class_docstr: Tabular Intent/Slot tags dataset loader.
  Compatible with many sequence tagging datasets (ATIS, CoNLL, etc..)
  data format must be int tabular format where:
  - one word per line with tag annotation and intent type separated
  by tabs <token>     <tag_label>     <intent>
  
  - sentences are separated by an empty line
  
  Args:
      train_file (str): path to train set file
      test_file (str): path to test set file
      sentence_length (int): max sentence length
      word_length (int): max word length
class_docstr_tok: ["Tabular","Intent\/Slot","tags","dataset","loader",".","Compatible","with","many","sequence","tagging","datasets","(","ATIS",",","CoNLL",",","etc","..",")","data","format","must","be","int","tabular","format","where",":","-","one","word","per","line","with","tag","annotation","and","intent","type","separated","by","tabs","<","token",">","<","tag_label",">","<","intent",">","-","sentences","are","separated","by","an","empty","line","Args",":","train_file","(","str",")",":","path","to","train","set","file","test_file","(","str",")",":","path","to","test","set","file","sentence_length","(","int",")",":","max","sentence","length","word_length","(","int",")",":","max","word","length"]
code: def _split_into_sentences(file_lines):
      sents = []
      s = []
      for line in file_lines:
          line = line.strip()
          if not line:
              sents.append(s)
              s = []
              continue
          s.append(line)
      if s:
          sents.append(s)
      return sents
  
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 4 for calling the TabularIntentDataset obj's underlying member method code with example usage: obj._split_into_sentences(file_lines) and returns: sents