class_docstr: A language model on the 1B words corpus.
  
  Ratio of dev tokens (including eos) to dev words (including eos)
  176923 / 159658 = 1.108137; multiply log_ppl by this to compare results.
class_docstr_tok: ["A","language","model","on","the","1B","words","corpus",".","Ratio","of","dev","tokens","(","including","eos",")","to","dev","words","(","including","eos",")","176923","\/","159658","=","1.108137",";","multiply","log_ppl","by","this","to","compare","results","."]
code: def max_samples_for_vocab(self):
      return 63000
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import tarfile
  from six.moves import range
  from tensor2tensor.data_generators import generator_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the LanguagemodelLm1b32k obj's underlying member method code with example usage: obj.max_samples_for_vocab() and returns: int