---
license: cc-by-4.0
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- ta
- te
- en
pretty_name: NPTEL
extra_gated_fields:
  Name: text
  Email: text
  Affiliation: text
  Position: text
size_categories:
- 10K<n<100K
multilinguality:
- multilingual
dataset_info:
- config_name: en2indic
  features:
  - name: chunked_audio_filepath
    dtype: audio
  - name: text
    dtype: string
  - name: pred_text
    dtype: string
  - name: course_id
    dtype: string
  - name: video_id
    dtype: string
  - name: audio_filepath
    dtype: string
  - name: start_time
    dtype: float64
  - name: duration
    dtype: float64
  - name: alignment_score
    dtype: float64
  - name: hi_text
    dtype: string
  - name: hi_mining_score
    dtype: float64
  - name: gu_text
    dtype: string
  - name: gu_mining_score
    dtype: float64
  - name: mr_text
    dtype: string
  - name: mr_mining_score
    dtype: float64
  - name: ta_text
    dtype: string
  - name: ta_mining_score
    dtype: float64
  - name: kn_text
    dtype: string
  - name: kn_mining_score
    dtype: float64
  - name: te_text
    dtype: string
  - name: te_mining_score
    dtype: float64
  - name: ml_text
    dtype: string
  - name: ml_mining_score
    dtype: float64
  - name: pa_text
    dtype: string
  - name: pa_mining_score
    dtype: float64
  - name: or_text
    dtype: string
  - name: or_mining_score
    dtype: float64
  - name: bn_text
    dtype: string
  - name: bn_mining_score
    dtype: float64
  - name: as_text
    dtype: string
  - name: as_mining_score
    dtype: float64
  splits:
  - name: en2indic
    num_bytes: 55526811299.416
    num_examples: 1586872
  download_size: 45959084544
  dataset_size: 55526811299.416
- config_name: indic2en
  features:
  - name: chunked_audio_filepath
    dtype: audio
  - name: text
    dtype: string
  - name: pred_text
    dtype: string
  - name: course_id
    dtype: string
  - name: video_id
    dtype: string
  - name: audio_filepath
    dtype: string
  - name: start_time
    dtype: float64
  - name: duration
    dtype: float64
  - name: alignment_score
    dtype: float64
  - name: en_text
    dtype: string
  - name: en_mining_score
    dtype: float64
  splits:
  - name: assamese
    num_bytes: 5641197
    num_examples: 5731
  - name: bengali
    num_bytes: 153911157
    num_examples: 149086
  - name: gujarati
    num_bytes: 307555467
    num_examples: 300880
  - name: hindi
    num_bytes: 615054195
    num_examples: 521028
  - name: kannada
    num_bytes: 249177676
    num_examples: 219331
  - name: malayalam
    num_bytes: 350945469
    num_examples: 320242
  - name: marathi
    num_bytes: 294217612
    num_examples: 289652
  - name: tamil
    num_bytes: 583254616
    num_examples: 538750
  - name: telugu
    num_bytes: 340136633
    num_examples: 302087
  download_size: 4706779931
  dataset_size: 2899894022
configs:
- config_name: en2indic
  data_files:
  - split: en2indic
    path: En-Indic/train-*
- config_name: indic2en
  data_files:
  - split: assamese
    path: Indic-En/asm/train-*
  - split: bengali
    path: Indic-En/ben/train-*
  - split: gujarati
    path: Indic-En/guj/train-*
  - split: hindi
    path: Indic-En/hin/train-*
  - split: kannada
    path: Indic-En/kan/train-*
  - split: malayalam
    path: Indic-En/mal/train-*
  - split: marathi
    path: Indic-En/mar/train-*
  - split: tamil
    path: Indic-En/tam/train-*
  - split: telugu
    path: Indic-En/tel/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 [NPTEL](https://nptel.ac.in/), 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/NPTEL", "indic2en", split="hindi")
```
or 

```python
from datasets import load_dataset
bhasaanuvaad = load_dataset("ai4bharat/NPTEL", "en2indic", split="en2indic")
```

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/NPTEL", "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)