code: def test_CSQAProcessor():
      base_path = os.path.join(root_dir, "datasets/Reasoning")
      dataset_name = "csqa"
      dataset_path = os.path.join(base_path, dataset_name)
      processor = PROCESSORS[dataset_name.lower()]()
      train_dataset = processor.get_train_examples(dataset_path)
      valid_dataset = processor.get_dev_examples(dataset_path)
      test_dataset = processor.get_test_examples(dataset_path)
  
      assert len(train_dataset) == 9741
      assert len(valid_dataset) == 1221
      assert len(test_dataset) == 1140
      assert (
          train_dataset[0].text_a
          == "The sanctions against the school were a punishing blow, and they seemed to what the efforts the school had made to change?"
      )
      assert train_dataset[0].text_b == ""
      assert train_dataset[0].tgt_text == "A"
      assert train_dataset[0].meta == {
          "choices": [
              {"label": "A", "text": "ignore"},
              {"label": "B", "text": "enforce"},
              {"label": "C", "text": "authoritarian"},
              {"label": "D", "text": "yell at"},
              {"label": "E", "text": "avoid"},
          ],
          "choices_text": "(A) ignore\n(B) enforce\n(C) authoritarian\n(D) yell at\n(E) avoid",
      }
  
imports: import os, sys
  from os.path import dirname
  from os.path import abspath, join
  from openprompt.data_utils.conditional_generation_dataset import PROCESSORS
label_desc: Use image node_id 2 for calling a global function with example usage: test_CSQAProcessor() without return types