aidataservices.inAI data collection · India

LLM human data · অসমীয়া

Assamese 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 Assamese, where assamese has the voiceless velar fricative /x/, unique among major indian languages and routinely mis-modelled.

Request a dataset quoteReply within one working day
Annotators writing prompts and responses for LLM training data — Assamese Human Data for LLM Projects
Language
Assamese (as-IN)
Dialects covered
4
Typical programme
100-500 hours
Cities
Guwahati, Jorhat, Dibrugarh
01

What changes when the language is Assamese

The service specification stays constant across languages; the linguistics do not. For Assamese, three things drive the design of a llm human data programme.

  • Assamese has the voiceless velar fricative /x/, unique among major Indian languages and routinely mis-modelled
  • Dialect spread: Kamrupi, Goalparia, Upper Assam (Sibsagar standard), Barak Valley contact varieties
  • Assamese speech mixes Hindi, English and Bengali, with substantial contact influence in Barak Valley and tea-garden communities.
LLM human data — Assamese · written into the SOW before recordingTask typesPrompt writing, response ranking, instruction-response pair…LanguagesAny language in the network, including code-mixed HinglishContributorsScreened by domain, education band and language proficiencyAgreementOverlapping assignments with adjudicationProvenancePer-item contributor and time recordsYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Task typesPrompt writing, response ranking, instruction-response pairs, adversarial testing
LanguagesAny language in the network, including code-mixed Hinglish
ContributorsScreened by domain, education band and language proficiency
AgreementOverlapping assignments with adjudication
ProvenancePer-item contributor and time records
Two speakers recording natural conversational speech data — supporting assamese human data for llm projects
Two speakers recording natural conversational speech data
03

Assamese cohort design

Expect longer fielding times and higher per-hour cost than for Hindi or Marathi; the speaker pool with transcription-grade literacy is smaller.

DimensionTypical splitWhy it matters for Assamese
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 Assamese forms that younger urban speakers have lost
RegionAssam / Arunachal Pradesh / parts of Nagaland and Meghalaya and othersDialect spread across 4 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
04

Process

  • Task specification and rubric design
  • Contributor screening against the rubric
  • Calibration round with feedback
  • Production with overlap and gold items
  • Adjudication and delivery
05

Assamese-specific quality rules

  • Bengali characters substituted for Assamese ৰ / ৱ
  • Goalparia and Kamrupi forms standardised to Sibsagar Assamese
  • Tea-garden community speech excluded because transcribers cannot handle it

Every item is traceable to a screened contributor, which matters when a model vendor audits your data provenance.

06

Deliverables

  • Task data in your schema
  • Rubric and calibration results
  • Contributor metadata (anonymised)
  • Agreement statistics
07

Worked example

A representative Assamese llm human data engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Guwahati, Jorhat, Dibrugarh, 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.

08

Where this data is missing today

Extremely low-resource. Almost no spontaneous Assamese speech data exists publicly, and non-standard dialects have none.

Frequently asked

How much does Assamese llm human data cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Assamese are dialect spread, demographic narrowness and recording condition, in that order.

Which Assamese dialects are included?

By default Kamrupi, Goalparia, Upper Assam (Sibsagar standard), Barak Valley contact varieties and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Assamese 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 Assamese programme take?

2-6 weeks depending on task complexity and contributor screening depth.

Request a Assamese llm human data quote

Hours, speakers, dialects, deadline. Send what you have.

Request a dataset quote