code: def _generate_examples(self, filepath):
      
      rows_per_pair_id = collections.defaultdict(list)
  
      with tf.io.gfile.GFile(filepath) as f:
        reader = csv.DictReader(f, delimiter='\t', quoting=csv.QUOTE_NONE)
        for row in reader:
          rows_per_pair_id[row['pairID']].append(row)
  
      for rows in six.itervalues(rows_per_pair_id):
        premise = {row['language']: row['sentence1'] for row in rows}
        hypothesis = {row['language']: row['sentence2'] for row in rows}
        yield {
            'premise': premise,
            'hypothesis': hypothesis,
            'label': rows[0]['gold_label'],
        }
docs: This function returns the examples in the raw (text) form.