code: def _get_cub200_dataset(root):
      train_set = CUB200(root, train=True)
      test_set = CUB200(root, train=False)
  
      return train_set, test_set
  
file_path: avalanche/avalanche/benchmarks/classic/ccub200.py
imports: from pathlib import Path
  from typing import Union, Optional, Any
  from torchvision.transforms import Compose, ToTensor, Resize
  from avalanche.benchmarks.classic.classic_benchmarks_utils import check_vision_benchmark
  from avalanche.benchmarks.datasets import CUB200
  from avalanche.benchmarks import nc_benchmark
  from torchvision import transforms
label_desc: Use image node_id 2 for calling a global function with example usage: _get_cub200_dataset(root) and returns: train_set,  test_set