code: def test_SemEvalProcessor():
      dataset_name = "SemEval"
      dataset_path = os.path.join(base_path, dataset_name)
      processor = PROCESSORS[dataset_name.lower()]()
      train_dataset = processor.get_train_examples(dataset_path)
      dev_dataset = processor.get_dev_examples(dataset_path)
      test_dataset = processor.get_test_examples(dataset_path)
      assert processor.get_num_labels() == 19
      assert processor.get_labels() == [
          "Other",
          "Member-Collection(e1,e2)",
          "Entity-Destination(e1,e2)",
          "Content-Container(e1,e2)",
          "Message-Topic(e1,e2)",
          "Entity-Origin(e1,e2)",
          "Cause-Effect(e1,e2)",
          "Product-Producer(e1,e2)",
          "Instrument-Agency(e1,e2)",
          "Component-Whole(e1,e2)",
          "Member-Collection(e2,e1)",
          "Entity-Destination(e2,e1)",
          "Content-Container(e2,e1)",
          "Message-Topic(e2,e1)",
          "Entity-Origin(e2,e1)",
          "Cause-Effect(e2,e1)",
          "Product-Producer(e2,e1)",
          "Instrument-Agency(e2,e1)",
          "Component-Whole(e2,e1)",
      ]
      assert len(train_dataset) == 6507
      assert len(dev_dataset) == 1493
      assert len(test_dataset) == 2717
      assert (
          dev_dataset[0].text_a
          == "the system as described above has its greatest application in an arrayed configuration of antenna elements ."
      )
      assert dev_dataset[0].meta["head"] == "configuration"
      assert dev_dataset[0].meta["tail"] == "elements"
      assert dev_dataset[0].label == 18
  
file_path: OpenPrompt/test/test_data_processor/test_relation_classification_dataset.py
imports: import os, sys
  from os.path import dirname
  from os.path import abspath, join
  from openprompt.data_utils.relation_classification_dataset import PROCESSORS
label_desc: Use image node_id 4 for calling a global function with example usage: test_SemEvalProcessor() without return types