updated domain names

app.py

@@ -33,8 +33,8 @@ repo = snapshot_download(
 )
 
 def avg_over_rewardbench_v2(dataframe_core):
-    domain_cols = ['chat:random', 'chat:same model', 'factuality:random', 'factuality:same model', 'coconot/safety', 'math', 'precise instruction following', 'ties']
-    domain_weights=[0, 0, 1, 1, 1, 1, 1, 0]
+    domain_cols = ['chat', 'factuality', 'safety', 'math', 'precise if', 'ties']
+    domain_weights=[1,1,1,1,1,1]
     new_df = dataframe_core.copy()
 
     # for main subsets, keys in subset_mapping, take the weighted avg by example_counts and store for the models