code: def __init__(
      self,
      index,
      data,
      general_class_name,
      specific_class_name,
      transform=None,
      target_transform=None,
  ):
      super(TieredImagenetDataset, self).__init__(
          index, transform=transform, target_transform=target_transform
      )
      self.data = data
      self.general_class_name = general_class_name
      self.specific_class_name = specific_class_name
  
imports: import numpy
  from PIL import Image
  import h5py
  import json
  import os
  import io
  import pickle
  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 TieredImagenetDataset object from inherited base classes: Dataset with example: obj = TieredImagenetDataset(index, data, general_class_name, specific_class_name, transform, target_transform)