code: def test_wikiann_data(small_wikiann_train_test_text_data):
      """Temp to test wikiann dataset loads correctly"""
      _, dataset = small_wikiann_train_test_text_data
      check = SingleDatasetPerformance(scorers=["f1_macro"])
      result = check.run(dataset, predictions=list(dataset.label))
      assert_that(result.value.values[0][-1], equal_to(1))
  
imports: import numpy
  from hamcrest import assert_that, calling, close_to, equal_to, has_items, raises
  from deepchecks.core.errors import DeepchecksValueError, ValidationError
  from deepchecks.nlp.checks.model_evaluation.single_dataset_performance import SingleDatasetPerformance
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 11 for calling a global function with example usage: test_wikiann_data(small_wikiann_train_test_text_data) without return types