LLM human data · IVR & Voice Bots
Human Data for LLM Projects for IVR & Voice Bots
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. Applied to ivr & voice bots, the specification is driven by one thing: intent accuracy.
- Service
- LLM human data
- Use case
- IVR & Voice Bots
- Primary metric
- Intent accuracy
Required data profile
- Telephony-bandwidth audio
- Dual-channel calls
- Intent-labelled utterances against a live taxonomy
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 |
Process
- Task specification and rubric design
- Contributor screening against the rubric
- Calibration round with feedback
- Production with overlap and gold items
- Adjudication and delivery
Metrics this feeds
- Intent accuracy
- Containment rate
- Barge-in handling
Failure modes to design out
- Studio audio downsampled to fake telephony
- Scripted callers who never interrupt
- Intent sets written by product, not derived from real calls
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
Frequently asked
Is llm human data the right service for ivr & voice bots?
It covers telephony-bandwidth audio. Most ivr & voice bots programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope llm human data for ivr & voice bots
Send the metric you need to move.