Multilingual collection · LLM Evaluation
Multilingual Data Collection for LLM Evaluation
Parallel programmes across several Indian languages at once, run to one specification so the resulting datasets are comparable rather than a set of incompatible deliveries. Applied to llm evaluation, the specification is driven by one thing: rubric scores with confidence intervals.
- Service
- Multilingual collection
- Use case
- LLM Evaluation
- Primary metric
- Rubric scores with confidence intervals
Required data profile
- Native-speaker rater panels per language
- Rubric-based scoring with calibration
- Overlapping assignments for agreement
Technical specification
| Parameter | Standard |
|---|---|
| Languages | Up to 14 Indian languages plus Indian English in one programme |
| Consistency | One spec, one manifest schema, one QA standard across all languages |
| Balance | Per-language quotas set independently to match your deployment mix |
| Reporting | Single consolidated progress view across languages |
Process
- Master specification written once and localised per language
- Per-language linguistic review of prompts and guides
- Parallel fielding across studio cities
- Central QA applying identical thresholds
- Consolidated delivery with per-language reports
Metrics this feeds
- Rubric scores with confidence intervals
- Inter-rater agreement
- Failure-mode distribution
Failure modes to design out
- Raters who are fluent but not native in the variety
- Rubrics written in English and applied to non-English output without localisation
The hardest language sets the timeline. Low-resource languages such as Assamese and Odia should start first.
Deliverables
- Per-language datasets in one schema
- Cross-language coverage report
- Consolidated QA summary
Frequently asked
Is multilingual collection the right service for llm evaluation?
It covers native-speaker rater panels per language. Most llm evaluation programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope multilingual collection for llm evaluation
Send the metric you need to move.