code: def _load_datasamples(self, num_samples):
      ds = load_dataset(
          "hf-internal-testing/librispeech_asr_dummy",
          "clean",
          split="validation",
      )
      # automatic decoding with librispeech
      speech_samples = ds.sort("id").filter(
          lambda x: x["id"]
          in [f"1272-141231-000{i}" for i in range(num_samples)]
      )[:num_samples]["audio"]
  
      return [x["array"] for x in speech_samples]
  
imports: import math
  import unittest
  import pytest
  from datasets import load_dataset
  from transformers import WavLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 1 for calling the WavLMModelIntegrationTest obj's underlying member method code with example usage: obj._load_datasamples(num_samples) and returns: unknown