metadata

dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 4739686436.192
      num_examples: 22807
    - name: validation
      num_bytes: 578700572.85
      num_examples: 3075
  download_size: 4891973487
  dataset_size: 5318387009.042001
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
license: apache-2.0
language:
  - gu
pretty_name: Gujarati Interspeech

Gujarati Interspeech

Interspeech data downloaded from https://github.com/Open-Speech-EkStep/ULCA-asr-dataset-corpus

Dataset Details

Gujarati Data (Most of the entries are <5 seconds and hence Whisper Models can be used for accurate timestamp prediction)
Also, the audio seems to have been spoken by a single person.