Skip to content

HF_README.md

Latest commit

 

History

History
133 lines (107 loc) · 5.87 KB

HF_README.md

File metadata and controls

133 lines (107 loc) · 5.87 KB
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 duration ~2,500 hours
Unique speakers 6,304
Raw audio size ~237 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.