--- license: cc-by-4.0 dataset_info: - config_name: assamese features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 5082850536.85 num_examples: 41766 download_size: 5229826172 dataset_size: 5082850536.85 - config_name: bengali features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 1970326408.576 num_examples: 17882 download_size: 1916156215 dataset_size: 1970326408.576 - config_name: dogri features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 3603495138.825 num_examples: 23721 download_size: 3568871899 dataset_size: 3603495138.825 - config_name: gujarati features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 16321596906.35 num_examples: 137965 download_size: 17665902401 dataset_size: 16321596906.35 - config_name: hindi features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 97821772346.85 num_examples: 734675 download_size: 94834500694 dataset_size: 97821772346.85 - config_name: kannada features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 20069410879.104 num_examples: 192208 download_size: 21641876571 dataset_size: 20069410879.104 - config_name: konkani features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 1246784105.294 num_examples: 12239 download_size: 1239977556 dataset_size: 1246784105.294 - config_name: maithili features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 2985296990.293 num_examples: 22233 download_size: 2895972814 dataset_size: 2985296990.293 - config_name: malayalam features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 17608171088.553 num_examples: 224323 download_size: 19431260422 dataset_size: 17608171088.553 - config_name: marathi features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 42353055748.775 num_examples: 336475 download_size: 38603401934 dataset_size: 42353055748.775 - config_name: nepali features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 5214995797.048 num_examples: 31997 download_size: 4990235585 dataset_size: 5214995797.048 - config_name: odia features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 12687640571.75 num_examples: 126675 download_size: 16473690962 dataset_size: 12687640571.75 - config_name: punjabi features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 3054398341.146 num_examples: 21118 download_size: 3181612927 dataset_size: 3054398341.146 - config_name: sanskrit features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 2036760741.337 num_examples: 14177 download_size: 2036474974 dataset_size: 2036760741.337 - config_name: tamil features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 33855148157.352 num_examples: 281508 download_size: 31654328747 dataset_size: 33855148157.352 - config_name: telugu features: - name: audio_filepath dtype: audio - name: text dtype: string - name: duration dtype: float64 - name: lang dtype: string splits: - name: train num_bytes: 5722466966.018 num_examples: 56082 download_size: 5886818756 dataset_size: 5722466966.018 configs: - config_name: assamese data_files: - split: train path: assamese/train-* - config_name: bengali data_files: - split: train path: bengali/train-* - config_name: dogri data_files: - split: train path: dogri/train-* - config_name: gujarati data_files: - split: train path: gujarati/train-* - config_name: hindi data_files: - split: train path: hindi/train-* - config_name: kannada data_files: - split: train path: kannada/train-* - config_name: konkani data_files: - split: train path: konkani/train-* - config_name: maithili data_files: - split: train path: maithili/train-* - config_name: malayalam data_files: - split: train path: malayalam/train-* - config_name: marathi data_files: - split: train path: marathi/train-* - config_name: nepali data_files: - split: train path: nepali/train-* - config_name: odia data_files: - split: train path: odia/train-* - config_name: punjabi data_files: - split: train path: punjabi/train-* - config_name: sanskrit data_files: - split: train path: sanskrit/train-* - config_name: tamil data_files: - split: train path: tamil/train-* - config_name: telugu data_files: - split: train path: telugu/train-* --- # Shrutilipi
GitHub ArXiv CC BY 4.0
## Dataset Description - **Homepage:** [Shrutilipi](https://huggingface.co/datasets/ai4bharat/Shrutilipi) - **Repository:** [Github](https://github.com/AI4Bharat/shrutilipi) - **Paper:** [Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages](https://arxiv.org/abs/2208.12666) ## Overview Shrutilipi is a labelled ASR corpus obtained by mining parallel audio and text pairs at the document scale from All India Radio news bulletins for 12 Indian languages: Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Sanskrit, Tamil, Telugu, Urdu. The corpus has over 6400 hours of data across all languages. This work is funded by Bhashini, MeitY and Nilekani Philanthropies ## Usage The [datasets](https://huggingface.co/docs/datasets) library enables you to load and preprocess the dataset directly in Python. Ensure you have an active HuggingFace access token (obtainable from [Hugging Face settings](https://huggingface.co/settings/tokens)) before proceeding. To load the dataset, run: ```python from datasets import load_dataset # Load the dataset from the HuggingFace Hub dataset = load_dataset("ai4bharat/Shrutilipi","bengali",split="train") # Check the dataset structure print(dataset) ``` You can also stream the dataset by enabling the `streaming=True` flag: ```python from datasets import load_dataset dataset = load_dataset("ai4bharat/Shrutilipi","bengali",split="train", streaming=True) print(next(iter(dataset))) ``` ## Citation If you use Shrutilipi in your work, please cite us: ```bibtex @inproceedings{DBLP:conf/icassp/BhogaleRJDKKK23, author = {Kaushal Santosh Bhogale and Abhigyan Raman and Tahir Javed and Sumanth Doddapaneni and Anoop Kunchukuttan and Pratyush Kumar and Mitesh M. Khapra}, title = {Effectiveness of Mining Audio and Text Pairs from Public Data for Improving {ASR} Systems for Low-Resource Languages}, booktitle = {{ICASSP}}, pages = {1--5}, publisher = {{IEEE}}, year = {2023} } ``` ## 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: - Kaushal Bhogale (kaushal98b@gmail.com)