code: def _load_datasamples(self, num_samples, sampling_rate=24000):
      ds = load_dataset(
          "hf-internal-testing/librispeech_asr_dummy",
          "clean",
          split="validation",
      )
      ds = ds.cast_column("audio", Audio(sampling_rate=sampling_rate))
      # automatic decoding with librispeech
      speech_samples = ds.sort("id").select(range(num_samples))[
          :num_samples
      ]["audio"]
  
      return [x["array"] for x in speech_samples], [
          x["sampling_rate"] for x in speech_samples
      ]
  
imports: import gc
  import inspect
  import random
  import unittest
  from datasets import Audio, load_dataset
  from transformers import UnivNetConfig, UnivNetFeatureExtractor
  from transformers.testing_utils import is_torch_available, require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor
label_desc: Use image node_id 2 for calling the UnivNetModelIntegrationTests obj's underlying member method code with example usage: obj._load_datasamples(num_samples, sampling_rate) and returns: unknown,  unknown