code: def __getitem__(self, index):
      class_name = self.labels[index % self.num_classes]
      data, masks = self.data[0][class_name], self.data[1][class_name]
      transform = self.get_transform(index, self.transform)
      target_transform = self.get_target_transform(index)
      class_id = self.read_labels().index(class_name)
  
      return PascalDataset(
          index,
          (data, masks),
          class_id,
          transform=transform,
          target_transform=target_transform,
      )
  
imports: import os
  import json
  import glob
  import h5py
  from PIL import Image, ImageOps
  from torchmeta.utils.data import Dataset, ClassDataset, CombinationMetaDataset
  from torchvision.datasets.utils import list_dir, download_url
  from torchmeta.datasets.utils import get_asset
  import numpy
label_desc: Use image node_id 2 for calling the Pascal5iClassDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: PascalDataset