expose build_dict in imikolov dataset, fix bug that len(word_dict) is not...

expose build_dict in imikolov dataset, fix bug that len(word_dict) is not bigger than all index in word_dict.

python/paddle/v2/dataset/imikolov.py

@@ -17,7 +17,7 @@ imikolov's simple dataset: http://www.fit.vutbr.cz/~imikolov/rnnlm/
 import paddle.v2.dataset.common
 import tarfile
 
-__all__ = ['train', 'test']
+__all__ = ['train', 'test', 'build_dict']
 
 URL = 'http://www.fit.vutbr.cz/~imikolov/rnnlm/simple-examples.tgz'
 MD5 = '30177ea32e27c525793142b6bf2c8e2d'
@@ -37,7 +37,9 @@ def word_count(f, word_freq=None):
     return word_freq
 
 
-def build_dict(train_filename, test_filename):
+def build_dict():
+    train_filename = './simple-examples/data/ptb.train.txt'
+    test_filename = './simple-examples/data/ptb.valid.txt'
     with tarfile.open(
             paddle.v2.dataset.common.download(
                 paddle.v2.dataset.imikolov.URL, 'imikolov',
@@ -45,27 +47,22 @@ def build_dict(train_filename, test_filename):
         trainf = tf.extractfile(train_filename)
         testf = tf.extractfile(test_filename)
         word_freq = word_count(testf, word_count(trainf))
+        if '<unk>' in word_freq:
+            # remove <unk> for now, since we will set it as last index
+            del word_freq['<unk>']
 
         TYPO_FREQ = 50
         word_freq = filter(lambda x: x[1] > TYPO_FREQ, word_freq.items())
 
-        dictionary = sorted(word_freq, key=lambda x: (-x[1], x[0]))
-        words, _ = list(zip(*dictionary))
+        word_freq_sorted = sorted(word_freq, key=lambda x: (-x[1], x[0]))
+        words, _ = list(zip(*word_freq_sorted))
         word_idx = dict(zip(words, xrange(len(words))))
         word_idx['<unk>'] = len(words)
 
     return word_idx
 
 
-word_idx = {}
-
-
-def reader_creator(filename, n):
-    global word_idx
-    if len(word_idx) == 0:
-        word_idx = build_dict('./simple-examples/data/ptb.train.txt',
-                              './simple-examples/data/ptb.valid.txt')
-
+def reader_creator(filename, word_idx, n):
     def reader():
         with tarfile.open(
                 paddle.v2.dataset.common.download(
@@ -84,9 +81,9 @@ def reader_creator(filename, n):
     return reader
 
 
-def train(n):
-    return reader_creator('./simple-examples/data/ptb.train.txt', n)
+def train(word_idx, n):
+    return reader_creator('./simple-examples/data/ptb.train.txt', word_idx, n)
 
 
-def test(n):
-    return reader_creator('./simple-examples/data/ptb.valid.txt', n)
+def test(word_idx, n):
+    return reader_creator('./simple-examples/data/ptb.valid.txt', word_idx, n)

python/paddle/v2/dataset/tests/imikolov_test.py

 import paddle.v2.dataset.imikolov
 import unittest
 
+WORD_DICT = paddle.v2.dataset.imikolov.build_dict()
+
 
 class TestMikolov(unittest.TestCase):
     def check_reader(self, reader, n):
@@ -9,11 +11,15 @@ class TestMikolov(unittest.TestCase):
 
     def test_train(self):
         n = 5
-        self.check_reader(paddle.v2.dataset.imikolov.train(n), n)
+        self.check_reader(paddle.v2.dataset.imikolov.train(WORD_DICT, n), n)
 
     def test_test(self):
         n = 5
-        self.check_reader(paddle.v2.dataset.imikolov.test(n), n)
+        self.check_reader(paddle.v2.dataset.imikolov.test(WORD_DICT, n), n)
+
+    def test_total(self):
+        _, idx = zip(*WORD_DICT.items())
+        self.assertEqual(sorted(idx)[-1], len(WORD_DICT) - 1)
 
 
 if __name__ == '__main__':