Record final dataframe

src/populate.py

@@ -18,6 +18,7 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
 
     # filter out if any of the benchmarks have not been produced
     df = df[has_no_nan_values(df, benchmark_cols)]
+    print(df)
     return raw_data, df