README.md

metadata

extra_gated_fields:
  First Name: text
  Last Name: text
  Country: country
  Company: text
  I want to use this dataset for:
    type: select
    options:
      - Research
      - Academic
      - Commercial
      - Education
dataset_info:
  - config_name: audio/AndhraPradesh/Anantpur
    features:
      - name: audio
        dtype: audio
      - name: language
        dtype: string
      - name: duration
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      - name: speakerID
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      - name: languagesKnown
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      - name: gender
        dtype: string
      - name: state
        dtype: string
      - name: district
        dtype: string
      - name: pincode
        dtype: int64
      - name: stay(years)
        dtype: string
      - name: isTranscriptionAvailable
        dtype: string
      - name: transcript
        dtype: string
      - name: referenceImage
        dtype: string
      - name: speakerImageHash
        dtype: string
      - name: UtteranceSequenceID
        dtype: int64
    splits:
      - name: train
        num_bytes: 25275171833.264
        num_examples: 114432
    download_size: 24910131472
    dataset_size: 25275171833.264
  - config_name: audio/AndhraPradesh/Annamaya
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      - name: audio
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      - name: language
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      - name: duration
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      - name: speakerID
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      - name: languagesKnown
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      - name: gender
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      - name: state
        dtype: string
      - name: district
        dtype: string
      - name: pincode
        dtype: int64
      - name: stay(years)
        dtype: string
      - name: isTranscriptionAvailable
        dtype: string
      - name: transcript
        dtype: string
      - name: referenceImage
        dtype: string
      - name: speakerImageHash
        dtype: string
      - name: UtteranceSequenceID
        dtype: int64
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        num_examples: 60274
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  - config_name: audio/AndhraPradesh/Chittoor
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      - name: gender
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      - name: state
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      - name: district
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      - name: pincode
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      - name: stay(years)
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      - name: isTranscriptionAvailable
        dtype: string
      - name: transcript
        dtype: string
      - name: referenceImage
        dtype: string
      - name: speakerImageHash
        dtype: string
      - name: UtteranceSequenceID
        dtype: int64
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        num_examples: 119040
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  - config_name: audio/AndhraPradesh/Guntur
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      - name: pincode
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      - name: transcript
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      - name: referenceImage
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      - name: speakerImageHash
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      - name: UtteranceSequenceID
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  - config_name: audio/AndhraPradesh/Krishna
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  - config_name: audio/AndhraPradesh/Manyam
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  - config_name: audio/AndhraPradesh/SriSatyaSai
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  - config_name: audio/AndhraPradesh/Srikakulam
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  - config_name: audio/AndhraPradesh/Vishakapattanam
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  - config_name: audio/ArunachalPradesh/Longding
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  - config_name: audio/ArunachalPradesh/LowerDibangvalley
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  - config_name: audio/ArunachalPradesh/PapumPare
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  - config_name: audio/Assam/Hailakandi
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  - config_name: audio/Assam/KamrupMetropolitan
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  - config_name: audio/Assam/KarbiAnglong
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  - config_name: audio/Assam/Sonitpur
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  - config_name: audio/Bihar/Araria
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  - config_name: audio/Bihar/Begusarai
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  - config_name: audio/Bihar/Bhagalpur
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  - config_name: audio/Bihar/Darbhanga
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  - config_name: audio/Bihar/EastChamparan
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  - config_name: audio/Bihar/Gaya
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  - config_name: audio/Bihar/Gopalganj
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  - config_name: audio/Bihar/Jahanabad
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  - config_name: audio/Bihar/Jamui
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  - config_name: audio/Bihar/Kaimur
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  - config_name: audio/Karnataka/Chamarajanagar
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  - config_name: audio/Karnataka/DakshinaKannada
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  - config_name: audio/Kerala/Kasaragod
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  - config_name: audio/MadhyaPradesh/Bhopal
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  - config_name: audio/MadhyaPradesh/Dhar
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  - config_name: audio/MadhyaPradesh/Katni
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  - config_name: audio/MadhyaPradesh/Umaria
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  - config_name: audio/Maharashtra/Aurangabad
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  - config_name: audio/Maharashtra/Chandrapur
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  - config_name: audio/Maharashtra/Dhule
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  - config_name: audio/Maharashtra/Mumbaisuburban
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  - config_name: audio/Maharashtra/Nagpur
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  - config_name: audio/Maharashtra/Pune
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  - config_name: audio/Maharashtra/Solapur
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  - config_name: audio/Maharashtra/Washim
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  - config_name: audio/Manipur/ImphalWest
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  - config_name: audio/WestBengal/Jhargram
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  - config_name: audio/WestBengal/Kolkata
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  - config_name: audio/WestBengal/Malda
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  - config_name: audio/WestBengal/North24Parganas
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  - config_name: audio/WestBengal/PaschimMedinipur
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  - config_name: audio/WestBengal/Purulia
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  - config_name: images
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configs:
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  - config_name: AndhraPradesh_Annamaya
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        path: audio/AndhraPradesh/Annamaya/train-*
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        path: audio/AndhraPradesh/Chittoor/train-*
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        path: audio/AndhraPradesh/Guntur/train-*
  - config_name: AndhraPradesh_Krishna
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        path: audio/AndhraPradesh/Krishna/train-*
  - config_name: AndhraPradesh_Manyam
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        path: audio/AndhraPradesh/Manyam/train-*
  - config_name: AndhraPradesh_SriSatyaSai
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        path: audio/AndhraPradesh/SriSatyaSai/train-*
  - config_name: AndhraPradesh_Srikakulam
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        path: audio/AndhraPradesh/Srikakulam/train-*
  - config_name: AndhraPradesh_Vishakapattanam
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  - config_name: ArunachalPradesh_Longding
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  - config_name: ArunachalPradesh_LowerDibangvalley
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        path: audio/ArunachalPradesh/LowerDibangvalley/train-*
  - config_name: ArunachalPradesh_PapumPare
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        path: audio/ArunachalPradesh/PapumPare/train-*
  - config_name: Assam_Hailakandi
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        path: audio/Assam/Hailakandi/train-*
  - config_name: Assam_KamrupMetropolitan
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  - config_name: Assam_KarbiAnglong
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  - config_name: Assam_Sonitpur
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        path: audio/Assam/Sonitpur/train-*
  - config_name: Bihar_Araria
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  - config_name: Bihar_Begusarai
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  - config_name: Bihar_Bhagalpur
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        path: audio/Bihar/Bhagalpur/train-*
  - config_name: Bihar_Darbhanga
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  - config_name: Bihar_EastChamparan
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  - config_name: Bihar_Gaya
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  - config_name: Bihar_Gopalganj
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  - config_name: Bihar_Jahanabad
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  - config_name: Bihar_Jamui
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  - config_name: Bihar_Kishanganj
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  - config_name: Bihar_Lakhisarai
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        path: audio/Bihar/Lakhisarai/train-*
  - config_name: Bihar_Madhepura
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  - config_name: Bihar_Muzaffarpur
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  - config_name: Bihar_Patna
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  - config_name: Bihar_Purnia
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  - config_name: Bihar_Saran
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  - config_name: Bihar_Sitamarhi
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  - config_name: Bihar_Supaul
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  - config_name: Bihar_Vaishali
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        path: audio/Bihar/Vaishali/train-*
  - config_name: Bihar_WestChamparan
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  - config_name: Chandigarh_Chandigarh
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        path: audio/Chandigarh/Chandigarh/train-*
  - config_name: Chhattisgarh_Balrampur
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  - config_name: Chhattisgarh_Bastar
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  - config_name: Chhattisgarh_Bilaspur
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        path: audio/Chhattisgarh/Bilaspur/train-*
  - config_name: Chhattisgarh_Jashpur
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  - config_name: Chhattisgarh_Korba
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  - config_name: Chhattisgarh_Koriya
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  - config_name: Chhattisgarh_Narayanpur
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  - config_name: Chhattisgarh_Raigarh
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  - config_name: Chhattisgarh_Raipur
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  - config_name: Chhattisgarh_Rajnandgaon
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  - config_name: Chhattisgarh_Sarguja
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  - config_name: Chhattisgarh_Sukma
    data_files:
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  - config_name: Delhi_NewDelhi
    data_files:
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  - config_name: Goa_NorthSouthGoa
    data_files:
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  - config_name: Gujarat_DevbhoomiDwarka
    data_files:
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  - config_name: Gujarat_Gandhinagar
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  - config_name: Gujarat_Navsari
    data_files:
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  - config_name: Gujarat_Valsad
    data_files:
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  - config_name: Haryana_CharkhiDadri
    data_files:
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        path: audio/Haryana/CharkhiDadri/train-*
  - config_name: Haryana_Jhajjar
    data_files:
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  - config_name: Haryana_Rohtak
    data_files:
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  - config_name: HimachalPradesh_Shimla
    data_files:
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        path: audio/HimachalPradesh/Shimla/train-*
  - config_name: JammuAndKashmir_Srinagar
    data_files:
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        path: audio/JammuAndKashmir/Srinagar/train-*
  - config_name: Jharkhand_Deoghar
    data_files:
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        path: audio/Jharkhand/Deoghar/train-*
  - config_name: Jharkhand_Garhwa
    data_files:
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  - config_name: Jharkhand_Jamtara
    data_files:
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  - config_name: Jharkhand_Palamu
    data_files:
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  - config_name: Jharkhand_Ranchi
    data_files:
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        path: audio/Jharkhand/Ranchi/train-*
  - config_name: Jharkhand_Sahebganj
    data_files:
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  - config_name: Karnataka_Bangalore
    data_files:
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  - config_name: Karnataka_Belgaum
    data_files:
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  - config_name: Karnataka_Bellary
    data_files:
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  - config_name: Karnataka_Bidar
    data_files:
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  - config_name: Karnataka_Bijapur
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  - config_name: Karnataka_Chamarajanagar
    data_files:
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  - config_name: Karnataka_DakshinaKannada
    data_files:
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  - config_name: Karnataka_Dharwad
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  - config_name: Karnataka_Gulbarga
    data_files:
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  - config_name: Karnataka_Koppal
    data_files:
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  - config_name: Karnataka_Mysore
    data_files:
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  - config_name: Karnataka_Raichur
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  - config_name: Karnataka_Shimoga
    data_files:
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        path: audio/Karnataka/Shimoga/train-*
  - config_name: Kerala_Kasaragod
    data_files:
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  - config_name: Kerala_Kollam
    data_files:
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  - config_name: Kerala_Kozhikode
    data_files:
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  - config_name: Kerala_Thiruvananthapuram
    data_files:
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  - config_name: Kerala_Wayanad
    data_files:
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  - config_name: MadhyaPradesh_Bhopal
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  - config_name: MadhyaPradesh_Dhar
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  - config_name: MadhyaPradesh_Katni
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  - config_name: MadhyaPradesh_Umaria
    data_files:
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  - config_name: Maharashtra_Aurangabad
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  - config_name: Maharashtra_Chandrapur
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  - config_name: Maharashtra_Mumbaisuburban
    data_files:
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  - config_name: Maharashtra_Nagpur
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  - config_name: Maharashtra_Pune
    data_files:
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  - config_name: Maharashtra_Sindhudurg
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  - config_name: Maharashtra_Solapur
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  - config_name: Maharashtra_Washim
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  - config_name: Manipur_ImphalWest
    data_files:
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  - config_name: Meghalaya_NorthGaroHills
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      - split: train
        path: audio/Meghalaya/NorthGaroHills/train-*
  - config_name: Meghalaya_SouthGarohills
    data_files:
      - split: train
        path: audio/Meghalaya/SouthGarohills/train-*
  - config_name: Meghalaya_WestGaroHills
    data_files:
      - split: train
        path: audio/Meghalaya/WestGaroHills/train-*
  - config_name: Mizoram_Aizawl
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      - split: train
