Datasets:

agarwalayushi
/

hinglish

@@ -13,95 +13,120 @@ tags:
 - indian-english
 - text-to-speech
 - automatic-speech-recognition
-pretty_name: Hinglish Audio Dataset
 size_categories:
-- 1K<n<10K
 task_categories:
 - automatic-speech-recognition
 - text-to-speech
 ---
 # Hinglish Concatenated Audio Dataset
-A large-scale, cleaned and annotated speech dataset covering **Hindi**, **Hinglish** (Hindi-English code-switching), and **Indian English** — compiled from multiple public sources and original custom recordings.
-Estimated size: **~1,600–2,200 hours of audio** (~237 GB of WAV).
 ---
-## Dataset Description
-This dataset is a concatenation and curation of several public and proprietary speech corpora, cleaned and re-annotated for consistency. It is intended for training and fine-tuning **TTS** (text-to-speech) and **ASR** (automatic speech recognition) models for Hindi, Hinglish, and Indian English.
-### What's inside
-| Column | Description |
-|--------|-------------|
-| `audio` | WAV audio (waveform + sample rate, embedded in Parquet) |
-| `transcription` | Cleaned text transcription |
-| *(other columns from source metadata)* | Speaker ID, gender, source, language tag, etc. |
 ---
-## Sources
-This dataset aggregates the following public datasets alongside original custom recordings:
-| Source | Description | License |
-|--------|-------------|---------|
-| [Mozilla Common Voice 17 (Hindi)](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) | Community-contributed Hindi speech | CC0 1.0 |
-| [Indic TTS Hindi — SPRINGLab](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) | Studio-quality Hindi TTS corpus | CC BY 4.0 |
-| [AI4Bharat Mann Ki Baat](https://huggingface.co/datasets/ai4bharat/Mann-ki-Baat) | Broadcast Hindi speech, En-Indic aligned | CC BY 4.0 |
-| [AI4Bharat Spoken Tutorial](https://huggingface.co/datasets/ai4bharat/Spoken-Tutorial) | Educational Hindi speech | CC BY 4.0 |
-| [AI4Bharat Kathbath](https://huggingface.co/datasets/ai4bharat/Kathbath) | Multi-speaker Hindi speech benchmark | CC BY 4.0 |
-| [Hinglish Compressed — ujs](https://huggingface.co/datasets/ujs/hinglish-compressed) | Code-switched Hindi-English speech | See source |
-| [Hinglish Test TTS — Shekharmeena](https://huggingface.co/datasets/Shekharmeena/hinglish-test-tts) | Custom Hinglish TTS recordings | See source |
-| [Hindi Female Single Speaker HQ — Shekharmeena](https://huggingface.co/datasets/Shekharmeena/Hindi-Female-Single-Speaker-High-Quality-Speech) | High-quality female Hindi speech | See source |
-| [Anika Voice — Shekharmeena](https://huggingface.co/datasets/Shekharmeena/Anika-voice) | Custom female Hindi/Hinglish voice | See source |
-| [Indian English — krishan23](https://huggingface.co/datasets/krishan23/indian_english) | Indian-accented English speech | See source |
-| [Orpheus TTS Indian English Multispeaker — ar17to](https://huggingface.co/datasets/ar17to/orpheus_tts_english_indian_multispeaker) | Multi-speaker Indian English | See source |
-| [Orpheus TTS Indian English Male Malayalam — ar17to](https://huggingface.co/datasets/ar17to/orpheus_tts_english_indian_male_malyalam_full) | Indian English male (Malayalam accent) | See source |
-| [Orpheus TTS Shaurya — prashantarya](https://huggingface.co/datasets/prashantarya/orpheus-tts-Shaurya-dataset) | Male Hindi/English TTS voice | See source |
-| [Orpheus TTS Indian English Female — ar17to](https://huggingface.co/datasets/ar17to/orpheus_tts_english_indian_female) | Female Indian English TTS voice | See source |
-| **Custom recordings** | Original studio and field recordings collected by the dataset author | CC BY 4.0 |
 ---
 ## 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** — copy and redistribute in any medium or format
-- **Adapt** — remix, transform, and build upon the data
-Under the following terms:
-- **Attribution** — You must give appropriate credit to this dataset **and** to the original source datasets listed above. A link to this page and to the individual source dataset pages is sufficient.
-- **No misrepresentation** — You may not use the data to train models that misrepresent speakers, generate non-consensual synthetic voices of real individuals, or engage in harassment, fraud, or disinformation.
-> **Note:** Some constituent datasets carry their own licenses (listed above). Users are responsible for complying with the terms of each source dataset that applies to their use case. The most restrictive license among the public sources is **CC BY 4.0**.
 ---
 ## Citation
-If you use this dataset, please cite it along with the original sources:
 ```bibtex
-@dataset{agarwalayushi_hinglish_2026,
   author    = {Agarwal, Ayushi},
   title     = {Hinglish Concatenated Audio Dataset},
   year      = {2026},
   publisher = {Hugging Face},
-  url       = {https://huggingface.co/datasets/agarwalayushi/hinglish}
 }
 ```
-Please also cite the upstream datasets you use — links are provided in the Sources table above.
 ---
 ## Contact
-For questions or to report issues with transcriptions or audio quality, open a discussion on this dataset page.

 - 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 |
+| **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](https://huggingface.co/datasets/ai4bharat/Spoken-Tutorial) | 521,028 | Educational lectures in Hindi — AI4Bharat / NPTEL | CC BY 4.0 |
+| [AI4Bharat Kathbath](https://huggingface.co/datasets/ai4bharat/Kathbath) | 94,903 | Multi-speaker Hindi speech benchmark | CC BY 4.0 |
+| [AI4Bharat IndicTTS](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) | 36,613 | Studio-quality Hindi TTS corpus | CC BY 4.0 |
+| [Hinglish — ujs](https://huggingface.co/datasets/ujs/hinglish-compressed) | 25,378 | Code-switched Hindi–English speech | See source |
+| [Mozilla Common Voice 17 (Hindi)](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) | 24,643 | Community-contributed Hindi speech | CC0 1.0 |
+| [AI4Bharat Mann Ki Baat](https://huggingface.co/datasets/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](https://huggingface.co/datasets/Shekharmeena/Hindi-Female-Single-Speaker-High-Quality-Speech) | 22,058 | High-quality single female speaker Hindi | See source |
+| [Orpheus TTS Indian English](https://huggingface.co/datasets/ar17to/orpheus_tts_english_indian_multispeaker) | 18,238 | Multi-speaker Indian English TTS | See source |
+| [Indic TTS Hindi — SPRINGLab](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) | 11,825 | Multi-speaker Hindi TTS | CC BY 4.0 |
+| [Indian English — krishan23](https://huggingface.co/datasets/krishan23/indian_english) | 6,765 | Indian-accented English speech | See source |
+| [Hinglish Test TTS — Shekharmeena](https://huggingface.co/datasets/Shekharmeena/hinglish-test-tts) | 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](https://huggingface.co/datasets/prashantarya/orpheus-tts-Shaurya-dataset) | 1,419 | Male Hindi/English TTS voice | See source |
+| [Anika Voice — Shekharmeena](https://huggingface.co/datasets/Shekharmeena/Anika-voice) | ~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)](https://creativecommons.org/licenses/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:
 ```bibtex
+@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](https://huggingface.co/datasets/agarwalayushi/hinglish/discussions) on this page.