class_docstr: Implements the chatbot problem with Cornell Movie Dialog dataset.
  
  https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html
class_docstr_tok: ["Implements","the","chatbot","problem","with","Cornell","Movie","Dialog","dataset",".","https",":","\/\/www.cs.cornell.edu\/~cristian\/Cornell_Movie-Dialogs_Corpus.html"]
code: def targeted_vocab_size(self):
      return 2**15
  
file_path: tensor2tensor/tensor2tensor/data_generators/dialog_cornell.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import re
  from tensor2tensor.data_generators import dialog_abstract
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.utils import registry
label_desc: Use image node_id 1 for calling the DialogCornell32k obj's underlying member method code with example usage: obj.targeted_vocab_size() and returns: unknown