code: def _test_tedlium(self, dataset, release):
      num_samples = 0
      for i, (
          data,
          sample_rate,
          transcript,
          talk_id,
          speaker_id,
          identifier,
      ) in enumerate(dataset):
          self.assertEqual(
              data, self.samples[release][i][0], atol=5e-5, rtol=1e-8
          )
          assert sample_rate == self.samples[release][i][1]
          assert transcript == self.samples[release][i][2]
          assert talk_id == self.samples[release][i][3]
          assert speaker_id == self.samples[release][i][4]
          assert identifier == self.samples[release][i][5]
          num_samples += 1
  
      assert num_samples == len(self.samples[release])
  
      dataset._dict_path = os.path.join(dataset._path, f"{release}.dic")
      phoneme_dict = dataset.phoneme_dict
      phoenemes = [
          f"{key} {' '.join(value)}"
          for key, value in phoneme_dict.items()
      ]
      assert phoenemes == _PHONEME
  
file_path: audio/test/torchaudio_unittest/datasets/tedlium_test.py
imports: import os
  from pathlib import Path
  from torchaudio.datasets import tedlium
  from torchaudio_unittest.common_utils import get_whitenoise, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling the Tedlium obj's underlying member method code with example usage: obj._test_tedlium(dataset, release) without return types