code: def get_mock_dataset(dataset_dir):
      """
      dataset_dir: directory to the mocked dataset
      """
      os.makedirs(dataset_dir, exist_ok=True)
      sample_rate = 8000
  
      audio_seed = 0
      dev_seed = 1
      eval_seed = 2
  
      mocked_utterances, mocked_utterances_all = _get_mocked_samples(
          dataset_dir, "Audio", sample_rate, audio_seed
      )
      mocked_dev_samples, mocked_dev_samples_all = _get_mocked_samples(
          dataset_dir, "dev_queries", sample_rate, dev_seed
      )
      (
          mocked_eval_samples,
          mocked_eval_samples_all,
      ) = _get_mocked_samples(
          dataset_dir, "eval_queries", sample_rate, eval_seed
      )
  
      return (
          mocked_utterances,
          mocked_dev_samples,
          mocked_eval_samples,
          mocked_utterances_all,
          mocked_dev_samples_all,
          mocked_eval_samples_all,
      )
  
imports: import os
  from collections import defaultdict
  from pathlib import Path
  from parameterized import parameterized
  from torchaudio.datasets import quesst14
  from torchaudio_unittest.common_utils import get_whitenoise, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 5 for calling a global function with example usage: get_mock_dataset(dataset_dir) and returns: mocked_utterances,  mocked_dev_samples,  mocked_eval_samples,  mocked_utterances_all,  mocked_dev_samples_all,  mocked_eval_samples_all