Reorder columns

app.py

@@ -60,9 +60,13 @@ def get_leaderboard_df(merge_values: bool = True):
                 value = data["results"][first_result_key][first_metric_key]  # gets the value of the first metric
             df.loc[model_revision, task] = value
 
-    # Put IFEval in first column
+    # Put IFEval / BBH / AGIEval in first columns
     ifeval_col = df.pop("Ifeval")
     df.insert(1, "Ifeval", ifeval_col)
+    bbh_col = df.pop("Bbh")
+    df.insert(2, "Bbh", bbh_col)
+    agieval_col = df.pop("Agieval")
+    df.insert(3, "Agieval", agieval_col)
     # Drop rows where every entry is NaN
     df = df.dropna(how="all", axis=0, subset=[c for c in df.columns if c != "Date"])
     df.insert(loc=1, column="Average", value=df.mean(axis=1, numeric_only=True))