Revert change

src/populate.py

@@ -17,8 +17,8 @@ def get_leaderboard_df(results_path: str, cols: list, benchmark_cols: list) -> p
 
     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.round(decimals=2)
+    df = df[cols].round(decimals=2)
+    # df = df.round(decimals=2)
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
     return raw_data, df