LLM human data · മലയാളം
Malayalam 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 Malayalam, where one of the most consonant-dense indian languages; long geminates and clusters raise word error rates sharply.
- Language
- Malayalam (ml-IN)
- Dialects covered
- 5
- Typical programme
- 100-500 hours
- Cities
- Kochi, Thiruvananthapuram, Kozhikode
What changes when the language is Malayalam
The service specification stays constant across languages; the linguistics do not. For Malayalam, three things drive the design of a llm human data programme.
- One of the most consonant-dense Indian languages; long geminates and clusters raise word error rates sharply
- Dialect spread: Thiruvananthapuram, Kochi (central), Malabar / Kozhikode, Thrissur
- Manglish is standard in urban and professional speech, with heavy English noun and verb insertion.
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 |
Malayalam cohort design
Budget higher transcription effort per audio hour for Malayalam than for Hindi; speech rate and morphology make it slower to annotate.
| Dimension | Typical split | Why it matters for Malayalam |
|---|---|---|
| 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 Malayalam forms that younger urban speakers have lost |
| Region | Kerala / Lakshadweep / Puducherry (Mahe) 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
Malayalam-specific quality rules
- Old vs new script (chillu characters, Unicode normalisation) mixed within a dataset
- Fast speech leads to dropped-word transcription errors without a second-pass QA
- Dialect vocabulary from Malabar standardised away
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 Malayalam llm human data engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Kochi, Thiruvananthapuram, Kozhikode, 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
Central Kerala news-reading dominates public data. Malabar and southern varieties, and fast conversational speech generally, are missing.
Frequently asked
How much does Malayalam llm human data cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Malayalam are dialect spread, demographic narrowness and recording condition, in that order.
Which Malayalam dialects are included?
By default Thiruvananthapuram, Kochi (central), Malabar / Kozhikode, Thrissur and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Malayalam 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 Malayalam programme take?
2-6 weeks depending on task complexity and contributor screening depth.
Request a Malayalam llm human data quote
Hours, speakers, dialects, deadline. Send what you have.