code: def __init__(
      self,
      index,
      data,
      class_name,
      transform=None,
      target_transform=None,
  ):
      super(MiniImagenetDataset, self).__init__(
          index, transform=transform, target_transform=target_transform
      )
      self.data = data
      self.class_name = class_name
  
imports: import os
  import pickle
  from PIL import Image
  import h5py
  import json
  from torchmeta.utils.data import Dataset, ClassDataset, CombinationMetaDataset
  from torchmeta.datasets.utils import download_file_from_google_drive
label_desc: Use image node_id 1 to create a new MiniImagenetDataset object from inherited base classes: Dataset with example: obj = MiniImagenetDataset(index, data, class_name, transform, target_transform)