updated domain names

app.py

@@ -34,7 +34,7 @@ repo = snapshot_download(
 
 def avg_over_rewardbench_v2(dataframe_core):
     domain_cols = ['chat', 'factuality', 'safety', 'math', 'precise if', 'ties']
-    domain_weights=[1,1,1,1,1,1]
+    domain_weights=[0,1,1,1,1,1]
     new_df = dataframe_core.copy()
 
     # for main subsets, keys in subset_mapping, take the weighted avg by example_counts and store for the models