| --- |
| license: cc-by-4.0 |
| language: |
| - as |
| - bn |
| - gu |
| - hi |
| - kn |
| - ml |
| - mr |
| - ne |
| - sa |
| - or |
| - pa |
| - ta |
| - te |
| pretty_name: Spoken-Tutorial |
| 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: chunked_audio_filepath |
| dtype: audio |
| - name: text |
| dtype: string |
| - name: pred_text |
| dtype: string |
| - name: audio_filepath |
| dtype: string |
| - name: start_time |
| dtype: float64 |
| - name: duration |
| dtype: float64 |
| - name: alignment_score |
| dtype: float64 |
| - name: video_id |
| dtype: string |
| - name: en_mining_score |
| dtype: float64 |
| - name: en_text |
| dtype: string |
| splits: |
| - name: assamese |
| num_bytes: 343067051.822 |
| num_examples: 12274 |
| - name: bengali |
| num_bytes: 499502972.554 |
| num_examples: 30197 |
| - name: gujarati |
| num_bytes: 678996297.963 |
| num_examples: 34647 |
| - name: hindi |
| num_bytes: 648813013.415 |
| num_examples: 36613 |
| - name: kannada |
| num_bytes: 243536824.95 |
| num_examples: 15066 |
| - name: malayalam |
| num_bytes: 229315194.4 |
| num_examples: 13700 |
| - name: marathi |
| num_bytes: 674304759.6 |
| num_examples: 42211 |
| - name: nepali |
| num_bytes: 661894761.432 |
| num_examples: 1088 |
| - name: odia |
| num_bytes: 57624292.742 |
| num_examples: 3317 |
| - name: punjabi |
| num_bytes: 157501608.72 |
| num_examples: 8864 |
| - name: sanskrit |
| num_bytes: 163037453.8 |
| num_examples: 7800 |
| - name: tamil |
| num_bytes: 836957381.624 |
| num_examples: 35702 |
| - name: telugu |
| num_bytes: 126877236.203 |
| num_examples: 6257 |
| download_size: 4666468514 |
| dataset_size: 5923297849.225 |
| configs: |
| - 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: odia |
| path: Indic-En/ory/train-* |
| - split: punjabi |
| path: Indic-En/pan/train-* |
| - split: sanskrit |
| path: Indic-En/san/train-* |
| - split: nepali |
| path: Indic-En/npi/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 [Spoken-Tutorial](https://www.youtube.com/@SpokenTutorialIITB) youtube channel, 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/Spoken-Tutorial", "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/Spoken-Tutorial", "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 :computer:](https://github.com/AI4Bharat/BhasaAnuvaad.git) |
| - [Paper :page_facing_up:](http://arxiv.org/abs/2411.04699) |
| - [Hugging Face Dataset :hugging_face:](https://huggingface.co/collections/ai4bharat/bhasaanuvaad-672b3790b6470eab68b1cb87) |
