update

src/populate.py

@@ -18,8 +18,8 @@ def get_leaderboard_df(results_path: str, requests_path: str, dynamic_path: str,
     #all_data_json.append(baseline_row)
     filter_models_flags(all_data_json)
     df = pd.DataFrame.from_records(all_data_json)
-    print("AutoEvalColumn.average.name",AutoEvalColumn.average.name)
-    df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
+    #print("AutoEvalColumn.average.name",AutoEvalColumn.average.name)
+    #df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
     df = df[cols].round(decimals=2)
 
     # filter out if any of the benchmarks have not been produced