code: def get_test_image_dataset(self, sample_type):
      return RandomImageBinaryClassDataset(
          crop_size=224,
          class_ratio=0.5,
          num_samples=100,
          seed=0,
          sample_type=sample_type,
      )
  
file_path: ClassyVision/test/dataset_transforms_util_test.py
imports: import copy
  import random
  import unittest
  import numpy
  import torch
  import torchvision.transforms
  from classy_vision.dataset.core.random_image_datasets import RandomImageBinaryClassDataset, SampleType
  from classy_vision.dataset.transforms import build_transforms
  from classy_vision.dataset.transforms.util import build_field_transform_default_imagenet, GenericImageTransform, ImagenetAugmentTransform, ImagenetNoAugmentTransform
label_desc: Use image node_id 1 for calling the DatasetTransformsUtilTest obj's underlying member method code with example usage: obj.get_test_image_dataset(sample_type) and returns: RandomImageBinaryClassDataset