        path: audio/Mizoram/Aizawl/train-*
  - config_name: Nagaland_Dimapur
    data_files:
      - split: train
        path: audio/Nagaland/Dimapur/train-*
  - config_name: Nagaland_Kohima
    data_files:
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  - config_name: Odisha_Khordha
    data_files:
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        path: audio/Odisha/Malkangiri/train-*
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    data_files:
      - split: train
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  - config_name: Punjab_Fazilka
    data_files:
      - split: train
        path: audio/Punjab/Fazilka/train-*
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    data_files:
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      - split: train
        path: audio/Punjab/Pathankot/train-*
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      - split: train
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  - config_name: Rajasthan_Jaisalmer
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      - split: train
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  - config_name: Rajasthan_Nagaur
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  - config_name: Sikkim_Gangtok
    data_files:
      - split: train
        path: audio/Sikkim/Gangtok/train-*
  - config_name: TamilNadu_Chennai
    data_files:
      - split: train
        path: audio/TamilNadu/Chennai/train-*
  - config_name: TamilNadu_Kanyakumari
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      - split: train
        path: audio/TamilNadu/Kanyakumari/train-*
  - config_name: TamilNadu_Namakkal
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      - split: train
        path: audio/TamilNadu/Namakkal/train-*
  - config_name: TamilNadu_Nilgiris
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      - split: train
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    data_files:
      - split: train
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  - config_name: Telangana_Hyderabad
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      - split: train
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  - config_name: Telangana_Karimnagar
    data_files:
      - split: train
        path: audio/Telangana/Karimnagar/train-*
  - config_name: Telangana_KomaramBheem
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      - split: train
        path: audio/Telangana/KomaramBheem/train-*
  - config_name: Telangana_Mahabubabad
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      - split: train
        path: audio/Telangana/Mahabubabad/train-*
  - config_name: Telangana_Nalgonda
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      - split: train
        path: audio/Telangana/Nalgonda/train-*
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      - split: train
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  - config_name: Tripura_Unakoti
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  - config_name: UttarPradesh_Budaun
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      - split: train
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  - config_name: UttarPradesh_Deoria
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      - split: train
        path: audio/UttarPradesh/Deoria/train-*
  - config_name: UttarPradesh_Etah
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      - split: train
        path: audio/UttarPradesh/Etah/train-*
  - config_name: UttarPradesh_Ghazipur
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      - split: train
        path: audio/UttarPradesh/Ghazipur/train-*
  - config_name: UttarPradesh_Gorakhpur
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      - split: train
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  - config_name: UttarPradesh_Hamirpur
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      - split: train
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  - config_name: UttarPradesh_Jalaun
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      - split: train
        path: audio/UttarPradesh/Jalaun/train-*
  - config_name: UttarPradesh_JyotibaPhuleNagar
    data_files:
      - split: train
        path: audio/UttarPradesh/JyotibaPhuleNagar/train-*
  - config_name: UttarPradesh_Lalitpur
    data_files:
      - split: train
        path: audio/UttarPradesh/Lalitpur/train-*
  - config_name: UttarPradesh_Lucknow
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      - split: train
        path: audio/UttarPradesh/Lucknow/train-*
  - config_name: UttarPradesh_Muzaffarnagar
    data_files:
      - split: train
        path: audio/UttarPradesh/Muzaffarnagar/train-*
  - config_name: UttarPradesh_Saharanpur
    data_files:
      - split: train
        path: audio/UttarPradesh/Saharanpur/train-*
  - config_name: UttarPradesh_Shamli
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      - split: train
        path: audio/UttarPradesh/Shamli/train-*
  - config_name: UttarPradesh_Varanasi
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      - split: train
        path: audio/UttarPradesh/Varanasi/train-*
  - config_name: Uttarakhand_TehriGarhwal
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      - split: train
        path: audio/Uttarakhand/TehriGarhwal/train-*
  - config_name: Uttarakhand_Uttarkashi
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      - split: train
        path: audio/Uttarakhand/Uttarkashi/train-*
  - config_name: WestBengal_Alipurduar
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        path: audio/WestBengal/Alipurduar/train-*
  - config_name: WestBengal_CoochBehar
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      - split: train
        path: audio/WestBengal/CoochBehar/train-*
  - config_name: WestBengal_DakshinDinajpur
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      - split: train
        path: audio/WestBengal/DakshinDinajpur/train-*
  - config_name: WestBengal_Darjeeling
    data_files:
      - split: train
        path: audio/WestBengal/Darjeeling/train-*
  - config_name: WestBengal_Jalpaiguri
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      - split: train
        path: audio/WestBengal/Jalpaiguri/train-*
  - config_name: WestBengal_Jhargram
    data_files:
      - split: train
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  - config_name: WestBengal_Kolkata
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      - split: train
        path: audio/WestBengal/Kolkata/train-*
  - config_name: WestBengal_Malda
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      - split: train
        path: audio/WestBengal/Malda/train-*
  - config_name: WestBengal_North24Parganas
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      - split: train
        path: audio/WestBengal/North24Parganas/train-*
  - config_name: WestBengal_PaschimMedinipur
    data_files:
      - split: train
        path: audio/WestBengal/PaschimMedinipur/train-*
  - config_name: WestBengal_Purulia
    data_files:
      - split: train
        path: audio/WestBengal/Purulia/train-*
  - config_name: AndhraPradesh_Annamaya
    data_files:
      - split: train
        path: audio/AndhraPradesh/Annamaya/train-*
  - config_name: AndhraPradesh_Manyam
    data_files:
      - split: train
        path: audio/AndhraPradesh/Manyam/train-*
  - config_name: AndhraPradesh_SriSatyaSai
    data_files:
      - split: train
        path: audio/AndhraPradesh/SriSatyaSai/train-*
  - config_name: ArunachalPradesh_Longding
    data_files:
      - split: train
        path: audio/ArunachalPradesh/Longding/train-*
  - config_name: ArunachalPradesh_LowerDibangvalley
    data_files:
      - split: train
        path: audio/ArunachalPradesh/LowerDibangvalley/train-*
  - config_name: ArunachalPradesh_PapumPare
    data_files:
      - split: train
        path: audio/ArunachalPradesh/PapumPare/train-*
  - config_name: Assam_Hailakandi
    data_files:
      - split: train
        path: audio/Assam/Hailakandi/train-*
  - config_name: Assam_KamrupMetropolitan
    data_files:
      - split: train
        path: audio/Assam/KamrupMetropolitan/train-*
  - config_name: Assam_KarbiAnglong
    data_files:
      - split: train
        path: audio/Assam/KarbiAnglong/train-*
  - config_name: Assam_Sonitpur
    data_files:
      - split: train
        path: audio/Assam/Sonitpur/train-*
  - config_name: Bihar_Kaimur
    data_files:
      - split: train
        path: audio/Bihar/Kaimur/train-*
  - config_name: Bihar_Katihar
    data_files:
      - split: train
        path: audio/Bihar/Katihar/train-*
  - config_name: Bihar_Patna
    data_files:
      - split: train
        path: audio/Bihar/Patna/train-*
  - config_name: Bihar_WestChamparan
    data_files:
      - split: train
        path: audio/Bihar/WestChamparan/train-*
  - config_name: Chandigarh_Chandigarh
    data_files:
      - split: train
        path: audio/Chandigarh/Chandigarh/train-*
  - config_name: Chhattisgarh_Koriya
    data_files:
      - split: train
        path: audio/Chhattisgarh/Koriya/train-*
  - config_name: Chhattisgarh_Narayanpur
    data_files:
      - split: train
        path: audio/Chhattisgarh/Narayanpur/train-*
  - config_name: Chhattisgarh_Raipur
    data_files:
      - split: train
        path: audio/Chhattisgarh/Raipur/train-*
  - config_name: Delhi_NewDelhi
    data_files:
      - split: train
        path: audio/Delhi/NewDelhi/train-*
  - config_name: Gujarat_DevbhoomiDwarka
    data_files:
      - split: train
        path: audio/Gujarat/DevbhoomiDwarka/train-*
  - config_name: Gujarat_Gandhinagar
    data_files:
      - split: train
        path: audio/Gujarat/Gandhinagar/train-*
  - config_name: Gujarat_Navsari
    data_files:
      - split: train
        path: audio/Gujarat/Navsari/train-*
  - config_name: Gujarat_Valsad
    data_files:
      - split: train
        path: audio/Gujarat/Valsad/train-*
  - config_name: Haryana_CharkhiDadri
    data_files:
      - split: train
        path: audio/Haryana/CharkhiDadri/train-*
  - config_name: Haryana_Jhajjar
    data_files:
      - split: train
        path: audio/Haryana/Jhajjar/train-*
  - config_name: Haryana_Rohtak
    data_files:
      - split: train
        path: audio/Haryana/Rohtak/train-*
  - config_name: HimachalPradesh_Shimla
    data_files:
      - split: train
        path: audio/HimachalPradesh/Shimla/train-*
  - config_name: JammuAndKashmir_Srinagar
    data_files:
      - split: train
        path: audio/JammuAndKashmir/Srinagar/train-*
  - config_name: Jharkhand_Deoghar
    data_files:
      - split: train
        path: audio/Jharkhand/Deoghar/train-*
  - config_name: Jharkhand_Garhwa
    data_files:
      - split: train
        path: audio/Jharkhand/Garhwa/train-*
  - config_name: Jharkhand_Palamu
    data_files:
      - split: train
        path: audio/Jharkhand/Palamu/train-*
  - config_name: Jharkhand_Ranchi
    data_files:
      - split: train
        path: audio/Jharkhand/Ranchi/train-*
  - config_name: Karnataka_Bangalore
    data_files:
      - split: train
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  - config_name: Karnataka_Bidar
    data_files:
      - split: train
        path: audio/Karnataka/Bidar/train-*
  - config_name: Karnataka_Koppal
    data_files:
      - split: train
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  - config_name: Kerala_Kasaragod
    data_files:
      - split: train
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  - config_name: Kerala_Kollam
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      - split: train
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  - config_name: Kerala_Kozhikode
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      - split: train
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  - config_name: Kerala_Thiruvananthapuram
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      - split: train
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  - config_name: Kerala_Wayanad
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      - split: train
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  - config_name: MadhyaPradesh_Bhopal
    data_files:
      - split: train
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  - config_name: MadhyaPradesh_Dhar
    data_files:
      - split: train
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  - config_name: MadhyaPradesh_Katni
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  - config_name: MadhyaPradesh_Umaria
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      - split: train
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  - config_name: Maharashtra_Gondia
    data_files:
      - split: train
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  - config_name: Maharashtra_Mumbaisuburban
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      - split: train
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  - config_name: Maharashtra_Washim
    data_files:
      - split: train
        path: audio/Maharashtra/Washim/train-*
  - config_name: Manipur_ImphalWest
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      - split: train
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  - config_name: Meghalaya_NorthGaroHills
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      - split: train
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  - config_name: Meghalaya_SouthGarohills
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      - split: train
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  - config_name: Meghalaya_WestGaroHills
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      - split: train
        path: audio/Meghalaya/WestGaroHills/train-*
  - config_name: Mizoram_Aizawl
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      - split: train
        path: audio/Mizoram/Aizawl/train-*
  - config_name: Nagaland_Dimapur
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      - split: train
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  - config_name: Nagaland_Kohima
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      - split: train
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  - config_name: Odisha_Khordha
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      - split: train
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  - config_name: Odisha_Malkangiri
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      - split: train
        path: audio/Odisha/Malkangiri/train-*
  - config_name: Odisha_Nuapada
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      - split: train
        path: audio/Odisha/Nuapada/train-*
  - config_name: Odisha_Sambalpur
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      - split: train
        path: audio/Odisha/Sambalpur/train-*
  - config_name: Punjab_Fazilka
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      - split: train
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  - config_name: Punjab_Kapurthala
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      - split: train
        path: audio/Punjab/Kapurthala/train-*
  - config_name: Punjab_Pathankot
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      - split: train
        path: audio/Punjab/Pathankot/train-*
  - config_name: Rajasthan_Barmer
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      - split: train
        path: audio/Rajasthan/Barmer/train-*
  - config_name: Rajasthan_Bikaner
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      - split: train
        path: audio/Rajasthan/Bikaner/train-*
  - config_name: Rajasthan_Jaipur
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      - split: train
        path: audio/Rajasthan/Jaipur/train-*
  - config_name: Rajasthan_Jaisalmer
    data_files:
      - split: train
        path: audio/Rajasthan/Jaisalmer/train-*
  - config_name: Sikkim_Gangtok
    data_files:
      - split: train
        path: audio/Sikkim/Gangtok/train-*
  - config_name: TamilNadu_Chennai
    data_files:
      - split: train
        path: audio/TamilNadu/Chennai/train-*
  - config_name: TamilNadu_Kanyakumari
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      - split: train
        path: audio/TamilNadu/Kanyakumari/train-*
  - config_name: TamilNadu_Namakkal
    data_files:
      - split: train
        path: audio/TamilNadu/Namakkal/train-*
  - config_name: TamilNadu_Nilgiris
    data_files:
      - split: train
        path: audio/TamilNadu/Nilgiris/train-*
  - config_name: Telangana_Adilabad
    data_files:
      - split: train
        path: audio/Telangana/Adilabad/train-*
  - config_name: Telangana_Hyderabad
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      - split: train
        path: audio/Telangana/Hyderabad/train-*
  - config_name: Telangana_KomaramBheem
    data_files:
      - split: train
        path: audio/Telangana/KomaramBheem/train-*
  - config_name: Telangana_Mahabubabad
    data_files:
      - split: train
        path: audio/Telangana/Mahabubabad/train-*
  - config_name: Tripura_Dhalai
    data_files:
      - split: train
        path: audio/Tripura/Dhalai/train-*
  - config_name: Tripura_SouthTripura
    data_files:
      - split: train
        path: audio/Tripura/SouthTripura/train-*
  - config_name: Tripura_Unakoti
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      - split: train
        path: audio/Tripura/Unakoti/train-*
  - config_name: Tripura_WestTripura
    data_files:
      - split: train
        path: audio/Tripura/WestTripura/train-*
  - config_name: UttarPradesh_Lalitpur
    data_files:
      - split: train
        path: audio/UttarPradesh/Lalitpur/train-*
  - config_name: UttarPradesh_Lucknow
    data_files:
      - split: train
        path: audio/UttarPradesh/Lucknow/train-*
  - config_name: UttarPradesh_Saharanpur
    data_files:
      - split: train
        path: audio/UttarPradesh/Saharanpur/train-*
  - config_name: UttarPradesh_Shamli
    data_files:
      - split: train
        path: audio/UttarPradesh/Shamli/train-*
  - config_name: WestBengal_Alipurduar
    data_files:
      - split: train
        path: audio/WestBengal/Alipurduar/train-*
  - config_name: WestBengal_CoochBehar
    data_files:
      - split: train
        path: audio/WestBengal/CoochBehar/train-*
  - config_name: WestBengal_Darjeeling
    data_files:
      - split: train
        path: audio/WestBengal/Darjeeling/train-*
  - config_name: images
    data_files:
      - split: train
        path: images/train-*
task_categories:
  - automatic-speech-recognition
  - text-to-speech
  - image-to-text
  - text-to-image
pretty_name: Vaani
license: cc-by-4.0
language:
  - ne
  - as
  - ml
  - gu
  - or
  - en
  - ta
  - ur
  - te
  - kn
  - bn
  - hi
size_categories:
  - 10M<n<100M

