code: def load_monolingual_dataset(
      self, bin_path, is_source=False, num_examples_limit=None
  ):
      return ptt_data_utils.load_monolingual_dataset(
          bin_path=bin_path,
          is_source=is_source,
          char_source_dict=None,
          log_verbose=self.args.log_verbose,
          num_examples_limit=num_examples_limit,
      )
  
imports: import json
  from collections import OrderedDict
  from typing import Optional
  from fairseq import models
  from fairseq.data import BacktranslationDataset, LanguagePairDataset, RoundRobinZipDatasets, TransformEosDataset
  from fairseq.models import FairseqMultiModel
  from fairseq.tasks import register_task
  from pytorch_translate import beam_decode, constants, rnn
  from pytorch_translate.data import data, dictionary, utils, weighted_data
  from pytorch_translate.tasks.pytorch_translate_multi_task import PyTorchTranslateMultiTask
  from pytorch_translate.tasks.pytorch_translate_task import PytorchTranslateTask
label_desc: Use image node_id 4 for calling the PytorchTranslateSemiSupervised obj's underlying member method code with example usage: obj.load_monolingual_dataset(bin_path, is_source, num_examples_limit) and returns: ptt_data_utils