code: def __getitem__(self, idx: int) -> dict:
      file = self.file_paths[idx]
      img = read_image_tensor(file, self.transform)
      return img, file.name
  
imports: from typing import Callable, Dict
  import torch
  from torch.utils.data import Dataset
  import torchvision.transforms.functional
  from torchvision import transforms
  import pytorch_lightning
  from collections.abc import Iterable
  from pathlib import Path
  from PIL import Image
  from typing import Tuple
label_desc: Use image node_id 2 for calling the ImageDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  file