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
  import os
  import json
  import h5py
  from PIL import Image
  from torchvision.datasets.utils import check_integrity, download_url
  from torchmeta.utils.data import Dataset, ClassDataset
label_desc: Use image node_id 5 for calling the CIFAR100ClassDataset obj's underlying member method code with example usage: obj.labels() and returns: self