code: def __init__(
      self,
      index,
      data,
      character_name,
      transform=None,
      target_transform=None,
  ):
      super(OmniglotDataset, self).__init__(
          index, transform=transform, target_transform=target_transform
      )
      self.data = data
      self.character_name = character_name
  
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 1 to create a new OmniglotDataset object from inherited base classes: Dataset with example: obj = OmniglotDataset(index, data, character_name, transform, target_transform)