code: def _example_generator(filename):
    
    for idx, line in enumerate(tf.gfile.Open(filename, "rb")):
      if idx == 0: continue  # skip header
      line = text_encoder.to_unicode_utf8(line.strip())
      split_line = line.split("\t")
      # Works for both splits even though dev has some extra human labels.
      yield {
          "premise": split_line[8],
          "hypothesis": split_line[9],
          "label": split_line[-1]
      }
docs: Generate mnli examples.
  
    Args:
      filename: a string
    Yields:
      dictionaries containing "premise", "hypothesis" and "label" strings