code: def make_dataset(
      dataset_name: str, dataset_root: str, transforms: torch.nn.Module
  ) -> torch.utils.data.Dataset:
      return VALID_DATASETS[dataset_name](
          root=dataset_root, transforms=transforms
      )
  
file_path: vision/references/depth/stereo/parsing.py
imports: import argparse
  from functools import partial
  import torch
  from presets import StereoMatchingEvalPreset, StereoMatchingTrainPreset
  from torchvision.datasets import CarlaStereo, CREStereo, ETH3DStereo, FallingThingsStereo, InStereo2k, Kitti2012Stereo, Kitti2015Stereo, Middlebury2014Stereo, SceneFlowStereo, SintelStereo
label_desc: Use image node_id 3 for calling a global function with example usage: make_dataset(dataset_name, dataset_root, transforms) and returns: VALID_DATASETS