class_docstr: Task for joint training speech and text to text.
class_docstr_tok: ["Task","for","joint","training","speech","and","text","to","text","."]
docstr: Return the :class:`~fairseq.data.Dictionary` for the language
  model.
docstr_tok: ["Return","the",":","class",":","`","~fairseq.data.Dictionary","`","for","the","language","model","."]
code: def target_dictionary(self):
      """Return the :class:`~fairseq.data.Dictionary` for the language
      model."""
      return self.tgt_dict
  
imports: import logging
  import os
  from argparse import Namespace
  from pathlib import Path
  import torch
  from fairseq.data import encoders, Dictionary, ResamplingDataset, TransformEosLangPairDataset, ConcatDataset
  from fairseq.data.iterators import GroupedEpochBatchIterator
  from fairseq.data.audio.multi_modality_dataset import MultiModalityDataset, LangPairMaskDataset, ModalityDatasetItem
  from fairseq.data.audio.speech_to_text_dataset import SpeechToTextDataset, SpeechToTextDatasetCreator
  from fairseq.data.audio.speech_to_text_joint_dataset import S2TJointDataConfig, SpeechToTextJointDatasetCreator
  from fairseq.tasks import register_task
  from fairseq.tasks.speech_to_text import SpeechToTextTask
  from fairseq.tasks.translation import load_langpair_dataset
label_desc: Use image node_id 9 for calling the SpeechTextJointToTextTask obj's underlying member method code with example usage: obj.target_dictionary() and returns: self