code: def test_dataset_works(self):
      data_home = dt.get_data_home(data_home=None, subdirectory="test")
      for set_name, variant in random.sample(
          ALL_SET_TEST_CASES, NUMBER_OF_SETS_TO_DOWNLOAD_IN_TEST
      ):
          X, y, feature_names, label_names = dt.load_dataset(
              set_name=set_name, variant=variant, data_home=data_home
          )
          self.assertEqual(len(X.shape), 2)
          self.assertEqual(len(y.shape), 2)
          self.assertEqual(len(feature_names), X.shape[1])
          self.assertEqual(len(label_names), y.shape[1])
          self.assertEqual(X.shape[0], y.shape[0])
  
      dt.clear_data_home(data_home)
  
imports: import random
  import unittest
  import skmultilearn.dataset
label_desc: Use image node_id 2 for calling the ClassifierBaseTest obj's underlying member method code with example usage: obj.test_dataset_works() without return types