---
language:
- kas
license: cc-by-4.0
task_categories:
- text-to-speech
pretty_name: Kashmiri TTS Dataset
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 8934131482
    num_examples: 33182
  - name: test
    num_bytes: 563990590
    num_examples: 2272
  - name: validation
    num_bytes: 1135150113
    num_examples: 4542
  download_size: 12692057127
  dataset_size: 10633272185
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
---

# Kashmiri TTS Dataset

[**Project Page**](https://gaash-lab.github.io/Bolbosh) | [**GitHub**](https://github.com/gaash-lab/Bolbosh) | [**Paper**](https://huggingface.co/papers/2603.07513)

## Overview
This dataset is the **Text-to-Speech (TTS) corpus for the Kashmiri language**, as presented in the paper "[Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech](https://huggingface.co/papers/2603.07513)".

The dataset is a **derived and curated combination** of Kashmiri speech data from the **IndicVoices-R** corpus and the **RASA** speech dataset. It was used to develop Bolbosh, an open-source neural TTS system designed to handle the specific orthographic and phonological challenges of the Kashmiri language.

---

## Data Sources and Attribution
This dataset is derived from the following resources:

### IndicVoices-R
- A large-scale multilingual speech corpus covering several Indic languages, including Kashmiri.
- Source: [AI4Bharat/IndicVoices](https://github.com/AI4Bharat/IndicVoices)
- License: CC BY 4.0

### RASA (Resource for Audio-visual Speech Analysis)
- A speech dataset supporting research in speech and language technologies.
- License: As provided by the original RASA dataset distribution.

**Note:** This dataset does not replace the original datasets. Users are encouraged to cite and respect the licenses of the original sources.

---

## Dataset Structure
The dataset follows the **Hugging Face `audiofolder` format**, enabling automatic audio playback and preview in the dataset viewer.

### Audio Specifications
- **Sampling Rate:** 22,050 Hz
- **Format:** mono (derived from studio and field recordings)

### Splits
| Split | Number of Utterances |
|---|---|
| **train** | 33,182 |
| **validation** | 4,542 |
| **test** | 2,272 |

## Citation
If you use this dataset or the Bolbosh system, please cite the following paper:
```bibtex
@article{ashraf2024bolbosh,
  title={Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech},
  author={Ashraf, Tajamul and Zargar, Burhaan Rasheed and Muizz, Saeed Abdul and Mushtaq, Ifrah and Mehdi, Nazima and Gillani, Iqra Altaf and Kak, Aadil Amin and Bashir, Janibul},
  journal={arXiv preprint arXiv:2603.07513},
  year={2024}
}
```