aidataservices.inAI data collection · India

LLM Companies · Kannada

Kannada 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 Kannada specifically, the work is shaped by 5 dialect varieties and by how much English enters the speech.

Request a dataset quoteReply within one working day
Annotators writing prompts and responses for LLM training data — Kannada Training Data for LLM Companies
Buyer profile
LLM Companies
Language
Kannada (kn-IN)
Typical ask
Instruction-response pairs
01

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
LLM Companies · KannadaWhat goes wrongWhat they check before signingWeb-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-generate…d data must survive external audit…Is every item traceable to a screened, co…nsenting contributor?…Can contributors be screened by domain ex…pertise, not just language?…Is there an adjudication process for disa…greement on subjective tasks?…We quote against the right-hand column, not the pitch.
02

What Kannada requires

  • North Karnataka speech has markedly different intonation and lexicon from Mysuru standard
  • Dialects: Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal
  • Bengaluru is a migration city: Kannada speech there is mixed with English, Hindi, Tamil and Telugu. Native-only Kannada cohorts recruited in Bengaluru are hard to fill without screening for years of residence.
  • Mysuru/Bengaluru standard dominates. North Karnataka (Dharwad, Kalaburagi) and coastal Mangaluru speech are barely represented in any public corpus.
Two-speaker conversational recording session in a studio — supporting kannada training data for llm companies
Two-speaker conversational recording session in a studio
03

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?
04

Recommended cohort

Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.

DimensionTypical splitWhy it matters for Kannada
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Kannada forms that younger urban speakers have lost
RegionKarnataka / parts of Maharashtra, Tamil Nadu and Andhra Pradesh and othersDialect spread across 5 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
05

Contract points

  • Auditable provenance records
  • Contributor consent for model training and distribution
  • No third-party or scraped content in deliverables
06

Example requirement

"We need 1,000 hours of Kannada from 1,500 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 Kannada capacity available now?

Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada. 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 Kannada data?

Perpetual and transferable, with participant consent covering model training and downstream distribution. Auditable provenance records is addressed in the master agreement.

Request a Kannada quote

Send the spec. You get scope, timeline and price.

Request a dataset quote