code: def test_load_UCR_UEA_dataset():
      """Tests load_UCR_UEA_dataset correctly loads a baked in data set.
  
      Note this does not test whether download from timeseriesclassification.com works
      correctly, since this would make testing dependent on an external website.
      """
      X, y = load_UCR_UEA_dataset(name="UnitTest")
      assert isinstance(X, pd.DataFrame) and isinstance(y, np.ndarray)
      assert X.shape == (42, 1) and y.shape == (42,)
  
file_path: sktime/sktime/datasets/tests/test_data_io.py
imports: import numpy
  import pandas
  import pytest
  from sktime.datasets import load_basic_motions, load_UCR_UEA_dataset, load_uschange
  from sktime.datasets._data_io import _list_available_datasets, _load_provided_dataset
  from sktime.datatypes import check_is_mtype, scitype_to_mtype
label_desc: Use image node_id 3 for calling a global function with example usage: test_load_UCR_UEA_dataset() without return types