update log

src/leaderboard/read_evals.py

@@ -214,7 +214,9 @@ def get_raw_eval_results(results_path: str, requests_path: str, dynamic_path: st
     eval_results = {}
     for model_result_filepath in model_result_filepaths:
         # Creation of result
+        print("model_result_filepath",model_result_filepath)
         eval_result = EvalResult.init_from_json_file(model_result_filepath)
+        print("eval_resul",eval_resul)
         eval_result.update_with_request_file(requests_path)
         if eval_result.full_model in dynamic_data:
                 eval_result.update_with_dynamic_file_dict(dynamic_data[eval_result.full_model])

src/populate.py

@@ -11,6 +11,8 @@ from src.leaderboard.filter_models import filter_models_flags
 
 def get_leaderboard_df(results_path: str, requests_path: str, dynamic_path: str,cols: list, benchmark_cols: list) -> pd.DataFrame:
     """Creates a dataframe from all the individual experiment results"""
+    print("results_path", "requests_path", "dynamic_path")
+    print(results_path, requests_path, dynamic_path)
     raw_data = get_raw_eval_results(results_path, requests_path, dynamic_path)
     print("raw_data", raw_data)
     all_data_json = [v.to_dict() for v in raw_data]