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utils/dataset_verbonly.py

@@ -114,6 +114,7 @@ class RefDataset(Dataset):
         self.length = info[dataset][split]
         self.env = None
 
+        self.ROOT = '/shared/s1/lab09/chaeyun/VRIS'
         self.exclude_position = args.exclude_pos
         self.metric_learning = args.metric_learning
         self.exclude_multiobj = args.exclude_multiobj
@@ -135,20 +136,20 @@ class RefDataset(Dataset):
         if not self.exclude_multiobj and not self.exclude_position :
             return None
         elif self.exclude_position:
-            multiobj_path = '/home/s1/chaeyunkim/VerbCentric_CY/multiobj_ov2_nopos.txt'
+            multiobj_path = os.path.join(self.ROOT, 'multiobj_ov2_nopos.txt')
         elif self.exclude_multiobj :
-            multiobj_path = '/home/s1/chaeyunkim/VerbCentric_CY/multiobj_ov3.txt'
+            multiobj_path = os.path.join(self.ROOT, 'multiobj_ov3.txt')
         with open(multiobj_path, 'r') as f:
             return [int(line.strip()) for line in f.readlines()]
 
     def _load_metadata(self):
         # Load metadata for hard positive verb phrases, hard negative queries
         if 'op2' in self.metric_mode :
-            hardpos_path = '/home/s1/chaeyunkim/VerbCentric_CY/hardpos_verbphrase_op2_1024upd.json'
+            hardpos_path = os.path.join(self.ROOT, 'hardpos_verbphrase_op2_1024upd.json') 
         else :
-            hardpos_path = '/home/s1/chaeyunkim/VerbCentric_CY/hardpos_verbphrase_0906upd.json'
+            hardpos_path = os.path.join(self.ROOT, 'hardpos_verbphrase_0906upd.json')
         # do not use hardneg_path
-        hardneg_path = '/home/s1/chaeyunkim/VerbCentric_CY/hardneg_verb.json'
+        hardneg_path = os.path.join(self.ROOT, 'hardneg_verb.json')
 
         with open(hardpos_path, 'r', encoding='utf-8') as f:
             hardpos_json = json.load(f)