s

src/populate.py

@@ -17,7 +17,9 @@ def get_leaderboard_df(results_path: str, requests_path: str, cols: list, benchm
     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)]
+    print('X1', df)
+    df2 = df[has_no_nan_values(df, benchmark_cols)]
+    print('X2', df2)
     return raw_data, df