license: cc-by-4.0
language:
- hi
- en
tags:
- audio
- speech
- tts
- asr
- hinglish
- hindi
- indian-english
- text-to-speech
- automatic-speech-recognition
- code-switching
pretty_name: Hinglish Concatenated Audio Dataset
size_categories:
- 100K<n<1M
task_categories:
- automatic-speech-recognition
- text-to-speech
annotations_creators:
- expert-generated
- crowdsourced
language_creators:
- crowdsourced
- expert-generated
multilinguality:
- multilingual
Hinglish Concatenated Audio Dataset
A large-scale, cleaned and annotated speech dataset covering Hindi, Hinglish (Hindi–English code-switching), and Indian English — compiled from 14 public corpora and original custom recordings, unified into a single Parquet dataset with consistent schema.
At a Glance
| Stat | Value |
|---|---|
| Total clips | 815,171 |
| Total Estimated Hours | 2,264+ |
| Unique speakers | 6,304 |
| Raw audio size | ~243 GB |
| Languages | Hindi (hi), Hinglish (hi-en), Indian English (en-IN) |
| Format | Parquet with embedded audio (HF dataset viewer compatible) |
| Tasks | ASR, TTS fine-tuning, voice cloning, speech research |
Dataset Schema
| Column | Type | Description |
|---|---|---|
source |
string |
Speaker or source identifier |
text |
string |
Cleaned transcript (may include <hi-en> language tags) |
audio |
Audio |
WAV audio embedded in Parquet with native sample rate |
quality |
string |
Sample rate (Hz) or MOS quality score where available |
duration |
string |
Clip duration in seconds |
Source Breakdown
| Source Dataset | Clips | Description | License |
|---|---|---|---|
| NPTEL Hindi Spoken Tutorial | 521,028 | Educational lectures in Hindi — AI4Bharat / NPTEL | CC BY 4.0 |
| AI4Bharat Kathbath | 94,903 | Multi-speaker Hindi speech benchmark | CC BY 4.0 |
| AI4Bharat IndicTTS | 36,613 | Studio-quality Hindi TTS corpus | CC BY 4.0 |
| Hinglish — ujs | 25,378 | Code-switched Hindi–English speech | See source |
| Mozilla Common Voice 17 (Hindi) | 24,643 | Community-contributed Hindi speech | CC0 1.0 |
| AI4Bharat Mann Ki Baat | 22,483 | Broadcast Hindi speech, En-Indic aligned | CC BY 4.0 |
| Mann Ki Baat (English) | 22,477 | English side of Mann Ki Baat parallel corpus | CC BY 4.0 |
| Hindi Female Single Speaker HQ — Shekharmeena | 22,058 | High-quality single female speaker Hindi | See source |
| Orpheus TTS Indian English | 18,238 | Multi-speaker Indian English TTS | See source |
| Indic TTS Hindi — SPRINGLab | 11,825 | Multi-speaker Hindi TTS | CC BY 4.0 |
| Indian English — krishan23 | 6,765 | Indian-accented English speech | See source |
| Hinglish Test TTS — Shekharmeena | 3,136 | Custom Hinglish TTS recordings | See source |
| Custom female TTS recordings | 2,843 | Original studio recordings | CC BY 4.0 |
| Orpheus TTS Shaurya — prashantarya | 1,419 | Male Hindi/English TTS voice | See source |
| Anika Voice — Shekharmeena | ~5 | Custom female Hindi/Hinglish voice | See source |
| Total | 815,171 |
Curation & Processing
- All clips re-segmented to remove silence and cross-talk
- Transcripts normalised to Unicode NFC; language tags added (
<hi-en>for code-switched utterances) - Duplicate and near-duplicate clips removed
- Consistent CSV schema applied across all sources before concatenation
- Audio stored as WAV, original sample rates preserved
License
This dataset is released under Creative Commons Attribution 4.0 International (CC BY 4.0).
You are free to:
- Use for research, commercial, or personal projects
- Share and redistribute in any medium
- Build upon and adapt the data
Under these conditions:
- Attribution — Credit this dataset and link to the original source datasets listed above
- No misrepresentation — Do not use this data to generate non-consensual synthetic voices of real individuals, or for fraud, harassment, or disinformation
⚠️ Upstream licenses: Each constituent dataset retains its original license. Users are responsible for complying with the terms of the sources they use. Mozilla Common Voice is CC0; all AI4Bharat and SPRINGLab sources are CC BY 4.0. Sources marked "See source" should be checked individually.
Citation
If you use this dataset in your work, please cite it and the relevant upstream sources:
@dataset{agarwal2026hinglish,
author = {Agarwal, Ayushi},
title = {Hinglish Concatenated Audio Dataset},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/agarwalayushi/hinglish},
note = {Aggregated from Mozilla Common Voice, AI4Bharat (Kathbath, Mann Ki Baat,
Spoken Tutorial, IndicTTS), SPRINGLab IndicTTS, and custom recordings}
}
Contact
To report transcription errors, audio quality issues, or attribution concerns, please open a Discussion on this page.