code: def feature_encoders(self, data_dir):
      
      encoders = (super(BabiQa, self).feature_encoders(data_dir))
      label_encoder = self.get_labels_encoder(data_dir)
      encoders["targets"] = label_encoder  # bAbi as a classification task
      return encoders
docs: Return a dict for encoding and decoding inference input/output.
  
      Args:
        data_dir: data directory
  
      Returns:
        A dict of <feature name, TextEncoder>.