code: def skip(save_csv_train, save_csv_dev, save_csv_test):
      """
      Detects if the Common Voice data preparation has been already done.
      If the preparation has been done, we can skip it.
      Returns
      -------
      bool
          if True, the preparation phase can be skipped.
          if False, it must be done.
      """
  
      # Checking folders and save options
      skip = False
  
      if (
          os.path.isfile(save_csv_train)
          and os.path.isfile(save_csv_dev)
          and os.path.isfile(save_csv_test)
      ):
          skip = True
  
      return skip
  
file_path: speechbrain/recipes/CommonVoice/self-supervised-learning/wav2vec2/common_voice_prepare.py
imports: from dataclasses import dataclass
  import os
  import csv
  import re
  import logging
  import torchaudio
  import unicodedata
  import functools
  from speechbrain.utils.parallel import parallel_map
  from speechbrain.dataio.dataio import read_audio_info
label_desc: Use image node_id 2 for calling a global function with example usage: skip(save_csv_train, save_csv_dev, save_csv_test) and returns: skip