Devvrat024/Rural_Women_Bhojpuri

---
language:
- bho
- hi
license: cc-by-sa-4.0
task_categories:
- automatic-speech-recognition
pretty_name: Rural Bhojpuri ASR Dataset
dataset_info:
features:
- name: age_group
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: district
dtype: string
- name: duration
dtype: float64
- name: job_type
dtype: string
- name: lang
dtype: string
- name: language
dtype: string
- name: prompt_text
dtype: string
- name: qualification
dtype: string
- name: scenario
dtype: string
- name: speaker_id
dtype: string
- name: state
dtype: string
- name: task_name
dtype: string
- name: text
dtype: string
splits:
- name: benchmark
num_bytes: 400115473
num_examples: 444
- name: train_real
num_bytes: 460882675
num_examples: 400
- name: train_synthetic
num_bytes: 39573449568
num_examples: 77967
download_size: 34075320626
dataset_size: 40434447716
configs:
- config_name: default
data_files:
- split: benchmark
path: data/benchmark-*
- split: train_real
path: data/train_real-*
- split: train_synthetic
path: data/train_synthetic-*
---

# Rural Bhojpuri ASR Dataset

## Dataset Description

This dataset is curated to foster the development of inclusive Automatic Speech Recognition (ASR) systems, with a special focus on the underrepresented voices of rural Bhojpuri women. It contains audio clips in both Bhojpuri and Hindi, collected from real-world and synthetic sources, designed to train and evaluate ASR models that can accurately recognize diverse speech patterns.

This work is part of the research presented in the paper "Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women."

## How to Use

The dataset can be easily loaded using the Hugging Face `datasets` library.

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("ai4bharat/Rural__Women_Bhojpuri")

# Access a specific split
train_real_split = dataset["train_real"]

# Print the first example
print(train_real_split[0])

# The audio will be automatically decoded and resampled to 16kHz
# Example: {'audio': {'path': '...', 'array': array([-0.00024414, -0.00048828, ...], dtype=float32), 'sampling_rate': 16000}, 'text': '...', ...}

```

## Citation
If you use this dataset in your research, please cite the following paper:

```
@misc{joshi2025recognizingvoiceinclusiveasr,
title={Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women},
author={Sakshi Joshi and Eldho Ittan George and Tahir Javed and Kaushal Bhogale and Nikhil Narasimhan and Mitesh M. Khapra},
year={2025},
eprint={2506.09653},
archivePrefix={arXiv},
primaryClass={eess.AS},
url={[https://arxiv.org/abs/2506.09653](https://arxiv.org/abs/2506.09653)},
}
```