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metadata
dataset_info:
  - config_name: audio/Angika
    features:
      - name: audio
        dtype: audio
      - name: speakerID
        dtype: string
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  - config_name: audio/Awadhi
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  - config_name: audio/Bajjika
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  - config_name: audio/Bearybashe
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  - config_name: audio/Bengali
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    download_size: 6175765045
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  - config_name: audio/Bhojpuri
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    download_size: 1563482092
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  - config_name: audio/Bundeli
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  - config_name: audio/Chhattisgarhi
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  - config_name: audio/Garhwali
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  - config_name: audio/Halbi
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  - config_name: audio/Hindi
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  - config_name: audio/Kannada
    features:
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  - config_name: audio/Khariboli
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  - config_name: audio/Khortha
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  - config_name: audio/Konkani
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  - config_name: audio/Kumaoni
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  - config_name: audio/Kurukh
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  - config_name: audio/Magahi
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  - config_name: audio/Maithili
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  - config_name: audio/Malvani
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  - config_name: audio/Marathi
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  - config_name: audio/Marwari
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  - config_name: audio/Rajasthani
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  - config_name: audio/Sadri
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  - config_name: audio/Surgujia
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  - config_name: audio/Surjapuri
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  - config_name: audio/Tamil
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        dtype: audio
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        dtype: string
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    download_size: 33506133
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  - config_name: audio/Telugu
    features:
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        dtype: audio
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        dtype: string
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  - config_name: audio/Tulu
    features:
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        dtype: audio
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        dtype: string
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    download_size: 195586792
    dataset_size: 201859886
configs:
  - config_name: Bajjika
    data_files:
      - split: train
        path: audio/Bajjika/train-*
      - split: validation
        path: audio/Bajjika/validation-*
      - split: test
        path: audio/Bajjika/test-*
  - config_name: Bengali
    data_files:
      - split: train
        path: audio/Bengali/train-*
      - split: validation
        path: audio/Bengali/validation-*
      - split: test
        path: audio/Bengali/test-*
  - config_name: Bhojpuri
    data_files:
      - split: train
        path: audio/Bhojpuri/train-*
      - split: validation
        path: audio/Bhojpuri/validation-*
      - split: test
        path: audio/Bhojpuri/test-*
  - config_name: Hindi
    data_files:
      - split: train
        path: audio/Hindi/train-*
      - split: validation
        path: audio/Hindi/validation-*
      - split: test
        path: audio/Hindi/test-*
  - config_name: Kannada
    data_files:
      - split: train
        path: audio/Kannada/train-*
      - split: validation
        path: audio/Kannada/validation-*
      - split: test
        path: audio/Kannada/test-*
  - config_name: Kurukh
    data_files:
      - split: train
        path: audio/Kurukh/train-*
      - split: validation
        path: audio/Kurukh/validation-*
      - split: test
        path: audio/Kurukh/test-*
  - config_name: Maithili
    data_files:
      - split: train
        path: audio/Maithili/train-*
      - split: validation
        path: audio/Maithili/validation-*
      - split: test
        path: audio/Maithili/test-*
  - config_name: Marathi
    data_files:
      - split: train
        path: audio/Marathi/train-*
      - split: validation
        path: audio/Marathi/validation-*
      - split: test
        path: audio/Marathi/test-*
  - config_name: Tulu
    data_files:
      - split: train
        path: audio/Tulu/train-*
      - split: validation
        path: audio/Tulu/validation-*
      - split: test
        path: audio/Tulu/test-*
  - config_name: Angika
    data_files:
      - split: train
        path: audio/Angika/train-*
      - split: validation
        path: audio/Angika/validation-*
      - split: test
        path: audio/Angika/test-*
  - config_name: Awadhi
    data_files:
      - split: train
        path: audio/Awadhi/train-*
      - split: validation
        path: audio/Awadhi/validation-*
      - split: test
        path: audio/Awadhi/test-*
  - config_name: Bearybashe
    data_files:
      - split: train
        path: audio/Bearybashe/train-*
      - split: validation
        path: audio/Bearybashe/validation-*
      - split: test
        path: audio/Bearybashe/test-*
  - config_name: Bundeli
    data_files:
      - split: train
        path: audio/Bundeli/train-*
      - split: validation
        path: audio/Bundeli/validation-*
      - split: test
        path: audio/Bundeli/test-*
  - config_name: Chhattisgarhi
    data_files:
      - split: train
        path: audio/Chhattisgarhi/train-*
      - split: validation
        path: audio/Chhattisgarhi/validation-*
      - split: test
        path: audio/Chhattisgarhi/test-*
  - config_name: Garhwali
    data_files:
      - split: train
        path: audio/Garhwali/train-*
      - split: validation
        path: audio/Garhwali/validation-*
      - split: test
        path: audio/Garhwali/test-*
  - config_name: Halbi
    data_files:
      - split: train
        path: audio/Halbi/train-*
      - split: validation
        path: audio/Halbi/validation-*
      - split: test
        path: audio/Halbi/test-*
  - config_name: Khariboli
    data_files:
      - split: train
        path: audio/Khariboli/train-*
      - split: validation
        path: audio/Khariboli/validation-*
      - split: test
        path: audio/Khariboli/test-*
  - config_name: Khortha
    data_files:
      - split: train
        path: audio/Khortha/train-*
      - split: validation
        path: audio/Khortha/validation-*
      - split: test
        path: audio/Khortha/test-*
  - config_name: Konkani
    data_files:
      - split: train
        path: audio/Konkani/train-*
      - split: validation
        path: audio/Konkani/validation-*
      - split: test
        path: audio/Konkani/test-*
  - config_name: Kumaoni
    data_files:
      - split: train
        path: audio/Kumaoni/train-*
      - split: validation
        path: audio/Kumaoni/validation-*
      - split: test
        path: audio/Kumaoni/test-*
  - config_name: Magahi
    data_files:
      - split: train
        path: audio/Magahi/train-*
      - split: validation
        path: audio/Magahi/validation-*
      - split: test
        path: audio/Magahi/test-*
  - config_name: Malvani
    data_files:
      - split: train
        path: audio/Malvani/train-*
      - split: validation
        path: audio/Malvani/validation-*
      - split: test
        path: audio/Malvani/test-*
  - config_name: Marwari
    data_files:
      - split: train
        path: audio/Marwari/train-*
      - split: validation
        path: audio/Marwari/validation-*
      - split: test
        path: audio/Marwari/test-*
  - config_name: Rajasthani
    data_files:
      - split: train
        path: audio/Rajasthani/train-*
      - split: validation
        path: audio/Rajasthani/validation-*
      - split: test
        path: audio/Rajasthani/test-*
  - config_name: Sadri
    data_files:
      - split: train
        path: audio/Sadri/train-*
      - split: validation
        path: audio/Sadri/validation-*
      - split: test
        path: audio/Sadri/test-*
  - config_name: Surgujia
    data_files:
      - split: train
        path: audio/Surgujia/train-*
      - split: validation
        path: audio/Surgujia/validation-*
      - split: test
        path: audio/Surgujia/test-*
  - config_name: Surjapuri
    data_files:
      - split: train
        path: audio/Surjapuri/train-*
      - split: validation
        path: audio/Surjapuri/validation-*
      - split: test
        path: audio/Surjapuri/test-*
  - config_name: Tamil
    data_files:
      - split: train
        path: audio/Tamil/train-*
      - split: validation
        path: audio/Tamil/validation-*
      - split: test
        path: audio/Tamil/test-*
  - config_name: Telugu
    data_files:
      - split: train
        path: audio/Telugu/train-*
      - split: validation
        path: audio/Telugu/validation-*
      - split: test
        path: audio/Telugu/test-*
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
language:
  - hi
  - kn
  - te
  - bn
  - ta
  - gu

