code: def labels(self):
      if self._labels is None:
          with open(self.split_filename_labels, "r") as f:
              self._labels = json.load(f)
      return self._labels
  
imports: import numpy
  from PIL import Image
  import os
  import io
  import json
  import glob
  import h5py
  from torchmeta.utils.data import Dataset, ClassDataset, CombinationMetaDataset
  from torchmeta.datasets.utils import download_file_from_google_drive
  from torchmeta.datasets.utils import get_asset
label_desc: Use image node_id 5 for calling the DoubleMNISTClassDataset obj's underlying member method code with example usage: obj.labels() and returns: self