code: def test_dataset_wrong_input():
      bad_dataset = "wrong_input"
      # Act & Assert
      assert_that(
          calling(ConfusionMatrixReport().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/confusion_matrix_report_test.py
imports: import numpy
  from hamcrest import assert_that, calling, equal_to, greater_than, has_length, raises
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import ConfusionMatrixReport
  from deepchecks.utils.strings import format_number, format_percent
  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