Added presentation, report; Cleaned

Author: ffs97

.gitignore

@@ -17,3 +17,6 @@
 
 *.tar.*
 *.zip
+*.gz*
+
+*-env*

code/includes/config.py

@@ -30,7 +30,7 @@
 
 clustering = True
 
-model_name = "k-match-lstm"
+model_name = "weighted-k-match-lstm"
 
 data_dir = "data/squad/"
 train_dir = "model/" + model_name + "/"

code/includes/utils.py

@@ -3,7 +3,7 @@
 
 
 class squad_dataset(object):
-    def __init__(self, question_file, context_file, answer_file, label_file, root="", batch_size=1):
+    def __init__(self, question_file, context_file, answer_file, label_file, root="", batch_size=1, split=True):
         self.question_file = root + question_file
         self.context_file = root + context_file
         self.answer_file = root + answer_file
@@ -12,12 +12,14 @@ def __init__(self, question_file, context_file, answer_file, label_file, root=""
         self.batch_size = batch_size
 
         self.length = None
+        self.split = split
 
     def __iter_file(self, filename):
         with open(filename) as f:
             for line in f:
-                line = line.strip().split(" ")
-                line = map(lambda tok: int(tok), line)
+                if self.split:
+                    line = line.strip().split(" ")
+                    line = map(lambda tok: int(tok), line)
                 yield line
 
     def __iter__(self):