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: Conditional data loader will download and extract zip files if not found locally.
docstr_tok: ["Conditional","data","loader","will","download","and","extract","zip","files","if","not","found","locally","."]
code: def load_data(self):
      """
      Conditional data loader will download and extract zip files if not found locally.
      """
      self.zip_paths = {}
      for phase in self.filemap:
          zn = self.gen_zipname(phase)
          size = self.filemap[phase]
          self.zip_paths[phase] = self.load_zip(zn, size)
      return self.zip_paths
  
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 4 for calling the SICK obj's underlying member method code with example usage: obj.load_data() and returns: self