code: def test_dataset_wrong_input():
      bad_dataset = "wrong_input"
      # Act & Assert
      assert_that(
          calling(CalibrationScore().run).with_args(bad_dataset, None),
          raises(
              DeepchecksValueError,
              "non-empty instance of Dataset or DataFrame was expected, instead got str",
          ),
      )
  
file_path: deepchecks/tests/tabular/checks/model_evaluation/calibration_score_test.py
imports: from hamcrest import assert_that, calling, close_to, greater_than, has_entries, has_length, raises
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import CalibrationScore
  from deepchecks.tabular.dataset import Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_dataset_wrong_input() without return types