update file structures

reproduction/CNN-sentence_classification/dataset.py

@@ -71,20 +71,19 @@ class MRDataset(Dataset):
 
     def word_embeddings(self, path="./GoogleNews-vectors-negative300.bin/GoogleNews-vectors-negative300.bin"):
         # establish from google
-	    model = gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)
+        model = gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)
 
-    print('Please wait ... (it could take a while to load the file : {})'.format(path))
-    word_dict = self.word2id_dict
-    embedding_weights = np.random.uniform(-0.25, 0.25, (len(self.word2id_dict), 300))
+        print('Please wait ... (it could take a while to load the file : {})'.format(path))
+        word_dict = self.word2id_dict
+        embedding_weights = np.random.uniform(-0.25, 0.25, (len(self.word2id_dict), 300))
 
-    for word in word_dict:
-        word_id = word_dict[word]
-        if word in model.wv.vocab:
-            embedding_weights[word_id, :] = model[word]
-    return embedding_weights
+        for word in word_dict:
+            word_id = word_dict[word]
+            if word in model.wv.vocab:
+                embedding_weights[word_id, :] = model[word]
+            return embedding_weights
 
     def __len__(self):
-
         return len(self.MRDataset_frame)
 
     def __getitem__(self,idx):