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Low-resource language Perso-Arabic / Devanagari Gujarat / Rajasthan (West India)

Sindhi AI Training Datasets

Sindhi (سنڌي) spoken in Gujarat / Rajasthan (West India), written in Perso-Arabic / Devanagari, 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 Sindhi dataset ships with documented consent, provenance and published quality metrics, and is available with India data residency.

Global multilingual data network spanning scripts and regions, representing coverage for the Sindhi AI Training Datasets
Matching datasets

Sindhi datasets in the catalog

Showing 1 of 41 datasets.

  • Safety / Eval
    Safety / Eval Text 🇮🇳 Sovereign

    South Asian Instruction-Following Eval (Rare Languages)

    An instruction-following and reasoning evaluation suite for four under-served South Asian languages, with human reference answers and rubric-based scoring.

    Languages:
    Maithili, Bhojpuri, Santali, Sindhi
    Size:
    9,600 instruction–response pairs
    IAA:
    0.84

    Licence from

    Contact us

    Rights-cleared
FAQ

Common questions

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

Yes. Every Sindhi 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 Sindhi data to spec?

Yes. When the Sindhi 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 Sindhi 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 Sindhi 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.