README.md

---
license: cc-by-4.0
language:
- hi
- kn
- ta
- te
- ur
pretty_name: SeamlessAlign
extra_gated_fields:
  Name: text
  Email: text
  Affiliation: text
  Position: text
size_categories:
- 10K<n<100K
multilinguality:
- multilingual
dataset_info:
- config_name: indic2en
  features:
  - name: audio_filepath
    dtype: audio
  - name: text_lid_score
    dtype: string
  - name: laser_score
    dtype: string
  - name: text
    dtype: string
  - name: duration
    dtype: float64
  - name: transcription
    dtype: string
  - name: sonar_score
    dtype: float64
  splits:
  - name: hindi
    num_bytes: 601710273
    num_examples: 1021145
  - name: kannada
    num_bytes: 38444950
    num_examples: 68563
  - name: tamil
    num_bytes: 348770246
    num_examples: 478542
  - name: telugu
    num_bytes: 216133931
    num_examples: 329449
  - name: urdu
    num_bytes: 600628399
    num_examples: 1107620
  download_size: 2154999646
  dataset_size: 1805687799
configs:
- config_name: indic2en
  data_files:
  - split: hindi
    path: Indic-En/hin/train-*
  - split: kannada
    path: Indic-En/kan/train-*
  - split: tamil
    path: Indic-En/tam/train-*
  - split: telugu
    path: Indic-En/tel/train-*
  - split: urdu
    path: Indic-En/urd/train-*
---

# BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages

<div style="display: flex; gap: 5px;">
  <a href="https://github.com/AI4Bharat/BhasaAnuvaad"><img src="https://img.shields.io/badge/GITHUB-black?style=flat&logo=github&logoColor=white" alt="GitHub"></a>
  <a href="http://arxiv.org/abs/2411.04699"><img src="https://img.shields.io/badge/arXiv-2411.02538-red?style=flat" alt="ArXiv"></a>
  <a href="https://creativecommons.org/licenses/by/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg" alt="CC BY 4.0"></a>
</div>

## Dataset Description

- **Homepage:** [Bhasaanuvaad Collection](https://huggingface.co/collections/ai4bharat/bhasaanuvaad-672b3790b6470eab68b1cb87)
- **Repository:** [Github](https://github.com/AI4Bharat/BhasaAnuvaad)
- **Paper:** [BhasaAnuvaad: A Speech Translation Dataset for 13 Indian Languages
](https://arxiv.org/abs/2411.04699)


## Overview

BhasaAnuvaad, is the largest Indic-language AST dataset spanning over 44,400 hours of speech and 17M text segments for 13 of 22 scheduled Indian languages and English.

This repository consists of parallel data for Speech Translation from [SeamlessAlign](https://github.com/facebookresearch/seamless_communication/blob/main/docs/m4t/seamless_align_README.md), a subset of BhasaAnuvaad.

### How to use

The `datasets` library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the `load_dataset` function. 


- Before downloading first follow the following steps:

  1.  Gain access to the dataset and get the HF access token from: [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens).
  2.  Install dependencies and login HF:
       - Install Python
       - Run `pip install librosa soundfile datasets huggingface_hub[cli]`
       - Login by `huggingface-cli login` and paste the HF access token. Check [here](https://huggingface.co/docs/huggingface_hub/guides/cli#huggingface-cli-login) for details.

For example, to download the (indic2en or en2indic) config, simply specify the corresponding config name (i.e., "indic2en" for Hindi):

```python
from datasets import load_dataset
bhasaanuvaad = load_dataset("ai4bharat/SeamlessAlign", "indic2en", split="hindi")
```

Using the datasets library, you can also stream the dataset on-the-fly by adding a `streaming=True` argument to the `load_dataset` function call. Loading a dataset in streaming mode loads individual samples of the dataset at a time, rather than downloading the entire dataset to disk.
```python
from datasets import load_dataset
bhasaanuvaad = load_dataset("ai4bharat/SeamlessAlign", "indic2en", split="hindi", streaming=True)
print(next(iter(bhasaanuvaad)))
```

## Citation

If you use BhasaAnuvaad in your work, please cite us:

```bibtex
@article{jain2024bhasaanuvaad,
  title   = {BhasaAnuvaad: A Speech Translation Dataset for 14 Indian Languages},
  author  = {Sparsh Jain and Ashwin Sankar and Devilal Choudhary and Dhairya Suman and Nikhil Narasimhan and Mohammed Safi Ur Rahman Khan and Anoop Kunchukuttan and Mitesh M Khapra and Raj Dabre},
  year    = {2024},
  journal = {arXiv preprint arXiv: 2411.04699}
}
```

## License

This dataset is released under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).

## Contact

For any questions or feedback, please contact:
- Raj Dabre (raj.dabre@cse.iitm.ac.in)
- Sparsh Jain (sjshiva8287@gmail.com)
- Ashwin Sankar (ashwins1211@gmail.com)
- Nikhil Narasimhan (nikhil.narasimhan99@gmail.com)
- Mohammed Safi Ur Rahman Khan (safikhan2000@gmail.com)

Please contact us for any copyright concerns.

## Links

- [GitHub Repository 💻](https://github.com/AI4Bharat/BhasaAnuvaad.git)
- [Paper 📄](http://arxiv.org/abs/2411.04699)
- [Hugging Face Dataset 🤗](https://huggingface.co/collections/ai4bharat/bhasaanuvaad-672b3790b6470eab68b1cb87)