VAANI is an India-representative multi-modal multi-lingual dataset. The current version (phase 1- 80 districts, phase 2- 85 districts) contains ~31,255 hours of spontaenous,image-prompted speech by 156K speakers across 165 districts, talking about 288K images covering 106 languages. From this audio data, 2,043 hours of transcribed data(text) is available, spanning almost evenly across the 165 districts.

Project Vaani, by IISc, Bangalore and ARTPARK, is capturing the true diversity of India’s spoken languages to propel language AI technologies for a truly inclusive Digital India. It was started with a vision to boost ML research and application capabilities in all Indian languages. We expect to create data corpora of over 150,000 hours of speech, part of which will be transcribed in local scripts, while ensuring linguistic, educational, urban-rural, age, and gender diversity (among other potential diversity characteristics). These diligently collected and curated datasets of natural speech and text from about 1 million people across all 773 districts of India will be open-sourced. The current version of the dataset that is open-sourced contains is from Phase 1. This unique dataset is also available through prestigious platforms such as Bhashini (under the National Language Translation Mission, MeiTY).

This initiative has been funded by Google.

	Adilabad	Aizawl	Alipurduar	Anantpur	Annamaya	Araria	Aurangabad	Balrampur	Bangalore	Barmer	Bastar	Begusarai	Belgaum	Bellary	Bhagalpur	Bhopal	Bidar	Bijapur	Bikaner	Bilaspur	Budaun	Chamarajanagar	Chandigarh	Chandrapur	CharkhiDadri	Chennai	Chittoor	Churu	CoochBehar	DakshinDinajpur	DakshinaKannada	Darbhanga	Darjeeling	Deoghar	Deoria	DevbhoomiDwarka	Dhalai	Dhar	Dharwad	Dhule	Dimapur	EastChamparan	Etah	Fazilka	Gandhinagar	Gangtok	Garhwa	Gaya	Ghazipur	Gondia	Gopalganj	Gorakhpur	Gulbarga	Guntur	Hailakandi	Hamirpur	Hyderabad	ImphalWest	Jahanabad	Jaipur	Jaisalmer	Jalaun	Jalpaiguri	Jamtara	Jamui	Jashpur	Jhajjar	Jhargram	JyotibaPhuleNagar	Kabirdham	Kaimur	KamrupMetropolitan	Kanyakumari	Kapurthala	KarbiAnglong	Karimnagar	Kasaragod	Katihar	Katni	Khordha	Kishanganj	Kohima	Kolkata	Kollam	KomaramBheem	Koppal	Korba	Koriya	Kozhikode	Krishna	Lakhisarai	Lalitpur	Longding	LowerDibangvalley	Lucknow	Madhepura	Mahabubabad	Malda	Malkangiri	Manyam	Mumbaisuburban	Muzaffarnagar	Muzaffarpur	Mysore	Nagaur	Nagpur	Nalgonda	Namakkal	Narayanpur	Navsari	NewDelhi	Nilgiris	North24Parganas	NorthGaroHills	NorthSouthGoa	Nuapada	Palamu	PapumPare	PaschimMedinipur	Pathankot	Patna	Pune	Purnia	Purulia	Raichur	Raigarh	Raipur	Rajnandgaon	Ranchi	Rohtak	Saharanpur	Saharsa	Sahebganj	Samastipur	Sambalpur	Saran	Sarguja	Shamli	Shimla	Shimoga	Sindhudurg	Sitamarhi	Solapur	Sonitpur	SouthGarohills	SouthTripura	SriSatyaSai	Srikakulam	Srinagar	Sukma	Supaul	TehriGarhwal	Thiruvananthapuram	Umaria	Unakoti	Uttarkashi	Vaishali	Valsad	Varanasi	Vishakapattanam	Washim	Wayanad	WestChamparan	WestGaroHills	WestTripura
Audio Duration(Hrs)	12.42	220.0	212.23	218.3	72.12	213.74	191.27	208.21	208.69	54.0	208.83	221.46	201.21	201.13	220.13	220.0	201.96	189.85	211.12	220.0	220.0	203.98	206.74	195.57	195.72	204.03	222.2	208.62	202.57	220.0	197.23	208.21	203.5	203.36	207.17	35.17	246.89	220.0	208.97	198.4	210.94	212.1	218.28	207.18	128.46	216.25	220.0	226.2	208.13	194.08	220.0	213.73	196.35	215.19	211.3	206.05	201.62	217.78	217.34	220.0	47.5	220.0	217.37	209.42	208.42	205.37	200.26	199.75	210.93	220.0	174.54	218.9	203.54	196.89	89.93	204.37	58.04	164.69	220.0	215.44	197.64	220.0	220.0	207.74	28.01	207.93	218.63	15.17	47.79	185.92	209.62	220.0	210.47	227.76	278.48	212.05	215.61	203.96	208.76	47.09	202.3	216.13	219.24	205.04	207.1	196.12	215.66	220.0	44.0	23.56	205.15	206.57	220.0	50.94	187.76	120.7	217.63	210.84	220.0	218.44	203.14	211.53	220.0	212.69	209.87	205.03	202.12	208.6	251.27	200.5	200.19	206.65	209.16	220.73	196.45	220.0	205.93	205.03	201.51	206.49	199.16	218.35	218.75	231.29	227.13	8.87	206.86	230.3	110.93	135.28	202.81	207.01	17.47	146.89	211.59	207.45	220.0	200.0	207.66	185.2	79.5	22.42	203.17	200.0	208.97
Trans. Duration(Hrs)	0.98	23.94	20.43	11.14	9.18	10.19	9.85	12.81	19.6	0.62	10.11	8.18	12.68	11.87	8.57	18.58	20.01	8.31	19.71	11.15	11.87	9.04	21.33	9.0	13.87	1.7	10.73	14.0	19.15	10.73	10.07	8.8	21.06	19.51	9.68	0.0	24.22	18.97	11.07	11.58	16.46	8.58	11.52	21.77	9.59	18.12	20.87	8.98	8.26	11.09	10.94	9.41	5.23	11.27	20.53	12.28	19.61	3.38	10.13	19.31	0.46	12.19	8.42	16.17	10.3	7.72	15.08	9.8	14.1	9.1	4.33	21.38	7.55	22.56	0.94	7.76	7.41	9.27	20.14	23.85	9.81	15.14	11.85	23.71	2.46	20.59	9.32	0.0	6.07	9.67	9.49	16.89	20.36	17.44	22.21	7.91	21.29	11.02	21.57	5.75	10.24	11.13	10.84	12.46	15.23	10.99	8.47	3.0	0.13	0.42	10.42	11.38	12.62	4.63	14.0	12.56	20.73	14.68	8.47	23.38	22.11	13.58	10.5	9.65	11.16	10.8	15.54	9.83	21.11	16.64	17.79	9.05	10.57	11.42	11.54	11.74	7.88	19.23	17.14	11.11	11.3	11.14	9.78	17.15	21.99	0.66	25.91	10.88	0.0	8.16	9.0	14.03	2.25	6.23	22.55	10.92	13.44	21.38	8.82	11.18	6.73	2.64	18.01	21.15	21.17
Audio Language-wise Duration(Hrs)	Hindi: 0.244, Telugu: 12.172	Bengali: 0.487, English: 5.506, Hindi: 4.157, Manipuri: 0.25, Mara: 0.05, Mizo: 201.496, Nagamese: 6.968, Telugu: 0.387, Thadou: 0.451, Vaiphei: 0.248	Bengali: 124.467, Bhojpuri: 0.553, English: 3.96, Hindi: 41.313, Nepali: 41.941	Bengali: 1.188, Hindi: 51.618, Marathi: 1.132, Telugu: 154.498, Urdu: 9.869	English: 0.467, Hindi: 0.307, Telugu: 71.348	Angika: 2.199, Bhojpuri: 0.319, Hindi: 186.976, Maithili: 23.631, Urdu: 0.612	Bengali: 0.256, Hindi: 85.787, Marathi: 105.223	Awadhi: 5.711, Chhattisgarhi: 10.998, Hindi: 191.498	Assamese: 0.751, Bengali: 2.373, English: 14.502, Hindi: 16.546, Kannada: 157.407, Malayalam: 0.039, Marathi: 0.168, Odia: 1.524, Punjabi: 2.635, Sumi: 0.168, Tamil: 10.185, Telugu: 1.809, Urdu: 0.578	Hindi: 29.641, Marwadi: 0.256, Rajasthani: 24.106	Bengali: 0.309, Bhatri: 1.206, Chhattisgarhi: 18.977, Gondi: 0.101, Halbi: 47.129, Hindi: 140.523, Odia: 0.063, Oriya: 0.52	Angika: 17.916, Bhojpuri: 1.614, Hindi: 148.923, Magahi: 0.224, Maithili: 36.962, Urdu: 15.824	Hindi: 12.958, Kannada: 149.277, Malayalam: 0.278, Marathi: 34.461, Telugu: 3.979, Urdu: 0.26	Bearybashe: 0.489, Hindi: 6.993, Kannada: 147.421, Malayalam: 0.165, Telugu: 43.512, Urdu: 2.547	Angika: 48.731, Bengali: 0.704, Bhojpuri: 0.279, Hindi: 156.42, Magahi: 0.56, Maithili: 12.298, Marathi: 0.855, Urdu: 0.284	English: 0.047, Hindi: 217.046, Sindhi: 2.339, Urdu: 0.568	Hindi: 0.323, Kannada: 199.629, Marathi: 2.011	Bengali: 0.28, Hindi: 5.426, Kannada: 180.931, Urdu: 3.212	Hindi: 199.038, Marwadi: 0.639, Marwari: 9.597, Rajasthani: 1.846	Bengali: 0.821, Chhattisgarhi: 14.78, Hindi: 203.753, Maithili: 0.287, Marathi: 0.358	Awadhi: 0.381, Badayuni: 0.089, Bengali: 0.25, Bundeli: 3.43, Hindi: 208.198, Khariboli: 4.201, Khari boli: 1.207, Marathi: 0.486, Urdu: 1.757	Hindi: 6.269, Kannada: 193.038, Malayalam: 0.327, Tamil: 4.021, Telugu: 0.325	Chhattisgarhi: 0.715, English: 6.789, Hindi: 187.657, Punjabi: 11.583	Hindi: 85.582, Malvani: 0.371, Marathi: 109.616	English: 1.036, Haryanvi: 6.048, Hindi: 188.639	Tamil: 204.029	Bengali: 1.116, Chittoor: 0.053, Hindi: 34.112, Tamil: 2.262, Telugu: 184.597, Vagavedu: 0.056	Bagri: 0.627, Bengali: 0.559, Gujarati: 0.272, Harauti: 0.339, Hindi: 73.251, Jaipuri: 0.817, Marwari: 41.403, Mewati: 0.345, Rajasthani: 89.387, Shekhawati: 1.083, Wagdi: 0.539	Bengali: 200.834, English: 1.059, Hindi: 0.678	Bengali: 208.021, Hindi: 11.979	Bearybashe: 6.403, Beary bashe: 0.064, Hindi: 18.094, Kannada: 123.914, Malayalam: 0.5, Telugu: 0.24, Tulu: 39.599, Urdu: 8.411	Hindi: 185.229, Maithili: 21.671, Urdu: 1.314	Bengali: 5.162, English: 2.336, Hindi: 1.858, Nepali: 