code: def _default_mono_text_dataset_hparams():
      """Returns hyperparameters of a mono text dataset with default values.
  
      See :meth:`texar.tf.MonoTextData.default_hparams` for details.
      """
      return {
          "files": [],
          "compression_type": None,
          "vocab_file": "",
          "embedding_init": Embedding.default_hparams(),
          "delimiter": " ",
          "max_seq_length": None,
          "length_filter_mode": "truncate",
          "pad_to_max_seq_length": False,
          "bos_token": SpecialTokens.BOS,
          "eos_token": SpecialTokens.EOS,
          "other_transformations": [],
          "variable_utterance": False,
          "utterance_delimiter": "|||",
          "max_utterance_cnt": 5,
          "data_name": None,
          "@no_typecheck": ["files"],
      }
  
imports: import tensorflow
  from texar.tf.utils import utils
  from texar.tf.utils.dtypes import is_callable
  from texar.tf.data.data_utils import count_file_lines
  from texar.tf.data.data import dataset_utils
  from texar.tf.data.data.text_data_base import TextDataBase
  from texar.tf.data.data_decoders import TextDataDecoder, VarUttTextDataDecoder
  from texar.tf.data.vocabulary import Vocab, SpecialTokens
  from texar.tf.data.embedding import Embedding
label_desc: Use image node_id 1 for calling a global function with example usage: _default_mono_text_dataset_hparams() and returns: dict