update splits

app.py

@@ -47,7 +47,7 @@ def avg_over_herm(dataframe):
     # for each subset, avg the columns that have the subset in the column name, then add a new column with subset name and avg
     for subset in subsets:
         if subset == "refusals":
-            subset_cols = ["refusals-dangerous", "refusals-offensive", "donotanswer","xstest"]
+            subset_cols = ["refusals-dangerous", "refusals-offensive", "donotanswer","xstest-should-refuse", "xstest-shouldnt-refuse"]
         else:
             subset_cols = [col for col in new_df.columns if subset in col]
         new_df[subset] = np.round(np.nanmean(new_df[subset_cols].values, axis=1), 2)