code: def test_dataset_wrong_input():
      bad_dataset = "wrong_input"
      # Act & Assert
      assert_that(
          calling(SimpleModelComparison().run).with_args(
              bad_dataset, bad_dataset, None
          ),
          raises(
              DeepchecksValueError,
              "non-empty instance of Dataset or DataFrame was expected, instead got str",
          ),
      )
  
imports: from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_entry, has_items, has_length, is_, raises
  from sklearn.metrics import f1_score, get_scorer, make_scorer, recall_score
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.model_evaluation import SimpleModelComparison
  from deepchecks.tabular.metric_utils.scorers import get_default_scorers
  from deepchecks.tabular.utils.task_type import TaskType
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 1 for calling a global function with example usage: test_dataset_wrong_input() without return types