code: def _load_datasamples(self, num_samples):
      from datasets import load_dataset
  
      ds = load_dataset(
          "hf-internal-testing/librispeech_asr_dummy",
          "clean",
          split="validation",
      )
      # automatic decoding with librispeech
      speech_samples = ds.sort("id").select(range(num_samples))[
          :num_samples
      ]["audio"]
  
      return [x["array"] for x in speech_samples]
  
imports: import itertools
  import os
  import random
  import tempfile
  import unittest
  import numpy
  from transformers import is_speech_available
  from transformers.testing_utils import check_json_file_has_correct_format, require_torch, require_torchaudio
  from transformers.utils.import_utils import is_torch_available
  from ...test_sequence_feature_extraction_common import SequenceFeatureExtractionTestMixin
label_desc: Use image node_id 6 for calling the WhisperFeatureExtractionTest obj's underlying member method code with example usage: obj._load_datasamples(num_samples) and returns: unknown