code: def __init__(self, images, labels, process_batch):
      super().__init__()
  
      self.images = images
      self.labels = labels
      self.label_to_idx = {
          label: i for i, label in enumerate(set(labels))
      }
  
      self.process_batch = process_batch
  
imports: import torch
  from torch.utils.data import Dataset
  from PIL import Image
  import numpy
label_desc: Use image node_id 1 to create a new SingleLabelImageClassificationDataset object from inherited base classes: Dataset with example: obj = SingleLabelImageClassificationDataset(images, labels, process_batch)