code: def _maybe_prepare_set(target_csv):
      samples = sorted(os.listdir(target_csv))
      new_samples = []
      for s in samples:
          new_samples.append(os.path.join(target_csv, s))
      samples = new_samples
      return samples
  
file_path: DeepSpeech/bin/import_vctk.py
imports: import os
  import random
  import re
  from multiprocessing import Pool
  from zipfile import ZipFile
  import librosa
  import progressbar
  from deepspeech_training.util.downloader import SIMPLE_BAR, maybe_download
  from deepspeech_training.util.importers import get_counter, get_imported_samples, print_import_report
label_desc: Use image node_id 5 for calling a global function with example usage: _maybe_prepare_set(target_csv) and returns: samples