LLM human data · ਪੰਜਾਬੀ
Punjabi 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 Punjabi, where punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in gurmukhi orthography.
- Language
- Punjabi (pa-IN)
- Dialects covered
- 5
- Typical programme
- 100-500 hours
- Cities
- Amritsar, Ludhiana, Jalandhar
What changes when the language is Punjabi
The service specification stays constant across languages; the linguistics do not. For Punjabi, three things drive the design of a llm human data programme.
- Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
- Dialect spread: Majhi (standard), Malwai, Doabi, Puadhi
- Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
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 |
Punjabi cohort design
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 |
Process
- Task specification and rubric design
- Contributor screening against the rubric
- Calibration round with feedback
- Production with overlap and gold items
- Adjudication and delivery
Punjabi-specific quality rules
- Tone is unrepresented in text, so pronunciation lexicons must be built from audio, not from spelling
- Shahmukhi vs Gurmukhi script decisions must be fixed per project
- Adhak (gemination) applied inconsistently
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 Punjabi llm human data engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Amritsar, Ludhiana, Jalandhar, 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
Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.
Frequently asked
How much does Punjabi llm human data cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Punjabi are dialect spread, demographic narrowness and recording condition, in that order.
Which Punjabi dialects are included?
By default Majhi (standard), Malwai, Doabi, Puadhi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Punjabi 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 Punjabi programme take?
2-6 weeks depending on task complexity and contributor screening depth.
Request a Punjabi llm human data quote
Hours, speakers, dialects, deadline. Send what you have.