code: def load_multisource_dataset_from_text(
      self,
      split: str,
      source_text_files: List[str],
      target_text_file: str,
      append_eos: Optional[bool] = False,
      reverse_source: Optional[bool] = True,
  ):
      src_dataset = multisource_data.IndexedRawTextMultisentDataset(
          path=source_text_files,
          dictionary=self.source_dictionary,
          append_eos=append_eos,
          reverse_order=reverse_source,
      )
      tgt_dataset = data.IndexedRawTextDataset(
          path=target_text_file,
          dictionary=self.target_dictionary,
          # We always append EOS to the target sentence since we still want
          # the model to output an indication the sentence has finished, even
          # if we don't append the EOS symbol to the source sentence
          # (to prevent the model from misaligning UNKs or other words
          # to the frequently occurring EOS).
          append_eos=True,
          # We don't reverse the order of the target sentence, since
          # even if the source sentence is fed to the model backwards,
          # we still want the model to start outputting from the first word.
          reverse_order=False,
      )
      self.datasets[
          split
      ] = multisource_data.MultisourceLanguagePairDataset(
          src=src_dataset,
          src_sizes=src_dataset.sizes,
          src_dict=self.source_dictionary,
          tgt=tgt_dataset,
          tgt_sizes=tgt_dataset.sizes,
          tgt_dict=self.target_dictionary,
      )
  
imports: import os
  from collections import OrderedDict
  from typing import Dict, List, Optional, Tuple
  import numpy
  from fairseq import data, options
  from fairseq.data import ConcatDataset, LanguagePairDataset, NoisingDataset
  from fairseq.data.multi_corpus_sampled_dataset import MultiCorpusSampledDataset
  from fairseq.data.noising import UnsupervisedMTNoising
  from fairseq.tasks import LegacyFairseqTask, register_task
  from pytorch_translate import constants, utils
  from pytorch_translate.data import char_data, data, dictionary, utils, weighted_data
  from pytorch_translate.data.language_pair_upsampling_dataset import LanguagePairUpsamplingDataset
  from pytorch_translate.research.multisource import multisource_data
label_desc: Use image node_id 11 for calling the PytorchTranslateTask obj's underlying member method code with example usage: obj.load_multisource_dataset_from_text(split, source_text_files, target_text_file, append_eos, reverse_source) without return types