--- license: cc-by-4.0 dataset_info: - config_name: bengali features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 504592693.348 num_examples: 2236 - name: train num_bytes: 10549723915.202 num_examples: 47417 download_size: 10612705704 dataset_size: 11054316608.55 - config_name: gujarati features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 601696519.025 num_examples: 2905 - name: train num_bytes: 13993921234.065 num_examples: 66865 download_size: 13626742377 dataset_size: 14595617753.09 - config_name: hindi features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 523003024.987 num_examples: 3151 - name: train num_bytes: 15781038904.792 num_examples: 91752 download_size: 16551538917 dataset_size: 16304041929.779 - config_name: kannada features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 522038236.51 num_examples: 2062 - name: train num_bytes: 16172257527.024 num_examples: 67376 download_size: 17388350837 dataset_size: 16694295763.534 - config_name: malayalam features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 625514085.825 num_examples: 1767 - name: train num_bytes: 16096023229.681 num_examples: 45111 download_size: 16517196299 dataset_size: 16721537315.506 - config_name: marathi features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 496198197.3 num_examples: 2378 - name: train num_bytes: 18973729728.17 num_examples: 84070 download_size: 17965094715 dataset_size: 19469927925.469997 - config_name: odia features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 482391150.949 num_examples: 2397 - name: train num_bytes: 9408011576.581 num_examples: 47673 download_size: 9415392821 dataset_size: 9890402727.529999 - config_name: punjabi features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 566604245.824 num_examples: 3256 - name: train num_bytes: 14803191010.478 num_examples: 83298 download_size: 15030903648 dataset_size: 15369795256.302 - config_name: sanskrit features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 416145504.345 num_examples: 1177 - name: train num_bytes: 9064762640.04 num_examples: 26840 download_size: 9338073132 dataset_size: 9480908144.385 - config_name: tamil features: - name: fname dtype: string - name: text dtype: string - name: audio_filepath dtype: audio - name: lang dtype: string - name: duration dtype: float64 - name: gender dtype: string - name: speaker_id dtype: int64 splits: - name: valid num_bytes: 599717271.2 num_examples: 2770 - name: train num_bytes: 19703560527.896 num_examples: 95762 download_size: 21412884391 dataset_size: 20303277799.096 configs: - config_name: bengali data_files: - split: valid path: bengali/valid-* - split: train path: bengali/train-* - config_name: gujarati data_files: - split: valid path: gujarati/valid-* - split: train path: gujarati/train-* - config_name: hindi data_files: - split: valid path: hindi/valid-* - split: train path: hindi/train-* - config_name: kannada data_files: - split: valid path: kannada/valid-* - split: train path: kannada/train-* - config_name: malayalam data_files: - split: valid path: malayalam/valid-* - split: train path: malayalam/train-* - config_name: marathi data_files: - split: valid path: marathi/valid-* - split: train path: marathi/train-* - config_name: odia data_files: - split: valid path: odia/valid-* - split: train path: odia/train-* - config_name: punjabi data_files: - split: valid path: punjabi/valid-* - split: train path: punjabi/train-* - config_name: sanskrit data_files: - split: valid path: sanskrit/valid-* - split: train path: sanskrit/train-* - config_name: tamil data_files: - split: valid path: tamil/valid-* - split: train path: tamil/train-* --- # Dataset Card for Kathbath ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:https://ai4bharat.org/indic-superb** - **Repository:https://github.com/AI4Bharat/IndicSUPERB** - **Paper:https://arxiv.org/pdf/2208.11761.pdf** - **Point of Contact:tahirjmakhdoomi@gmail.com** ### Dataset Summary Kathbath is an human-labeled ASR dataset containing 1,684 hours of labelled speech data across 12 Indian languages from 1,218 contributors located in 203 districts in India ### Languages - Bengali - Gujarati - Kannada - Hindi - Malayalam - Marathi - Odia - Punjabi - Sanskrit - Tamil - Telugu - Urdu ## Dataset Structure ``` Audio Data data ├── bengali │ ├── │ │ ├── 844424931537866-594-f.m4a │ │ ├── 844424931029859-973-f.m4a │ │ ├── ... ├── gujarati ├── ... Transcripts data ├── bengali │ ├── │ │ ├── transcription_n2w.txt ├── gujarati ├── ... ``` ### Licensing Information The IndicSUPERB dataset is released under this licensing scheme: - We do not own any of the raw text used in creating this dataset. - The text data comes from the IndicCorp dataset which is a crawl of publicly available websites. - The audio transcriptions of the raw text and labelled annotations of the datasets have been created by us. - We license the actual packaging of all this data under the Creative Commons CC0 license (“no rights reserved”). - To the extent possible under law, AI4Bharat has waived all copyright and related or neighboring rights to the IndicSUPERB dataset. - This work is published from: India. ### Citation Information ``` @misc{https://doi.org/10.48550/arxiv.2208.11761, doi = {10.48550/ARXIV.2208.11761}, url = {https://arxiv.org/abs/2208.11761}, author = {Javed, Tahir and Bhogale, Kaushal Santosh and Raman, Abhigyan and Kunchukuttan, Anoop and Kumar, Pratyush and Khapra, Mitesh M.}, title = {IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages}, publisher = {arXiv}, year = {2022}, copyright = {arXiv.org perpetual, non-exclusive license} } ``` ### Contributions We would like to thank the Ministry of Electronics and Information Technology (MeitY) of the Government of India and the Centre for Development of Advanced Computing (C-DAC), Pune for generously supporting this work and providing us access to multiple GPU nodes on the Param Siddhi Supercomputer. We would like to thank the EkStep Foundation and Nilekani Philanthropies for their generous grant which went into hiring human resources as well as cloud resources needed for this work. We would like to thank DesiCrew for connecting us to native speakers for collecting data. We would like to thank Vivek Seshadri from Karya Inc. for helping setup the data collection infrastructure on the Karya platform. We would like to thank all the members of AI4Bharat team in helping create the Query by Example dataset.