def METHOD_NAME(correct_images_folder):
    data_loader = simple.classification_dataset_from_directory(
        root=str(correct_images_folder.joinpath('train')),
        object_type="DataLoader",
        image_extension="PNG"
    )
    assert_that(data_loader, all_of(
        instance_of(DataLoader),
        has_length(1),
        has_property("dataset", instance_of(simple.SimpleClassificationDataset))
    ))
    img, label = data_loader.dataset[0]
    assert_that(img, all_of(
        instance_of(np.ndarray),
        has_property("shape", equal_to((10, 10, 3)))
    ))
    assert_that(label, instance_of(int))
    assert_that(data_loader.dataset.reverse_classes_map[label] == "class1")