code: def __init__(self):
      dir = (
          pathlib.Path(__file__).parent.parent.parent
          / "extra"
          / "datasets"
          / "librispeech"
      )
      if not os.path.exists(dir):
          os.makedirs(dir)
  
      self.dataset = torchaudio.datasets.LIBRISPEECH(
          root=dir,
          url="test-clean",
          download=True,
      )
  
imports: import unittest
  import torch
  import tqdm
  import torchaudio
  import pathlib
  import jiwer
  import os
  import numpy
  from whisper.normalizers import EnglishTextNormalizer
  from examples.whisper import init_whisper, transcribe_waveform
label_desc: Use image node_id 1 to create a new LibriSpeech object from inherited base classes: torch.utils.data with example: obj = LibriSpeech()