code: def skip(save_csv_train, save_csv_dev, save_csv_test):
      """
      Detects if the DVoice 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
  
imports: import os
  import csv
  import re
  import logging
  import torchaudio
  import unicodedata
  from tqdm.contrib import tzip
  import random
  import pandas
  from tqdm import tqdm
  import numpy
  import glob
  from speechbrain.dataio.dataio import read_audio_info
label_desc: Use image node_id 5 for calling a global function with example usage: skip(save_csv_train, save_csv_dev, save_csv_test) and returns: skip