Explore Dataset Formats
Every dataset is built to your spec, not pulled from a shelf. Core languages below. Multilingual code-mixed combinations and other languages available on request. Recorded by consented human contributors, then annotated and reviewed according to the agreed project scope.
What buyers receive
Each dataset is scoped around the buyer's model, language mix, use case, speaker requirements, metadata needs, QA depth, and delivery format.
Audio
Audio in agreed WAV or project-specific formats, with recording environment and session details documented where required.
Transcripts
Speaker-labelled transcripts where required, with timestamp depth scoped to the project.
Session metadata
Language, dialect or accent group, speaker ID, scenario type, recording environment, duration, and QA status.
Consent-linked records
Consent-linked references covering the agreed data use, including AI training, evaluation, or benchmarking where applicable.
QA records
Audio quality checks, language verification, scenario adherence review, and known issue notes where required.
Delivery
Secure delivery method agreed before sample or pilot sharing, with format adjustments available based on buyer workflow.
Hindi Customer Support Conversations
Transcript Snippet
spk_02: sir, mujhe aapka order number dijiye, main check karta hoon.
Metadata Schema
"language": "hindi",
"accent": "standard_northern"
}
File Structure
├── audio.wav
├── transcript.json
└── metadata.json
Primary Use Cases
ASR fine-tuning for customer support voicebots, onboarding flows, sales conversation AI, and dialect-specific NLU models.
Hinglish Voice Agent Testing
Transcript Snippet
spk_02: sir, main check karta hoon aapke liye, ek minute please.
Metadata Schema
"mix_ratio": "defined_per_project",
"domain": "customer_support",
"scenario_type": "refund_follow_up"
}
File Structure
├── batch_001.zip
├── manifest.csv
└── segments.json
Primary Use Cases
Ideal for urban Indian AI assistants, e-commerce support bots, and multi-lingual sentiment analysis.
Punjabi Conversational Speech
Transcript Snippet
spk_02: vadiya vadiya, tusi daso kidda aana hoya?
Metadata Schema
"dialect": "majhi",
"setting": "indoor_quiet"
}
File Structure
├── audio/
├── transcripts/
└── metadata.json
Primary Use Cases
Regional voice search engines, agricultural advisory bots, and government service accessibility.
Marwadi Regional Conversations
Transcript Snippet
spk_02: arey bhai, kal pakka bhej dyun.
Metadata Schema
"domain": "trade_finance",
"consent_reference": "linked",
"consent_scope": "project_defined"
}
File Structure
├── audio/
├── master_meta.json
└── consent_summary.json
Primary Use Cases
Hyper-local commerce bots, financial inclusion initiatives, and specialized dialect translation.
Indian English Support Conversations
Transcript Snippet
spk_02: Sure, let me pull up your account. Can I have your order number?
Metadata Schema
"accent_profile": "pan_india_professional",
"role": "support_agent"
}
File Structure
├── audio/
├── transcripts/
└── metadata.json
Primary Use Cases
Enterprise meeting transcription, call centre ASR, and Indian accent-aware LLM evaluation.
Code-Switched Evaluation Set
Example Language Pairs
Metadata Schema
"lang_pair": "marwadi-hindi",
"per_token_lang_id": true
}
File Structure
├── audio.wav
├── transcript.json
└── metadata.json
Primary Use Cases
Code-switching ASR, multilingual LLM fine-tuning, cross-dialect NLU, and regional voice assistants that reflect how India actually speaks.
Request a Scope Review
Not all voice data is the same. Tell us your use case, languages, and pipeline and we will review the scope and share the most relevant preview path for your evaluation.
Scope a DatasetRequest Dataset Specs
Tell us about your requirements and we will review the scope and respond with the next step.
Request Received
Thanks. We will review your request and reply with the next practical step.