Datasets:

Modalities:
Audio
Text
Formats:
parquet
Languages:
Kashmiri
ArXiv:
License:
Bolbosh / README.md
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---
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}
}
```