194.143	English: 0.919, Hindi: 196.397, Khorth: 2.873, KhorthKhotta: 3.172	Awadhi: 0.237, Bhojpuri: 97.644, Hindi: 108.139, Khariboli: 0.218, Khari boli: 0.08, Maithili: 0.354, Marathi: 0.496	Gujarati: 34.628, Hindi: 0.541	Bengali: 9.143, Chakma: 226.058, Hindi: 1.226, Kokborok: 10.467	Bhili: 0.25, Hindi: 202.251, Malvi: 1.376, Nimadi: 16.122	Bhojpuri: 0.3, Hindi: 9.171, Kannada: 187.22, Malayalam: 0.294, Telugu: 11.534, Urdu: 0.453	Bhili: 2.813, Hindi: 58.785, Khandeshi: 5.663, Marathi: 131.142	Angami: 0.258, Ao: 2.173, Chakhesang: 2.462, English: 45.627, Hindi: 1.775, Kuki: 0.034, Liangmei: 0.175, Lotha: 0.289, Nagamese: 152.098, Phom: 0.228, Rongmei: 0.652, Sangtam: 0.84, Sumi: 3.04, Tenyidie: 0.562, Yimchunger: 0.612, Zeme: 0.115	Bengali: 1.121, Bhojpuri: 38.828, Hindi: 168.64, Maithili: 2.289, Marathi: 0.697, Urdu: 0.524	English: 0.204, Hindi: 214.752, Khariboli: 2.348, Khari boli: 0.507, Marathi: 0.471	English: 4.764, Hindi: 156.857, Punjabi: 45.143, Sindhi: 0.411	English: 1.881, Gujarati: 88.594, Hindi: 37.25, Marathi: 0.492, Rajasthani: 0.242	Bengali: 0.057, English: 17.769, Hindi: 5.952, Lepcha: 7.578, Limbu: 0.233, Nepali: 182.119, Sikkimese: 2.538	English: 2.355, Hindi: 216.921, Magadhi: 0.51, Sadri: 0.213	Bhojpuri: 0.343, Hindi: 186.838, Magahi: 34.883, Maithili: 2.985, Marathi: 1.113, Marwari: 0.039	Awadhi: 0.474, Bengali: 0.286, Bhojpuri: 80.776, Chhattisgarhi: 0.274, Hindi: 124.878, Khariboli: 0.338, Khari boli: 0.288, Marathi: 0.494, Urdu: 0.32	English: 3.671, Hindi: 130.234, Marathi: 58.675, Powari: 1.501	Bhojpuri: 34.367, Hindi: 183.78, Maithili: 1.429, Marathi: 0.423	Bhojpuri: 83.318, Hindi: 128.328, Khariboli: 0.46, Khari boli: 0.34, Marathi: 1.285	Hindi: 20.046, Kannada: 137.48, Malayalam: 0.237, Telugu: 18.605, Urdu: 19.982	Bengali: 0.429, English: 0.074, Hindi: 16.902, Marathi: 0.851, Telugu: 187.213, Urdu: 9.723	Assamese: 19.274, Bengali: 186.487, English: 0.344, Hindi: 4.583, Sylheti: 0.611	Awadhi: 0.059, Bengali: 0.187, Bundeli: 3.58, Hindi: 200.148, Khariboli: 1.472, Marathi: 0.559, Urdu: 0.049	English: 6.818, Hindi: 8.066, Tamil: 0.468, Telugu: 186.093, Urdu: 0.175	Bengali: 0.536, English: 2.055, Hindi: 3.349, Liangmai: 0.171, Manipuri: 206.19, Meitei: 0.203, Nepali: 1.588, Rongmei: 1.541, Tangkhul: 2.148	Bengali: 0.666, Hindi: 198.391, Magahi: 13.115, Maithili: 3.558, Marathi: 0.846, Urdu: 0.761	English: 2.298, Hindi: 204.88, Marwadi: 2.435, Marwari: 9.266, Punjabi: 0.18, Rajasthani: 0.941	Hindi: 19.661, Marwadi: 1.216, Marwari: 25.474, Rajasthani: 1.144	Awadhi: 0.178, Bundeli: 2.385, Gujarati: 0.094, Hindi: 215.724, Khariboli: 1.023, Marathi: 0.596	Bengali: 207.854, Hindi: 8.169, Marathi: 1.259, Sadri: 0.089	Bengali: 21.613, Bhojpuri: 0.26, Hindi: 164.63, Khortha: 22.122, Maithili: 0.458, Marathi: 0.333	Angika: 10.934, Bengali: 0.275, Hindi: 186.553, Magahi: 6.362, Maithili: 4.301	Agariya: 0.159, Bengali: 0.462, Chhattisgarhi: 63.67, Hindi: 106.472, Kudukh: 0.329, Kurukh: 7.065, Nagpuri: 0.893, Oriya: 0.25, Sadri: 26.069	English: 1.419, Haryanvi: 18.684, Hindi: 179.981, Punjabi: 0.172	Bengali: 194.942, Hindi: 3.996, Marathi: 0.809	English: 0.402, Hindi: 206.086, Khariboli: 1.745, Khari boli: 0.466, Marathi: 0.823, Urdu: 1.409	Chhattisgarhi: 26.774, Hindi: 192.66, Maithili: 0.313, Marathi: 0.253	Bengali: 0.206, Bhojpuri: 9.548, Bihari: 0.718, English: 2.049, Hindi: 161.755, Urdu: 0.263	Assamese: 128.697, Bengali: 4.756, English: 39.705, Hindi: 45.746	English: 0.494, Tamil: 203.051	English: 7.851, Hindi: 56.402, Punjabi: 132.418, Telugu: 0.22	Assamese: 1.423, Bengali: 0.177, English: 1.935, Hindi: 0.569, Karbi: 85.69, Nepali: 0.132	Bengali: 0.512, English: 0.648, Hindi: 4.723, Telugu: 196.527, Urdu: 1.959	English: 0.283, Malayalam: 57.762	Angika: 0.197, Bengali: 4.874, Bhojpuri: 1.609, Bihari: 0.638, English: 0.809, Hindi: 151.647, Maithili: 2.41, Santali: 0.734, Thethi: 0.268, Urdu: 1.504	Bagheli: 0.246, Bundeli: 0.21, Dogari: 0.203, Haryanvi: 0.236, Hindi: 218.134, Sindhi: 0.971	Bengali: 4.328, English: 0.214, Hindi: 23.734, Odia: 187.009, Telugu: 0.154	Hindi: 164.43, Maithili: 4.045, Surjapuri: 25.78, Urdu: 3.38	Angami: 8.197, Ao: 2.513, Assamese: 0.101, Chakhesang: 2.004, English: 51.371, Hindi: 3.746, Liangmei: 0.204, Lotha: 21.811, Nagamese: 115.515, Rengma: 4.359, Rongmei: 1.75, Sangtam: 0.134, Sumi: 6.551, Tenyidie: 0.759, Yimchunger: 0.568, Zeme: 0.416	Bengali: 206.158, Hindi: 13.842	English: 2.821, Malayalam: 204.921	English: 0.683, Hindi: 1.86, Telugu: 25.177, Urdu: 0.289	English: 1.263, Hindi: 1.54, Kannada: 205.125	Chhattisgarhi: 38.489, Hindi: 180.145	Chhattisgarhi: 0.1, Hindi: 14.022, Kurukh: 0.422, Surgujia: 0.623	Hindi: 0.086, Malayalam: 47.709	Bengali: 0.297, English: 0.524, Hindi: 22.903, Marathi: 0.243, Tamil: 0.247, Telugu: 161.709	Bhojpuri: 1.236, Hindi: 174.668, Konkani: 0.248, Magahi: 28.803, Maithili: 4.181, Marathi: 0.488	Bundeli: 0.704, Hindi: 219.295	English: 3.781, Hindi: 85.766, Wancho: 120.928	Assamese: 2.04, Bengali: 0.541, English: 20.99, Hindi: 193.966, Idu mishmi: 9.954, Nepali: 0.271	English: 2.977, Hindi: 267.988, Urdu: 7.514	Angika: 3.296, Hindi: 127.772, Khortha: 0.515, Magahi: 0.265, Maithili: 79.915, Marathi: 0.282	English: 3.895, Telugu: 211.469, Urdu: 0.249	Bengali: 196.655, Hindi: 7.113, Marathi: 0.193	Awadhi: 0.149, Baghati: 0.078, Bagri: 0.131, Bengali: 6.347, Bhatri: 0.25, Desia: 7.382, English: 3.339, Hindi: 17.401, Koya: 2.639, Odia: 170.415, Telugu: 0.63	English: 0.857, Hindi: 0.497, Telugu: 45.739	English: 4.032, Gujarati: 4.324, Hindi: 159.693, Marathi: 34.254	Awadhi: 0.243, Hindi: 209.525, Kannada: 0.249, Khariboli: 3.566, Khari boli: 0.794, Marathi: 1.348, Urdu: 0.409	Angika: 0.267, Bajjika: 12.785, Bhojpuri: 28.702, Hindi: 165.955, Kudmali: 0.169, Kurmali: 0.963, Maithili: 10.398	Bengali: 0.482, Hindi: 12.682, Kannada: 187.143, Lambani: 0.226, Malayalam: 0.215, Urdu: 4.295	Bengali: 0.295, Hindi: 63.853, Jaipuri: 1.49, Marathi: 0.13, Marwari: 69.138, Mewari: 0.299, Rajasthani: 71.897	Chhattisgarhi: 0.191, Hindi: 91.296, Malvani: 0.309, Marathi: 104.319	Bengali: 0.245, Hindi: 6.002, Lambani: 0.431, Malayalam: 0.172, Telugu: 208.81	Tamil: 220.0	Chhattisgarhi: 12.509, Gondi: 6.069, Halbi: 7.566, Hindi: 17.852	English: 0.615, Gujarati: 21.346, Hindi: 1.602	Bengali: 0.22, English: 0.81, Hindi: 201.569, Odia: 0.481, Punjabi: 2.068	English: 0.562, Tamil: 206.008	Bengali: 216.091, Hindi: 3.645, Marathi: 0.263	Assamese: 0.046, English: 0.347, Garo: 50.547	Bengali: 0.587, English: 0.113, Hindi: 97.213, Kannada: 0.316, Konkani: 67.642, Marathi: 21.889	Bengali: 2.943, English: 1.416, Hindi: 20.389, Odia: 92.159, Sambalpuri: 3.793	Bhojpuri: 3.718, English: 0.029, Hindi: 204.368, KhorthKhotta: 0.231, Magadhi: 6.166, MagadhiMagahi: 0.442, Magahi: 2.676	English: 5.669, Galo: 0.51, Hindi: 196.993, NissiDafla: 0.344, Nyishi: 4.855, Tagin: 1.991, Wancho: 0.474	Bengali: 217.527, Hindi: 2.473	Dogri: 0.144, English: 2.19, Hindi: 174.546, Punjabi: 41.513, Sindhi: 0.044	Bhojpuri: 1.802, Bihari: 0.084, English: 0.971, Hindi: 197.365, Magahi: 1.695, Maithili: 0.692, Meitei: 0.528	Hindi: 42.005, Marathi: 169.47, Urdu: 0.053	Angika: 9.679, Chhattisgarhi: 0.075, Hindi: 189.495, Maithili: 20.253, Urdu: 0.498	Bengali: 189.82, Hindi: 22.406, Rajbangshi: 0.052, Rajbanshi: 0.191, Santali: 0.223	Hindi: 7.874, Kannada: 175.272, Malayalam: 0.306, Telugu: 24.639, Urdu: 1.776	Chhattisgarhi: 31.847, Hindi: 172.619, Oriya: 0.561	Bengali: 1.449, Chhattisgarhi: 17.624, English: 0.391, Hindi: 182.403, Marathi: 0.255	Chhattisgarhi: 74.773, English: 0.208, Hindi: 133.276, Marathi: 0.34	Bengali: 0.196, Bhojpuri: 0.117, English: 0.113, Hindi: 250.843	English: 1.354, Haryanvi: 