code: def __init__(self, files, labels):
      self.files = files
      if labels and osp.exists(labels):
          with open(labels, "r") as lbl_f:
              self.labels = [line.rstrip() for line in lbl_f]
      else:
          self.labels = labels
  
imports: import argparse
  import glob
  import os
  import os.path
  import pprint
  import soundfile
  import torch
  import fairseq
  from torch import nn
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new FilesDataset object  with example: obj = FilesDataset(files, labels)