code: def _evaluate(dataset, predictions):
      '''
      Evaluate function.
      '''
      f1_result = exact_match = total = 0
      count = 0
      for article in dataset:
          for paragraph in article['paragraphs']:
              for qa_pair in paragraph['qas']:
                  total += 1
                  if qa_pair['id'] not in predictions:
                      count += 1
                      continue
                  ground_truths = list(map(lambda x: x['text'], qa_pair['answers']))
                  prediction = predictions[qa_pair['id']]
                  exact_match += metric_max_over_ground_truths(
                      exact_match_score, prediction, ground_truths)
                  f1_result += metric_max_over_ground_truths(
                      f1_score, prediction, ground_truths)
      print('total', total, 'exact_match', exact_match, 'unanswer_question ', count)
      exact_match = 100.0 * exact_match / total
      f1_result = 100.0 * f1_result / total
      return {'exact_match': exact_match, 'f1': f1_resultf _evaluate(dataset, predictions):
      '''
      Evaluate function.
      '''
      f1_result = exact_match = total = 0
      count = 0
      for article in dataset:
          for paragraph in article['paragraphs']:
              for qa_pair in paragraph['qas']:
                  total += 1
                  if qa_pair['id'] not in predictions:
                      count += 1
                      continue
                  ground_truths = list(map(lambda x: x['text'], qa_pair['answers']))
                  prediction = predictions[qa_pair['id']]
                  exact_match += metric_max_over_ground_truths(
                      exact_match_score, prediction, ground_truths)
                  f1_result += metric_max_over_ground_truths(
                      f1_score, prediction, ground_truths)
      print('total', total, 'exact_match', exact_match, 'unanswer_question ', count)
      exact_match = 100.0 * exact_match / total
      f1_result = 100.0 * f1_result / total
      return {'exact_match': exact_match, 'f1': f1_result}
docs: Evaluate function.