code: def get_dataset_config(self):
      return {
          "name": "image_path",
          "batchsize_per_replica": 1,
          "use_shuffle": False,
          "num_samples": None,
          "transforms": [
              {
                  "name": "apply_transform_to_key",
                  "transforms": [{"name": "ToTensor"}],
                  "key": "input",
              }
          ],
      }
  
file_path: ClassyVision/test/dataset_image_path_dataset_test.py
imports: import os
  import shutil
  import tempfile
  import unittest
  import torch
  from classy_vision.dataset import build_dataset, ClassyDataset
  from classy_vision.dataset.image_path_dataset import ImagePathDataset
  from torchvision import transforms
label_desc: Use image node_id 4 for calling the TestImageDataset obj's underlying member method code with example usage: obj.get_dataset_config() and returns: dict