def METHOD_NAME(iris_split_dataset_and_model):
    train, test, model = iris_split_dataset_and_model
    check = DatasetsSizeComparison().add_condition_test_size_greater_or_equal(10_000)
    check_result = check.run(train, test, model)
    condition_result, *_ = check_result.conditions_results
    assert_that(condition_result, matcher=equal_condition_result( # type: ignore
        is_pass=False,
        name='Test dataset size is greater or equal to 10000',
        details='Test dataset contains 50 samples',
        category=ConditionCategory.FAIL
    ))