This dataset is part of the Vaani dataset and consists of only transcribed speech data. It has a total duration of 556 hours, covering 42 languages.

Language Duration(Hrs) Language Duration(Hrs) Language Duration(Hrs)
Angika 2.79 Awadhi 0.13 Bagri 0.06
Bajjika 3.17 Bearybashe 0.14 Bengali 55.05
Bhatri 0.05 Bhili 0.06 Bhojpuri 13.66
Bundeli 0.57 Chhattisgarhi 11.62 Garhwali 3.23
Gondi 0.13 Gujarati 0.01 Halbi 1.19
Harauti 0.02 Hindi 292.49 Jaipuri 0.19
Kannada 58.96 Khari boli 1.38 Khortha 1.22
Konkani 2.9 Kumaoni 2.21 Kurukh 0.11
Kurumali 0.03 Magahi 4.92 Maithili 13.88
Malvani 0.94 Marathi 36.85 Marwari 6.21
Mewari 0.08 Nagpuri 0.16 Nepali <0.01
Rajasthani 3.86 Sadri 0.24 Shekhawati 0.08
Surgujia 0.22 Surjapuri 0.04 Tamil 0.31
Telugu 35.21 Tulu 1.74 Urdu 0.2

How to use the data

You can load the dataset using the load_dataset function from the datasets library. When loading the dataset, you can specify which Language you would like to access. Additionally, you will need to use an access token, which you can obtain here, to access the dataset.

from datasets import load_dataset
dataset_subset = load_dataset("ARTPARK-IISc/Vaani-transcription-part", "Angika",token=<access_token>)