Conversational Hindi And English Datasets in custom Domains

LLM Fine-Tuning Data

Tags and Keywords

Transcribed

Conversational

Audio

Hindi

English

Indic

Indian

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Conversational Hindi And English Datasets in custom Domains Dataset on Opendatabay data marketplace

"No reviews yet"

£4,999

About

Dataset Title Conversational Audio Datasets (Transcribed) – Hindi, English & Indic Languages

Application This dataset is designed to support the development and improvement of speech and language AI systems. It is suitable for training, fine-tuning, and evaluating models that require high-quality conversational speech paired with accurate textual transcriptions.
  1. Primary use cases include:
  2. Automatic Speech Recognition (ASR)
  3. Conversational AI & Voice Assistants
  4. Multilingual & Indic-language NLP models
  5. Speech-to-Text systems
  6. LLM fine-tuning using aligned audio–text data
  7. Call-center analytics and voice intelligence

Coverage This dataset provides broad linguistic, geographic, and demographic coverage to ensure robustness and real-world applicability of AI models. Geographic Coverage
  1. India (primary)
  2. Region-specific and pan-India coverage
  3. Custom regional datasets available on request

Time Range
  1. Ongoing data collection
  2. Dataset includes recent conversational recordings collected within defined project timelines

Demographics (if applicable)
  1. Multiple age groups
  2. Mixed genders
  3. Diverse accents, dialects, and speaking styles
  4. Speakers from different socio-economic and professional backgrounds

Distribution The dataset is structured for easy integration into AI pipelines and large-scale training workflows. (A) Data Format
  1. Audio files: WAV / MP3 (high-quality, mono or stereo)
  2. Transcriptions: TXT / CSV / JSON
  3. Speaker metadata (where applicable)
  4. Optional time-aligned transcripts

(B) Data Volume
  1. Scalable dataset size
  2. Ranges from thousands to millions of utterances
  3. Custom volumes available based on client requirements

(C) Structure
  1. Audio file linked with corresponding transcript
  2. Speaker identifiers (optional)
  3. Language and dialect labels
  4. Timestamp alignment (optional)

Usage This dataset is ideal for organizations building or improving speech-enabled AI systems, particularly for Indian and multilingual markets. Ideal for:
  1. AI startups and enterprises
  2. Research institutions and universities
  3. Voice AI and speech technology companies
  4. Large Language Model developers
  5. Government and public-sector AI initiatives

LICENSE Proprietary License (<u>Voxiphy</u>) Commercial usage permitted under agreed terms. Redistribution and open publication are restricted unless explicitly authorized.

Listing Stats

VIEWS

27

DOWNLOADS

0

LISTED

04/02/2026

UPDATED

12/02/2026

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

Loading...

£4,999

Download Dataset in Unknown Format