code: def __init__(
      self, config, *args, dataset_name="hateful_memes", **kwargs
  ):
      super().__init__(dataset_name, config, *args, **kwargs)
      assert (
          self._use_images
      ), "config's 'use_images' must be true to use image dataset"
      self.is_multilabel = self.config.get("is_multilabel", False)
  
imports: import copy
  import os
  import numpy
  import omegaconf
  import torch
  from mmf.common.sample import Sample
  from mmf.datasets.mmf_dataset import MMFDataset
  from mmf.utils.general import get_mmf_root
  from mmf.utils.visualize import visualize_images
  from PIL import Image
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new HatefulMemesImageDataset object from inherited base classes: MMFDataset with example: obj = HatefulMemesImageDataset(config)