class_docstr: A simplified Task that just holds the dictionaries.
class_docstr_tok: ["A","simplified","Task","that","just","holds","the","dictionaries","."]
code: def __init__(self, src_dict, dst_dict):
      super().__init__(args=None)
      self.src_dict = src_dict
      self.dst_dict = dst_dict
  
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 1 to create a new DictionaryHolderTask object from inherited base classes: LegacyFairseqTask with example: obj = DictionaryHolderTask(src_dict, dst_dict)