class_docstr: Semantic Similarity dataset from qcri.org (Semeval 2014).
  
  Arguments:
      path (str): path to SICK_data directory
class_docstr_tok: ["Semantic","Similarity","dataset","from","qcri.org","(","Semeval","2014",")",".","Arguments",":","path","(","str",")",":","path","to","SICK_data","directory"]
docstr: Filename generator for the extracted zip files.
  
  Arguments:
      phase(str): Phase of training/evaluation
  
  Returns:
      string: SICK_<phase>.txt
docstr_tok: ["Filename","generator","for","the","extracted","zip","files",".","Arguments",":","phase","(","str",")",":","Phase","of","training\/evaluation","Returns",":","string",":","SICK_","<","phase",">",".txt"]
code: def gen_filename(phase):
      """
      Filename generator for the extracted zip files.
  
      Arguments:
          phase(str): Phase of training/evaluation
  
      Returns:
          string: SICK_<phase>.txt
      """
      return "SICK_{}.txt".format(phase)
  
imports: import logging
  import numpy
  import os
  import h5py
  from neon.data.dataiterator import NervanaDataIterator, ArrayIterator
  from neon.data.datasets import Dataset
  from neon.data.text_preprocessing import pad_sentences, pad_data
label_desc: Use image node_id 3 for calling the SICK obj's underlying member method code with example usage: obj.gen_filename(phase) and returns: str