13.558, Hindi: 185.587	English: 0.409, Hindi: 199.78	Angika: 2.209, Chhattisgarhi: 0.193, Hindi: 143.445, Maithili: 41.114, Urdu: 19.684	Angika: 0.809, Bengali: 19.931, Bhojpuri: 1.395, Chhattisgarhi: 0.14, English: 0.188, Hindi: 176.101, Khortha: 3.462, Kurmali: 0.228, Magahi: 0.447, Marathi: 0.37, Santali: 6.092	Angika: 2.828, Bajjika: 0.116, Bhojpuri: 0.789, Hindi: 110.761, Magahi: 15.271, Maithili: 90.756, Urdu: 0.205	Bagheli: 0.236, Bengali: 0.892, English: 1.177, Hindi: 22.77, Odia: 139.704, Sambalpuri: 31.495, Sirmauri: 0.18	Bhojpuri: 58.983, Hindi: 159.193, Maithili: 1.401, Marathi: 0.421	Bengali: 0.253, Chhattisgarhi: 64.349, Hindi: 121.082, Kurukh: 3.918, Surgujia: 16.324	English: 0.144, Hindi: 204.886	English: 3.186, Hindi: 196.024, Kashmiri: 0.06, Pahadi: 1.254, Punjabi: 0.985	Hindi: 5.632, Kannada: 199.531, Malayalam: 0.288, Urdu: 1.034	Hindi: 56.033, Malvani: 14.936, Marathi: 128.191	Bajjika: 1.09, Bhojpuri: 1.905, Hindi: 207.573, Maithili: 3.876, Urdu: 3.908	Bengali: 0.282, Hindi: 57.998, Kannada: 0.248, Maithili: 0.216, Malvani: 0.257, Marathi: 159.753	Assamese: 204.816, Bengali: 1.857, English: 6.421, Hindi: 17.775, Odia: 0.218, Sadri: 0.202	Assamese: 0.129, Garo: 227.005	Bengali: 8.389, English: 0.332, Kokborok: 0.149	English: 6.266, Hindi: 1.606, Kannada: 0.71, Telugu: 198.277	Hindi: 11.547, Marathi: 0.173, Telugu: 218.577	English: 6.74, Hindi: 25.556, Kashmiri: 32.8, Urdu: 45.838	Bengali: 0.289, Chhattisgarhi: 32.234, Dorli: 1.322, Duruwa: 0.502, Gondi: 3.407, Hindi: 97.07, Oriya: 0.453	Angika: 1.996, Bhojpuri: 1.417, Hindi: 117.368, Maithili: 81.752, Urdu: 0.281	Bengali: 0.544, Garhwali: 50.024, Hindi: 143.404, Kumaoni: 12.764, Marathi: 0.277	English: 0.406, Malayalam: 16.731, Tamil: 0.335	Bagheli: 2.438, English: 0.607, Hindi: 143.637, Sindhi: 0.203	Bengali: 24.522, Chakma: 181.3, English: 0.753, Hindi: 2.836, Kokborok: 2.179	Bengali: 0.282, Garhwali: 86.776, Hindi: 104.102, Kumaoni: 15.298, Maithili: 0.726, Marathi: 0.27	Bajjika: 70.773, Bengali: 0.255, Bhojpuri: 2.396, Hindi: 129.322, Maithili: 16.901, Marathi: 0.352	Bengali: 0.165, English: 6.544, Gujarati: 147.767, Hindi: 43.897, Marathi: 1.627	Awadhi: 1.418, Bhojpuri: 28.913, Hindi: 175.349, Khariboli: 0.58, Khari boli: 0.472, Marathi: 0.927	Bengali: 0.303, Hindi: 13.698, Maithili: 0.179, Marathi: 0.159, Telugu: 170.861	English: 2.384, Gujarati: 0.089, Hindi: 31.791, Kannada: 0.516, Kashmiri: 0.733, Marathi: 42.837, Urdu: 1.152	Malayalam: 22.118, Paniya: 0.07, Tamil: 0.229	Bengali: 0.544, Bhatri: 0.249, Bhojpuri: 10.414, Bihari: 0.261, English: 0.494, Hindi: 190.574, Thethi: 0.457, Urdu: 0.181	Bengali: 0.791, Chakhesang: 0.246, English: 0.28, Garo: 193.453, Hajong: 0.403, Hindi: 4.055, Nagamese: 0.774	Bengali: 93.045, Chakma: 78.388, English: 0.434, Hindi: 6.301, Kokborok: 30.798
Trans. Language-wise Duration(Hrs)	Hindi: 0.041, Telugu: 0.938	Bengali: 0.224, English: 0.337, Hindi: 2.135, Manipuri: 0.009, Mara: 0.0, Mizo: 20.746, Nagamese: 0.255, Telugu: 0.156, Thadou: 0.062, Vaiphei: 0.019	Bengali: 14.371, Bhojpuri: 0.057, English: 0.266, Hindi: 2.979, Nepali: 2.754	Bengali: 0.014, Hindi: 1.771, Marathi: 0.002, Telugu: 8.837, Urdu: 0.518	English: 0.067, Hindi: 0.002, Telugu: 9.11	Angika: 0.131, Bhojpuri: 0.006, Hindi: 9.471, Maithili: 0.555, Urdu: 0.023	Bengali: 0.002, Hindi: 3.826, Marathi: 6.022	Awadhi: 0.154, Chhattisgarhi: 0.532, Hindi: 12.124	Assamese: 0.04, Bengali: 0.11, English: 1.496, Hindi: 1.945, Kannada: 14.964, Malayalam: 0.003, Marathi: 0.007, Odia: 0.15, Punjabi: 0.349, Sumi: 0.02, Tamil: 0.393, Telugu: 0.076, Urdu: 0.048	Hindi: 0.624, Marwadi: 0.0, Rajasthani: 0.0	Bengali: 0.004, Bhatri: 0.047, Chhattisgarhi: 0.307, Gondi: 0.002, Halbi: 2.212, Hindi: 7.498, Odia: 0.0, Oriya: 0.035	Angika: 0.814, Bhojpuri: 0.071, Hindi: 5.671, Magahi: 0.005, Maithili: 1.597, Urdu: 0.025	Hindi: 0.081, Kannada: 10.822, Malayalam: 0.017, Marathi: 1.706, Telugu: 0.05, Urdu: 0.004	Bearybashe: 0.017, Hindi: 0.091, Kannada: 11.11, Malayalam: 0.002, Telugu: 0.645, Urdu: 0.009	Angika: 1.484, Bengali: 0.009, Bhojpuri: 0.002, Hindi: 6.508, Magahi: 0.028, Maithili: 0.513, Marathi: 0.03, Urdu: 0.0	English: 0.005, Hindi: 18.578, Sindhi: 0.0, Urdu: 0.0	Hindi: 0.046, Kannada: 19.817, Marathi: 0.143	Bengali: 0.0, Hindi: 0.035, Kannada: 8.276, Urdu: 0.003	Hindi: 19.711, Marwadi: 0.0, Marwari: 0.0, Rajasthani: 0.0	Bengali: 0.003, Chhattisgarhi: 0.742, Hindi: 10.365, Maithili: 0.006, Marathi: 0.034	Awadhi: 0.029, Badayuni: 0.0, Bengali: 0.0, Bundeli: 0.257, Hindi: 10.986, Khariboli: 0.371, Khari boli: 0.0, Marathi: 0.004, Urdu: 0.222	Hindi: 0.009, Kannada: 8.756, Malayalam: 0.0, Tamil: 0.27, Telugu: 0.003	Chhattisgarhi: 0.0, English: 0.561, Hindi: 20.202, Punjabi: 0.565	Hindi: 4.064, Malvani: 0.03, Marathi: 4.904	English: 0.113, Haryanvi: 0.079, Hindi: 13.683	Tamil: 1.705	Bengali: 0.0, Chittoor: 0.0, Hindi: 1.172, Tamil: 0.031, Telugu: 9.524, Vagavedu: 0.0	Bagri: 0.062, Bengali: 0.029, Gujarati: 0.02, Harauti: 0.022, Hindi: 4.17, Jaipuri: 0.085, Marwari: 3.105, Mewati: 0.04, Rajasthani: 6.352, Shekhawati: 0.08, Wagdi: 0.031	Bengali: 19.087, English: 0.024, Hindi: 0.039	Bengali: 10.11, Hindi: 0.619	Bearybashe: 0.159, Beary bashe: 0.0, Hindi: 0.06, Kannada: 6.773, Malayalam: 0.0, Telugu: 0.0, Tulu: 3.049, Urdu: 0.029	Hindi: 7.796, Maithili: 1.005, Urdu: 0.0	Bengali: 0.634, English: 0.148, Hindi: 0.106, Nepali: 20.17	English: 0.078, Hindi: 19.003, Khorth: 0.202, KhorthKhotta: 0.225	Awadhi: 0.001, Bhojpuri: 4.878, Hindi: 4.727, Khariboli: 0.025, Khari boli: 0.0, Maithili: 0.027, Marathi: 0.018	Gujarati: 0.0, Hindi: 0.0	Bengali: 0.387, Chakma: 22.659, Hindi: 0.141, Kokborok: 1.035	Bhili: 0.0, Hindi: 18.972, Malvi: 0.0, Nimadi: 0.0	Bhojpuri: 0.0, Hindi: 0.021, Kannada: 10.866, Malayalam: 0.0, Telugu: 0.179, Urdu: 0.0	Bhili: 0.158, Hindi: 3.021, Khandeshi: 0.0, Marathi: 8.402	Angami: 0.021, Ao: 0.232, Chakhesang: 0.207, English: 1.236, Hindi: 0.103, Kuki: 0.002, Liangmei: 0.012, Lotha: 0.032, Nagamese: 13.933, Phom: 0.021, Rongmei: 0.059, Sangtam: 0.09, Sumi: 0.37, Tenyidie: 0.051, Yimchunger: 0.069, Zeme: 0.019	Bengali: 0.01, Bhojpuri: 1.562, Hindi: 6.894, Maithili: 0.098, Marathi: 0.018, Urdu: 0.0	English: 0.007, Hindi: 11.277, Khariboli: 0.24, Khari boli: 0.0, Marathi: 0.0	English: 0.603, Hindi: 17.249, Punjabi: 3.882, Sindhi: 0.034	English: 0.116, Gujarati: 7.223, Hindi: 2.196, Marathi: 0.056, Rajasthani: 0.0	Bengali: 0.009, English: 1.21, Hindi: 1.86, Lepcha: 0.0, Limbu: 0.0, Nepali: 15.036, Sikkimese: 0.0	English: 0.229, Hindi: 20.625, Magadhi: 0.009, Sadri: 0.011	Bhojpuri: 0.008, Hindi: 6.698, Magahi: 2.12, Maithili: 0.115, Marathi: 0.036, Marwari: 0.004	Awadhi: 0.008, Bengali: 0.0, Bhojpuri: 3.56, Chhattisgarhi: 0.01, Hindi: 4.638, Khariboli: 0.024, Khari boli: 0.0, Marathi: 0.017, Urdu: 0.0	English: 0.425, Hindi: 2.892, Marathi: 7.643, Powari: 0.134	Bhojpuri: 2.079, Hindi: 8.81, Maithili: 0.046, Marathi: 0.009	Bhojpuri: 3.966, Hindi: 5.397, Khariboli: 0.029, Khari boli: 0.0, Marathi: 0.013	Hindi: 0.071, Kannada: 5.015, Malayalam: 0.008, Telugu: 0.136, Urdu: 0.0	Bengali: 0.003, English: 0.0, Hindi: 0.876, Marathi: 0.017, Telugu: 10.377, Urdu: 0.0	Assamese: 1.499, Bengali: 18.672, English: 0.033, Hindi: 0.268, Sylheti: 0.06	Awadhi: 0.008, Bengali: 0.0, Bundeli: 0.311, Hindi: 11.854, Khariboli: 0.096, Marathi: 0.01, Urdu: 0.0	English: 0.654, Hindi: 0.866, Tamil: 0.033, Telugu: 18.048, Urdu: 0.015	Bengali: 0.23, English: 0.186, Hindi: 1.963, Liangmai: 0.003, Manipuri: 0.443, Meitei: 0.004, Nepali: 0.167, Rongmei: 0.083, Tangkhul: 0.302	Bengali: 0.004, Hindi: 9.685, Magahi: 0.352, Maithili: 0.072, Marathi: 0.015, Urdu: 0.0	English: 0.105, Hindi: 19.194, Marwadi: 