code: def _load_list(root, *filenames):
      output = []
      for filename in filenames:
          filepath = os.path.join(root, filename)
          with open(filepath) as fileobj:
              output += [
                  os.path.normpath(os.path.join(root, line.strip()))
                  for line in fileobj
              ]
      return output
  
file_path: audio/src/torchaudio/datasets/speechcommands.py
imports: import os
  from pathlib import Path
  from typing import Optional, Tuple, Union
  from torch import Tensor
  from torch.utils.data import Dataset
  from torchaudio._internal import download_url_to_file
  from torchaudio.datasets.utils import _extract_tar, _load_waveform
label_desc: Use image node_id 1 for calling a global function with example usage: _load_list(root) and returns: output