Beyond translated MMLU — evaluation built for Bharat.
Evaluation for honorifics, code-mix, idioms, caste-safety and pragmatic correctness — beyond translated MMLU.
Evaluation methodology and gold sets that test what translated benchmarks can't: honorifics, code-mix, idioms, pragmatics, and culturally-specific safety across Indic languages.
- Modalities
- Text
- Languages
- EN + 22 Indic
- Quality bar
- IAA ≥ 0.85 · two-pass QA
- Onboarding
- NDA → SOW in 14 days
Translated benchmarks lie. A model can ace a machine-translated MMLU and still mishandle honorifics, fumble code-mix, miss idioms, and produce culturally unsafe output — because the eval never tested for any of it.
Without an India-native evaluation set, you ship blind to the failures your users will hit on day one.
Gold evaluation sets and a documented rubric that measure honorifics, code-mix, pragmatics and cultural safety — so you know exactly where your model stands before release, with reproducible scores.
Where teams put this to work
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Foundation Model Labs
Honorifics & formality eval sets
Gold sets that measure whether your model gets tu/tum/aap and nee/neenga right across contexts.
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Enterprise GenAI
Code-mix & pragmatics benchmarks
Reproducible benchmarks for code-mixed comprehension, idioms and pragmatic correctness in real Indic usage.
A pipeline built for SLAs
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1
Guidelines
Co-write annotation guidelines with the client team and pilot reviewers.
Calibrated rubric
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2
Pilot
Run a 500-unit pilot to validate guidelines and tooling.
IAA ≥ 0.80
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3
Production
Scale to full volume with daily QA sampling and weekly calibration.
IAA ≥ 0.85
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4
Delivery
Versioned drops with audit logs, kappa reports, and dataset cards.
Audit-ready
Quality gates
- Native-speaker-authored gold references with adjudication
- Documented rubric covering honorifics, code-mix and pragmatics
- Reproducible scoring with inter-rater agreement reported
- Culturally-specific safety categories included by design
At a glance
What does Cultural & Cross-Lingual Evaluation cover?
The technical spec for this service — modalities, language coverage, deliverable formats and the QA stages every batch passes through.
| Specification | Detail |
|---|---|
| Modalities | Text |
| Languages / coverage | EN + 22 Indic |
| Deliverable formats | Gold evaluation sets, scoring rubric, reproducible score reports |
| QA stages | Native-speaker authoring → adjudication of gold references → reproducible scoring → inter-rater agreement report |
Representative spec. Exact modalities, languages, formats and acceptance thresholds are scoped per project in the SOW.
Trust & compliance
Data you can defend in a procurement review
Compliance is a feature, not a footnote — every delivery is built to clear legal, security and regulatory scrutiny.
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Rights-cleared & consented
Written contributor agreements granting commercial reuse, with a consent reference and authorship log per record.
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India-residency capable
Collection, annotation, processing and storage available in-country, aligned with the DPDP Act, 2023.
Sovereign delivery -
Documented & measured
Published quality metrics, provenance and license terms on every delivery — transparency technical buyers can audit.
FAQ
Cultural & Cross-Lingual Evaluation — common questions
- Is the data rights-cleared and safe to use commercially?
Yes. Every record is created or sourced under written agreements granting commercial reuse, with a consent reference and authorship log attached. We don't ship scraped data you can't legally train on.
- How do you measure and report quality?
We publish quality metrics on every delivery — inter-annotator agreement, QA pass rate, and (for speech) word error rate — with two-pass QA and adjudication. Each drop ships with a data card documenting methodology and provenance.
- Can you guarantee India data residency?
Yes. We offer sovereign delivery: work performed and stored entirely within India, aligned with the DPDP Act, 2023. See our Sovereign Data page for the full residency and compliance posture.
- How do we get started?
Tell us your languages, modalities, volume and timeline. A senior PM scopes the work and replies within one business day; we move from NDA to a signed SOW in about 14 days.
Scope a pilot for your next data program.
Tell us what you need — we'll recommend the right approach, quality bar and a phased plan. Or browse off-the-shelf datasets in the catalog.
Where this applies
Ready to scope a pilot?
A senior Language PM will scope your project and respond within one business day.
Talk to a Language PM