0.0, Marwari: 0.0, Punjabi: 0.007, Rajasthani: 0.0	Hindi: 0.465, Marwadi: 0.0, Marwari: 0.0, Rajasthani: 0.0	Awadhi: 0.012, Bundeli: 0.257, Gujarati: 0.0, Hindi: 11.823, Khariboli: 0.095, Marathi: 0.006	Bengali: 7.997, Hindi: 0.354, Marathi: 0.069, Sadri: 0.0	Bengali: 2.459, Bhojpuri: 0.022, Hindi: 10.698, Khortha: 2.936, Maithili: 0.036, Marathi: 0.021	Angika: 0.101, Bengali: 0.006, Hindi: 9.638, Magahi: 0.437, Maithili: 0.117	Agariya: 0.003, Bengali: 0.005, Chhattisgarhi: 3.294, Hindi: 3.26, Kudukh: 0.0, Kurukh: 0.23, Nagpuri: 0.0, Oriya: 0.01, Sadri: 0.923	English: 0.144, Haryanvi: 0.028, Hindi: 14.87, Punjabi: 0.035	Bengali: 9.618, Hindi: 0.158, Marathi: 0.022	English: 0.008, Hindi: 13.774, Khariboli: 0.181, Khari boli: 0.0, Marathi: 0.02, Urdu: 0.112	Chhattisgarhi: 1.214, Hindi: 7.862, Maithili: 0.018, Marathi: 0.003	Bengali: 0.005, Bhojpuri: 0.0, Bihari: 0.0, English: 0.101, Hindi: 4.229, Urdu: 0.0	Assamese: 12.682, Bengali: 0.421, English: 3.89, Hindi: 4.387	English: 0.022, Tamil: 7.533	English: 0.945, Hindi: 8.967, Punjabi: 12.635, Telugu: 0.011	Assamese: 0.122, Bengali: 0.011, English: 0.131, Hindi: 0.027, Karbi: 0.634, Nepali: 0.011	Bengali: 0.0, English: 0.016, Hindi: 0.037, Telugu: 7.698, Urdu: 0.009	English: 0.019, Malayalam: 7.387	Angika: 0.001, Bengali: 0.462, Bhojpuri: 0.106, Bihari: 0.0, English: 0.059, Hindi: 8.325, Maithili: 0.185, Santali: 0.0, Thethi: 0.0, Urdu: 0.127	Bagheli: 0.0, Bundeli: 0.0, Dogari: 0.0, Haryanvi: 0.0, Hindi: 20.136, Sindhi: 0.0	Bengali: 0.645, English: 0.041, Hindi: 6.736, Odia: 16.407, Telugu: 0.016	Hindi: 9.078, Maithili: 0.207, Surjapuri: 0.252, Urdu: 0.275	Angami: 0.021, Ao: 0.255, Assamese: 0.001, Chakhesang: 0.152, English: 2.996, Hindi: 0.165, Liangmei: 0.026, Lotha: 0.014, Nagamese: 9.513, Rengma: 0.507, Rongmei: 0.144, Sangtam: 0.033, Sumi: 1.149, Tenyidie: 0.075, Yimchunger: 0.052, Zeme: 0.037	Bengali: 11.292, Hindi: 0.561	English: 0.12, Malayalam: 23.595	English: 0.058, Hindi: 0.128, Telugu: 2.241, Urdu: 0.038	English: 0.069, Hindi: 0.124, Kannada: 20.401	Chhattisgarhi: 1.563, Hindi: 7.759	Chhattisgarhi: 0.0, Hindi: 0.0, Kurukh: 0.0, Surgujia: 0.0	Hindi: 0.012, Malayalam: 6.058	Bengali: 0.0, English: 0.0, Hindi: 0.542, Marathi: 0.0, Tamil: 0.006, Telugu: 9.126	Bhojpuri: 0.048, Hindi: 7.942, Konkani: 0.019, Magahi: 1.352, Maithili: 0.127, Marathi: 0.005	Bundeli: 0.0, Hindi: 16.889	English: 0.423, Hindi: 8.026, Wancho: 11.907	Assamese: 0.088, Bengali: 0.06, English: 1.622, Hindi: 14.561, Idu mishmi: 1.076, Nepali: 0.032	English: 0.186, Hindi: 22.027, Urdu: 0.0	Angika: 0.261, Hindi: 5.401, Khortha: 0.01, Magahi: 0.019, Maithili: 2.208, Marathi: 0.014	English: 0.107, Telugu: 21.172, Urdu: 0.016	Bengali: 10.64, Hindi: 0.354, Marathi: 0.021	Awadhi: 0.0, Baghati: 0.0, Bagri: 0.0, Bengali: 1.247, Bhatri: 0.0, Desia: 0.0, English: 0.334, Hindi: 2.277, Koya: 0.0, Odia: 17.615, Telugu: 0.095	English: 0.046, Hindi: 0.009, Telugu: 5.693	English: 0.418, Gujarati: 0.561, Hindi: 5.68, Marathi: 3.577	Awadhi: 0.0, Hindi: 10.787, Kannada: 0.0, Khariboli: 0.293, Khari boli: 0.0, Marathi: 0.029, Urdu: 0.022	Angika: 0.01, Bajjika: 0.026, Bhojpuri: 2.575, Hindi: 7.815, Kudmali: 0.0, Kurmali: 0.05, Maithili: 0.361	Bengali: 0.035, Hindi: 0.021, Kannada: 12.396, Lambani: 0.0, Malayalam: 0.0, Urdu: 0.008	Bengali: 0.001, Hindi: 3.391, Jaipuri: 0.119, Marathi: 0.014, Marwari: 5.936, Mewari: 0.04, Rajasthani: 5.729	Chhattisgarhi: 0.015, Hindi: 4.761, Malvani: 0.029, Marathi: 6.186	Bengali: 0.003, Hindi: 0.103, Lambani: 0.018, Malayalam: 0.007, Telugu: 8.337	Tamil: 3.004	Chhattisgarhi: 0.0, Gondi: 0.0, Halbi: 0.0, Hindi: 0.125	English: 0.052, Gujarati: 0.369, Hindi: 0.0	Bengali: 0.027, English: 0.035, Hindi: 10.1, Odia: 0.027, Punjabi: 0.228	English: 0.04, Tamil: 11.337	Bengali: 12.472, Hindi: 0.137, Marathi: 0.015	Assamese: 0.0, English: 0.023, Garo: 4.608	Bengali: 0.028, English: 0.0, Hindi: 8.945, Kannada: 0.004, Konkani: 3.971, Marathi: 1.057	Bengali: 0.333, English: 0.196, Hindi: 2.262, Odia: 9.773, Sambalpuri: 0.0	Bhojpuri: 0.396, English: 0.001, Hindi: 19.535, KhorthKhotta: 0.034, Magadhi: 0.404, MagadhiMagahi: 0.064, Magahi: 0.294	English: 0.342, Galo: 0.046, Hindi: 14.049, NissiDafla: 0.013, Nyishi: 0.105, Tagin: 0.119, Wancho: 0.005	Bengali: 8.354, Hindi: 0.112	Dogri: 0.0, English: 0.292, Hindi: 19.171, Punjabi: 3.916, Sindhi: 0.005	Bhojpuri: 0.036, Bihari: 0.01, English: 0.043, Hindi: 22.022, Magahi: 0.0, Maithili: 0.0, Meitei: 0.0	Hindi: 3.02, Marathi: 10.552, Urdu: 0.004	Angika: 0.213, Chhattisgarhi: 0.005, Hindi: 9.399, Maithili: 0.869, Urdu: 0.019	Bengali: 8.691, Hindi: 0.936, Rajbangshi: 0.0, Rajbanshi: 0.019, Santali: 0.0	Hindi: 0.055, Kannada: 11.015, Malayalam: 0.0, Telugu: 0.089, Urdu: 0.0	Chhattisgarhi: 2.566, Hindi: 8.23, Oriya: 0.0	Bengali: 0.15, Chhattisgarhi: 0.0, English: 0.014, Hindi: 15.355, Marathi: 0.019	Chhattisgarhi: 3.881, English: 0.004, Hindi: 5.933, Marathi: 0.01	Bengali: 0.02, Bhojpuri: 0.014, English: 0.0, Hindi: 21.075	English: 0.156, Haryanvi: 0.139, Hindi: 16.349	English: 0.003, Hindi: 17.787	Angika: 0.137, Chhattisgarhi: 0.01, Hindi: 6.371, Maithili: 2.2, Urdu: 0.337	Angika: 0.049, Bengali: 1.696, Bhojpuri: 0.097, Chhattisgarhi: 0.0, English: 0.0, Hindi: 8.269, Khortha: 0.273, Kurmali: 0.016, Magahi: 0.046, Marathi: 0.013, Santali: 0.115	Angika: 0.227, Bajjika: 0.016, Bhojpuri: 0.054, Hindi: 4.344, Magahi: 1.349, Maithili: 5.428, Urdu: 0.0	Bagheli: 0.0, Bengali: 0.107, English: 0.105, Hindi: 2.608, Odia: 8.512, Sambalpuri: 0.211, Sirmauri: 0.0	Bhojpuri: 2.7, Hindi: 8.944, Maithili: 0.072, Marathi: 0.025	Bengali: 0.003, Chhattisgarhi: 2.873, Hindi: 4.375, Kurukh: 0.0, Surgujia: 0.633	English: 0.008, Hindi: 19.226	English: 0.119, Hindi: 16.921, Kashmiri: 0.008, Pahadi: 0.0, Punjabi: 0.088	Hindi: 0.024, Kannada: 11.083, Malayalam: 0.004, Urdu: 0.0	Hindi: 2.579, Malvani: 0.98, Marathi: 7.744	Bajjika: 0.079, Bhojpuri: 0.129, Hindi: 10.769, Maithili: 0.163, Urdu: 0.004	Bengali: 0.0, Hindi: 3.16, Kannada: 0.0, Maithili: 0.012, Malvani: 0.006, Marathi: 6.598	Assamese: 15.918, Bengali: 0.087, English: 0.285, Hindi: 0.842, Odia: 0.0, Sadri: 0.022	Assamese: 0.004, Garo: 21.985	Bengali: 0.611, English: 0.033, Kokborok: 0.018	English: 0.475, Hindi: 0.202, Kannada: 0.076, Telugu: 25.161	Hindi: 0.146, Marathi: 0.0, Telugu: 10.739	English: 0.0, Hindi: 0.0, Kashmiri: 0.0, Urdu: 0.0	Bengali: 0.017, Chhattisgarhi: 0.599, Dorli: 0.0, Duruwa: 0.0, Gondi: 0.418, Hindi: 7.089, Oriya: 0.032	Angika: 0.159, Bhojpuri: 0.065, Hindi: 5.642, Maithili: 3.138, Urdu: 0.0	Bengali: 0.009, Garhwali: 5.68, Hindi: 7.12, Kumaoni: 1.213, Marathi: 0.01	English: 0.041, Malayalam: 2.185, Tamil: 0.029	Bagheli: 0.0, English: 0.045, Hindi: 6.185, Sindhi: 0.0	Bengali: 1.931, Chakma: 20.258, English: 0.023, Hindi: 0.282, Kokborok: 0.059	Bengali: 0.0, Garhwali: 3.124, Hindi: 6.431, Kumaoni: 1.338, Maithili: 0.032, Marathi: 0.0	Bajjika: 4.937, Bengali: 0.006, Bhojpuri: 0.061, Hindi: 7.852, Maithili: 0.576, Marathi: 0.013	Bengali: 0.035, English: 0.61, Gujarati: 11.303, Hindi: 9.038, Marathi: 0.394	Awadhi: 0.069, Bhojpuri: 1.206, Hindi: 7.515, Khariboli: 0.019, Khari boli: 0.0, Marathi: 0.012	Bengali: 0.0, Hindi: 0.434, Maithili: 0.004, Marathi: 0.0, Telugu: 10.737	English: 0.201, Gujarati: 0.005, Hindi: 3.484, Kannada: 0.045, Kashmiri: 0.057, Marathi: 2.91, Urdu: 0.023	Malayalam: 2.639, Paniya: 0.0, Tamil: 0.0	Bengali: 0.041, Bhatri: 0.0, Bhojpuri: 0.089, Bihari: 0.0, English: 0.014, Hindi: 17.866, Thethi: 0.0, Urdu: 0.0	Bengali: 0.127, Chakhesang: 0.02, English: 0.014, Garo: 20.737, Hajong: 0.045, Hindi: 0.154, Nagamese: 0.054	Bengali: 10.825, Chakma: 6.895, English: 0.026, Hindi: 0.719, Kokborok: 2.703

