class_docstr: Intent extraction dataset base class
  
  Args:
      sentence_length (int): max sentence length
class_docstr_tok: ["Intent","extraction","dataset","base","class","Args",":","sentence_length","(","int",")",":","max","sentence","length"]
docstr: int: label vocabulary size
docstr_tok: ["int",":","label","vocabulary","size"]
code: def label_vocab_size(self):
      """int: label vocabulary size"""
      return len(self._tags_vocab) + 1
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import json
  import os
  import sys
  import numpy
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.text import SpacyInstance, Vocabulary, character_vector_generator, word_vector_generator
label_desc: Use image node_id 5 for calling the IntentDataset obj's underlying member method code with example usage: obj.label_vocab_size() and returns: unknown