update

src/populate.py

@@ -21,7 +21,13 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
 
     df = pd.DataFrame.from_records(all_data_json)
     df = df.sort_values(by=[AutoEvalColumn.average.name], ascending=False)
-    df = df[cols].round(decimals=2)
+    
+    # df = df[cols].round(decimals=2)
+    for col in cols:
+        if col in df.columns:
+            df[col] = df[col].round(decimals=2)
+        else:
+            df[col] = 0.0
 
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]