This table represents the audio and transcription duration data for various languages.

	Agariya	Angami	Angika	Ao	Assamese	Awadhi	Baghati	Bagheli	Bagri	Bajjika	Bearybashe	Bengali	Bhatri	Bhili	Bhojpuri	Bihari	Bundeli	Chakhesang	Chakma	Chhattisgarhi	Desia	Dogari	Dogri	Dorli	Duruwa	English	Galo	Garhwali	Garo	Gondi	Gujarati	Hajong	Halbi	Harauti	Haryanvi	Hindi	Idu Mishmi	Jaipuri	Kannada	Karbi	Kashmiri	Khandeshi	Khariboli	Khortha	Kokborok	Konkani	Koya	Kuki	Kumaoni	Kurmali	Kurukh	Lambani	Lepcha	Liangmai	Liangmei	Limbu	Lotha	Magadhi	Maithili	Malayalam	Malvani	Malvi	Manipuri	Mara	Marathi	Marwadi	Meitei	Mewari	Mewati	Mizo	Nagamese	Nepali	Nimadi	Nyishi	Oriya	Pahadi	Paniya	Phom	Powari	Punjabi	Rajasthani	Rajbanshi	Rengma	Rongmei	Sadri	Sambalpuri	Sangtam	Santali	Shekhawati	Sikkimese	Sindhi	Sirmauri	Sumi	Surgujia	Surjapuri	Sylheti	Tagin	Tamil	Tangkhul	Telugu	Thadou	Thethi	Tulu	Urdu	Vaiphei	Wagdi	Wancho	Yimchunger	Zeme
Audio Duration(Hrs)	0.158734	9.774980	101.062000	4.685780	357.276000	8.849700	0.077647	2.920250	0.757763	84.762700	6.956468	2377.940000	1.704600	3.062500	491.546000	1.701100	10.307900	4.712220	485.746000	408.712000	7.382290	0.202765	0.143664	1.322160	0.501681	328.375000	0.509829	136.800000	471.005000	9.576290	297.114000	0.402697	54.695300	0.339216	38.526200	14868.500000	9.954020	2.306930	2245.430000	85.690200	33.593800	5.663500	20.105900	32.374670	43.593400	67.890200	2.639300	0.034168	28.061400	1.360908	11.734845	0.656447	7.577510	0.171214	0.379277	0.233149	22.100200	111.418648	469.350000	352.062000	15.872600	1.376250	206.439000	0.049572	1124.760000	159.463000	0.731031	0.299396	0.345472	201.496000	275.354000	420.194000	16.122200	5.198807	593.357690	1.254290	0.070215	0.227838	1.500710	236.696000	189.564000	0.243100	4.358690	3.943300	27.465731	35.287400	0.974023	7.048730	1.082640	2.538080	3.968960	0.180500	9.758030	16.946500	25.780100	0.610553	1.991060	850.836000	2.148110	2339.155889	0.451011	0.725602	39.598900	173.107000	0.248183	0.538571	121.402000	1.180050	0.531083
Trans. Duration(Hrs)	0.002967	0.167728	3.586260	0.487624	30.354000	0.280970	0.000000	0.000000	0.061615	5.058490	0.176266	154.392000	0.047465	0.158054	23.784100	0.009611	0.824193	0.379192	49.812100	17.608900	0.000000	0.000000	0.000000	0.000000	0.000000	22.854800	0.045923	8.803720	47.329500	0.420160	19.481100	0.045402	2.211990	0.022444	0.246646	963.056000	1.076040	0.204247	151.418000	0.634226	0.064576	0.000000	1.372890	3.680987	3.814010	3.989940	0.000000	0.002126	2.550370	0.065929	0.230299	0.017951	0.000000	0.003144	0.037621	0.000000	0.046836	6.480643	19.787400	41.904200	1.044790	0.000000	0.452227	0.000000	68.463400	9.044600	0.004457	0.039573	0.040182	20.745800	23.755400	38.170600	0.000000	0.118156	52.561742	0.000000	0.000000	0.021190	0.134403	21.705900	12.081000	0.018560	0.507456	0.285817	0.956326	0.210505	0.123032	0.115143	0.080067	0.000000	0.039087	0.000000	1.538770	0.633326	0.251695	0.060097	0.119066	24.341000	0.302467	159.193000	0.062174	0.000000	3.048600	1.889700	0.018760	0.030923	11.911400	0.120307	0.055848

