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: dict: word character vocabulary
docstr_tok: ["dict",":","word","character","vocabulary"]
code: def char_vocab(self):
      """dict: word character vocabulary"""
      return self._chars_vocab
  
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 8 for calling the IntentDataset obj's underlying member method code with example usage: obj.char_vocab() and returns: self