code: def __getitem__(self, index):
      image = Image.fromarray(self.data[index])
      target = self.character_name
  
      if self.transform is not None:
          image = self.transform(image)
  
      if self.target_transform is not None:
          target = self.target_transform(target)
  
      return (image, target)
  
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 3 for calling the OmniglotDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: image,  target