To learn more about the project, please click here

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 subset (formatted as {State}_{District}) you would like to access. Please refer to the dataset card to explore the available subsets. 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", "Goa_NorthSouthGoa",token=<access_token>)

To download associated images

from datasets import load_dataset
dataset_subset = load_dataset("ARTPARK-IISc/VAANI", "images",token=<access_token>)

Citation

If you use this data, please cite the following:

@misc{pulikodan2026vaanicapturinglanguagelandscape,
      title={VAANI: Capturing the language landscape for an inclusive digital India}, 
      author={Sujith Pulikodan and Abhayjeet Singh and Agneedh Basu and Nihar Desai and Pavan Kumar J and Pranav D Bhat and Raghu Dharmaraju and Ritika Gupta and Sathvik Udupa and Saurabh Kumar and Sumit Sharma and Vaibhav Vishwakarma and Visruth Sanka and Dinesh Tewari and Harsh Dhand and Amrita Kamat and Sukhwinder Singh and Shikhar Vashishth and Partha Talukdar and Raj Acharya and Prasanta Kumar Ghosh},
      year={2026},
      eprint={2603.28714},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2603.28714}, 
}

Contact Us

We are eager to hear your feedback about the dataset and are open to new ideas for collaborations as well. Feel free to reach out to us at vaanicontact@gmail.com