Update src/populate.py

src/populate.py

@@ -15,7 +15,8 @@ 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) if AutoEvalColumn.average.name in df.columns else df
-    df = df[cols].round(decimals=2)
+    filtered_cols = [col for col in cols if col in df.columns]
+    df = df[filtered_cols].round(decimals=2)
 
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]