metadata

language:
  - fa
license: apache-2.0
task_categories:
  - automatic-speech-recognition
pretty_name: Persian ASR Youtube (30 Second Chunk)
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: video_id
      dtype: string
    - name: segment_id
      dtype: int64
    - name: title
      dtype: string
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 18831206461.844
      num_examples: 40933
  download_size: 18607827369
  dataset_size: 18831206461.844
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
size_categories:
  - 10K<n<100K

How To Use

from datasets import load_dataset
train = load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='train+val')
test =load_dataset('pourmand1376/asr-farsi-youtube-chunked-30-seconds', split='test')

Generated from this kaggle dataset