This function returns the examples in the raw (text) form.

def _generate_examples(self, filepath):
    """This function returns the examples in the raw (text) form."""
    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'],
      }