under written contributor agreements granting commercial reuse, with a consent reference and authorship log — never scraped.

Can you collect more Hausa data to spec?

Yes. When the Hausa data you need doesn't exist, we collect and annotate it to your specification across speech, text and multimodal modalities, with an India-residency option.

How is Hausa data quality measured?

Each dataset ships with a data card: inter-annotator agreement, QA pass rate, and (for speech) word error rate, with two-pass QA and adjudication.

Need Hausa data your model can train on?

License what's in the catalog, or tell us exactly what you need — we build proprietary, rights-cleared datasets to spec, with India data residency.

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