update

src/populate.py

@@ -24,8 +24,8 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
         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
-    df = df[has_no_nan_values(df, benchmark_cols)]
+        # filter out if any of the benchmarks have not been produced
+        df = df[has_no_nan_values(df, benchmark_cols)]
     return raw_data, df