code: def _test_librilightlimited(self, dataset, samples):
      num_samples = 0
      for i, (
          data,
          sample_rate,
          transcript,
          speaker_id,
          chapter_id,
          utterance_id,
      ) in enumerate(dataset):
          self.assertEqual(data, samples[i][0], atol=5e-5, rtol=1e-8)
          assert sample_rate == samples[i][1]
          assert transcript == samples[i][2]
          assert speaker_id == samples[i][3]
          assert chapter_id == samples[i][4]
          assert utterance_id == samples[i][5]
          num_samples += 1
  
      assert num_samples == len(samples)
  
file_path: audio/test/torchaudio_unittest/datasets/librilightlimited_test.py
imports: import os
  from torchaudio.datasets import librilight_limited
  from torchaudio_unittest.common_utils import get_whitenoise, save_wav, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 2 for calling the TestLibriLightLimited obj's underlying member method code with example usage: obj._test_librilightlimited(dataset, samples) without return types