code: def __getitem__(self, index):
      image = Image.open(io.BytesIO(self.data[index])).convert("RGB")
      target = self.label
  
      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 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 3 for calling the DoubleMNISTDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: image,  target