diff --git a/synonyms/data.py b/synonyms/data.py
deleted file mode 100755
index eea51be..0000000
--- a/synonyms/data.py
+++ /dev/null
@@ -1,104 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-#===============================================================================
-#
-# Copyright (c) 2017 <> All Rights Reserved
-#
-#
-# File: /Users/hain/ai/Synonyms/synonyms/data.py
-# Author: Hai Liang Wang
-# Date: 2017-10-31:17:13:51
-#
-#===============================================================================
-
-"""
-   
-"""
-from __future__ import print_function
-from __future__ import division
-
-__copyright__ = "Copyright (c) 2017 . All Rights Reserved"
-__author__    = "Hai Liang Wang"
-__date__      = "2017-10-31:17:13:51"
-
-
-import os
-import sys
-curdir = os.path.dirname(os.path.abspath(__file__))
-sys.path.append(curdir)
-
-if sys.version_info[0] < 3:
-    reload(sys)
-    sys.setdefaultencoding("utf-8")
-    # raise "Must be using Python 3"
-
-
-def add_word_to_vocab(word, nearby, nearby_score):
-    '''
-    Add word into vocab by word, nearby lis and nearby_score lis
-    '''
-    global _size
-    if word is not None:
-        if PLT == 2:
-            word = any2unicode(word)
-            nearby = [any2unicode(z) for z in nearby]
-        _vocab[word] = [nearby, nearby_score]
-        _size += 1
-
-def _build_vocab():
-    '''
-    Build vocab
-    '''
-    _fin = []
-    if PLT == 2:
-        import io
-        _fin = io.TextIOWrapper(
-            io.BufferedReader(
-                gzip.open(_fin_path)),
-            encoding='utf8',
-            errors='ignore')
-    else:
-        _fin = gzip.open(_fin_path, 'rt', encoding='utf-8', errors="ignore")
-
-    c = None  # current word
-    w = []   # word nearby
-    s = []   # score of word nearby
-    for v in _fin.readlines():
-        v = v.strip()
-        if v is None or len(v) == 0:
-            continue
-        if v.startswith("query:"):
-            add_word_to_vocab(c, w, s)
-            o = v.split(":")
-            c = o[1].strip()
-            w, s = [], []
-        else:
-            o = v.split()
-            assert len(o) == 2, "nearby data should have text and score"
-            w.append(o[0].strip())
-            s.append(float(o[1]))
-    add_word_to_vocab(c, w, s)  # add the last word
-    print(">> Synonyms vocabulary size: %s" % _size)
-
-
-import unittest
-
-# run testcase: python /Users/hain/ai/Synonyms/synonyms/data.py Test.testExample
-class Test(unittest.TestCase):
-    '''
-    
-    '''
-    def setUp(self):
-        pass
-
-    def tearDown(self):
-        pass
-
-    def testExample(self):
-        print("foo")
-
-def test():
-    unittest.main()
-
-if __name__ == '__main__':
-    test()