AI Data Companies · Punjabi
Punjabi Training Data for AI Data Companies
Data vendors and labelling platforms that win Indian-language work and need a delivery partner on the ground who works to their spec and under their brand. For Punjabi specifically, the work is shaped by 5 dialect varieties and by how much English enters the speech.
- Buyer profile
- AI Data Companies
- Language
- Punjabi (pa-IN)
- Typical ask
- Overflow and specialist capacity across Indian languages
Your problem
- Indian-language capacity is hard to build remotely, especially outside metros
- Client QA standards must be met by a subcontractor without loss of control
- Margins disappear when re-work is needed after delivery
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
- Will the partner work to our specification and schema exactly?
- Is the partner willing to work white-label under our client relationship?
- Is the QA report detailed enough to hand to our client unchanged?
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
- White-label and non-solicitation terms
- Your schema, your QA thresholds
- Predictable per-unit pricing
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. White-label and non-solicitation terms is addressed in the master agreement.
Request a Punjabi quote
Send the spec. You get scope, timeline and price.