code: def __getitem__(self, index):
      character_name = "/".join(self.labels[index % self.num_classes])
      data = self.data[character_name]
      transform = self.get_transform(index, self.transform)
      target_transform = self.get_target_transform(index)
  
      return OmniglotDataset(
          index,
          data,
          character_name,
          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
label_desc: Use image node_id 2 for calling the OmniglotClassDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: OmniglotDataset