Order columns

app.py

@@ -87,14 +87,21 @@ def get_leaderboard_df(merge_values: bool = True):
                 df.loc[model_revision, task] = value
 
     # Put IFEval / BBH / AGIEval / AlpacaEval in first columns
+    alpaca_col = df.pop("Alpaca_eval")
+    df.insert(1, "Alpaca_eval", alpaca_col)
     alpaca_col = df.pop("Alpaca_eval_lc")
-    df.insert(1, "Alpaca_eval_lc", alpaca_col)
+    df.insert(2, "Alpaca_eval_lc", alpaca_col)
     ifeval_col = df.pop("Ifeval")
-    df.insert(2, "Ifeval", ifeval_col)
+    df.insert(3, "Ifeval", ifeval_col)
     bbh_col = df.pop("Bbh")
-    df.insert(3, "Bbh", bbh_col)
+    df.insert(4, "Bbh", bbh_col)
     agieval_col = df.pop("Agieval")
-    df.insert(4, "Agieval", agieval_col)
+    df.insert(5, "Agieval", agieval_col)
+    gsm8k_col = df.pop("Gsm8k")
+    df.insert(6, "Gsm8k", gsm8k_col)
+    mmlu_col = df.pop("Mmlu")
+    df.insert(7, "Mmlu", mmlu_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))