metadata

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
Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

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:[email protected]

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
│   ├── <split_name>
│   │   ├── 844424931537866-594-f.m4a
│   │   ├── 844424931029859-973-f.m4a
│   │   ├── ...
├── gujarati
├── ...


Transcripts
data
├── bengali
│   ├── <split_name>
│   │   ├── 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.