class_docstr: Utility class for 1B word benchmark dataset.
  
  The current implementation reads the data from the tokenized text
  files.
class_docstr_tok: ["Utility","class","for","1B","word","benchmark","dataset",".","The","current","implementation","reads","the","data","from","the","tokenized","text","files","."]
code: def get_batch(self, batch_size, num_steps, pad=False, forever=True):
      return get_batch(
          self._get_sentence(forever),
          batch_size,
          num_steps,
          self.vocab.max_word_length,
          pad=pad,
      )
  
imports: import random
  import numpy
  from textattack.shared.utils import LazyLoader
label_desc: Use image node_id 5 for calling the LM1BDataset obj's underlying member method code with example usage: obj.get_batch(batch_size, num_steps, pad, forever) and returns: get_batch