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"]
code: def __init__(self, path="SICK_data/"):
      url = "http://alt.qcri.org/semeval2014/task1/data/uploads/"
      self.filemap = {
          "train": 87341,
          "test_annotated": 93443,
          "trial": 16446,
      }
      keys = list(self.filemap.keys())
      self.zip_paths = None
      self.file_paths = [self.gen_filename(phase) for phase in keys]
      self.sizes = [self.filemap[phase] for phase in keys]
  
      super(SICK, self).__init__(
          filename=self.file_paths, url=url, size=self.sizes, path=path
      )
  
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 1 to create a new SICK object from inherited base classes: Dataset with example: obj = SICK(path)