class_docstr: This class extends the basic Pytorch Dataset class to handle list of paths
  as the main data source.
docstr: Returns the total number of elements in the dataset.
  
  :return: Total number of dataset items.
docstr_tok: ["Returns","the","total","number","of","elements","in","the","dataset",".",":","return",":","Total","number","of","dataset","items","."]
code: def __len__(self):
      """
      Returns the total number of elements in the dataset.
  
      :return: Total number of dataset items.
      """
  
      return len(self.imgs)
  
imports: from pathlib import Path
  from typing import Callable, Generic, List, Tuple, Sequence, Optional, TypeVar, Union
  import torch.utils.data
  from PIL import Image
  import os
  import os.path
  from torch import Tensor
  from torchvision.transforms.functional import crop
  from .transform_groups import XTransform, YTransform
label_desc: Use image node_id 3 for calling the PathsDataset obj's underlying member method code with example usage: obj.__len__() and returns: len