LLM human data · தமிழ்
Tamil Human Data for LLM Projects
Human-generated text and speech for LLM training and evaluation in Indian languages: prompts, preference rankings, instruction-response pairs, red-teaming and cultural-fit review. This page covers how that works specifically for Tamil, where extreme diglossia: written tamil and spoken tamil differ so much that read-speech corpora are near-useless for conversational asr.
- Language
- Tamil (ta-IN)
- Dialects covered
- 6
- Typical programme
- 500-2,000 hours
- Cities
- Chennai, Coimbatore, Madurai
What changes when the language is Tamil
The service specification stays constant across languages; the linguistics do not. For Tamil, three things drive the design of a llm human data programme.
- Extreme diglossia: written Tamil and spoken Tamil differ so much that read-speech corpora are near-useless for conversational ASR
- Dialect spread: Chennai (Madras Bashai), Kongu (Coimbatore), Madurai, Nellai (Tirunelveli)
- Tanglish is the default urban register. Technology, finance, and workplace vocabulary is largely English embedded in Tamil syntax.
Technical specification
| Parameter | Standard |
|---|---|
| Task types | Prompt writing, response ranking, instruction-response pairs, adversarial testing |
| Languages | Any language in the network, including code-mixed Hinglish |
| Contributors | Screened by domain, education band and language proficiency |
| Agreement | Overlapping assignments with adjudication |
| Provenance | Per-item contributor and time records |
Tamil cohort design
Recruit by district rather than by city alone; Chennai-only cohorts produce models that degrade sharply in the south and west of the state.
| Dimension | Typical split | Why it matters for Tamil |
|---|---|---|
| Gender | 50 / 50 | Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition |
| Age | 18-25: 30%, 26-40: 40%, 41-60: 30% | Older speakers retain conservative Tamil forms that younger urban speakers have lost |
| Region | Tamil Nadu / Puducherry / parts of Karnataka and Kerala and others | Dialect spread across 6 recognised varieties |
| Education | Mixed, including below-graduate | Prompt-reading fluency correlates with education and skews prosody |
| Condition | Studio / quiet room / field | Match the noise profile of your deployment |
Process
- Task specification and rubric design
- Contributor screening against the rubric
- Calibration round with feedback
- Production with overlap and gold items
- Adjudication and delivery
Tamil-specific quality rules
- Transcribers normalising spoken Tamil into literary Tamil, destroying the acoustic-text alignment
- ழ / ள / ல confusion
- Inconsistent handling of English insertions: Tamil script transliteration vs Latin script must be fixed in the guide
Every item is traceable to a screened contributor, which matters when a model vendor audits your data provenance.
Deliverables
- Task data in your schema
- Rubric and calibration results
- Contributor metadata (anonymised)
- Agreement statistics
Worked example
A representative Tamil llm human data engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Chennai, Coimbatore, Madurai, recorded to the specification above and delivered in WAV with a per-utterance manifest.
Timeline: 2-6 weeks depending on task complexity and contributor screening depth.
Where this data is missing today
Almost all public Tamil audio is literary read speech from news or scripture. Genuine colloquial Tamil, especially southern and Kongu varieties, is the single biggest gap for anyone building Tamil voice products.
Frequently asked
How much does Tamil llm human data cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Tamil are dialect spread, demographic narrowness and recording condition, in that order.
Which Tamil dialects are included?
By default Chennai (Madras Bashai), Kongu (Coimbatore), Madurai, Nellai (Tirunelveli) and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Tamil data in our format?
Yes. Task data in your schema is the default, but naming, schema and directory structure follow your pipeline.
How long does a Tamil programme take?
2-6 weeks depending on task complexity and contributor screening depth.
Request a Tamil llm human data quote
Hours, speakers, dialects, deadline. Send what you have.