code: def _load_list(args, *filenames):
      output = []
      length = []
      for filename in filenames:
          filepath = os.path.join(args.root_dir, "labels", filename)
          for line in open(filepath).read().splitlines():
              dataset, rel_path, input_length = (
                  line.split(",")[0],
                  line.split(",")[1],
                  line.split(",")[2],
              )
              path = os.path.normpath(
                  os.path.join(
                      args.root_dir, dataset, rel_path[:-4] + ".mp4"
                  )
              )
              length.append(int(input_length))
              output.append(path)
      return output, length
  
file_path: audio/examples/avsr/lrs3.py
imports: import os
  import torchaudio
  import torchvision
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: _load_list(args) and returns: output,  length