LLM human data · मराठी
Marathi 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 Marathi, where retains the retroflex lateral ळ, which has no hindi or english equivalent and is frequently substituted with ल by non-native transcribers.
- Language
- Marathi (mr-IN)
- Dialects covered
- 6
- Typical programme
- 500-2,000 hours
- Cities
- Mumbai, Pune, Nagpur
What changes when the language is Marathi
The service specification stays constant across languages; the linguistics do not. For Marathi, three things drive the design of a llm human data programme.
- Retains the retroflex lateral ळ, which has no Hindi or English equivalent and is frequently substituted with ल by non-native transcribers
- Dialect spread: Standard (Puneri), Varhadi (Vidarbha), Marathwadi, Konkani-influenced coastal Marathi
- Mumbai and Pune speech mixes Marathi, Hindi, and English in the same sentence. Marathi-only recordings collected in Pune under-represent the Mumbai reality of tri-lingual switching.
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 |
Marathi cohort design
A representative Marathi cohort should be split roughly 40% western Maharashtra, 25% Vidarbha, 20% Marathwada, 15% Konkan rather than concentrated in Pune.
| Dimension | Typical split | Why it matters for Marathi |
|---|---|---|
| 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 Marathi forms that younger urban speakers have lost |
| Region | Maharashtra / Goa / parts of Karnataka 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
Marathi-specific quality rules
- ळ vs ल substitution by Hindi-trained transcribers
- Anusvara placement varies between conservative and modern orthography
- Varhadi verb endings get 'corrected' to standard forms unless the guide explicitly requires verbatim dialect transcription
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 Marathi llm human data engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Mumbai, Pune, Nagpur, 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
Available Marathi speech data is dominated by standard Puneri read speech. Vidarbha, Marathwada, and coastal Konkan varieties are severely under-collected, which is exactly where deployed voice products lose accuracy.
Frequently asked
How much does Marathi llm human data cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Marathi are dialect spread, demographic narrowness and recording condition, in that order.
Which Marathi dialects are included?
By default Standard (Puneri), Varhadi (Vidarbha), Marathwadi, Konkani-influenced coastal Marathi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Marathi 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 Marathi programme take?
2-6 weeks depending on task complexity and contributor screening depth.
Request a Marathi llm human data quote
Hours, speakers, dialects, deadline. Send what you have.