LLM Companies · Punjabi
Punjabi Training Data for LLM Companies
Foundation and applied LLM teams that need Indian-language human data with provable provenance, covering languages their web crawl barely touched. For Punjabi specifically, the work is shaped by 5 dialect varieties and by how much English enters the speech.
- Buyer profile
- LLM Companies
- Language
- Punjabi (pa-IN)
- Typical ask
- Instruction-response pairs
Your problem
- Web-scraped Indian-language text is thin, noisy and heavily transliterated
- Code-mixed Hinglish is nearly absent from any structured training source
- Provenance and consent for human-generated data must survive external audit
What Punjabi requires
- Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
- Dialects: Majhi (standard), Malwai, Doabi, Puadhi
- Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
- Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.
How you will evaluate the delivery
- Is every item traceable to a screened, consenting contributor?
- Can contributors be screened by domain expertise, not just language?
- Is there an adjudication process for disagreement on subjective tasks?
Recommended cohort
Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them.
| Dimension | Typical split | Why it matters for Punjabi |
|---|---|---|
| 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 Punjabi forms that younger urban speakers have lost |
| Region | Punjab / Haryana / Delhi and others | Dialect spread across 5 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 |
Contract points
- Auditable provenance records
- Contributor consent for model training and distribution
- No third-party or scraped content in deliverables
Example requirement
"We need 500 hours of Punjabi from 800 speakers, 50/50 male-female, ages 18-45, studio quality, scripted plus spontaneous, delivered in WAV with transcripts."
That sentence is enough to produce a quote and a timeline. Anything missing, we will ask about once.
Frequently asked
Do you have Punjabi capacity available now?
Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them. Fielding usually starts one to two weeks after the specification is signed.
Can you work white-label?
Yes, including QA reporting written so it can be passed to your end client unchanged.
What licensing applies to Punjabi data?
Perpetual and transferable, with participant consent covering model training and downstream distribution. Auditable provenance records is addressed in the master agreement.
Request a Punjabi quote
Send the spec. You get scope, timeline and price.