1. add eval_func for sela and compatibility to others

2. llm extract score (use all code block and execution results)
3. add argument for custom dataset dir
4. dataset custom requirement support

expo/utils.py

@@ -51,6 +51,8 @@ def get_exp_pool_path(task_name, data_config, pool_name="analysis_pool"):
             f"Dataset {task_name} not found in config file. Available datasets: {data_config['datasets'].keys()}"
         )
     exp_pool_path = os.path.join(data_path, f"{pool_name}.json")
+    if not os.path.exists(exp_pool_path):
+        return None
     return exp_pool_path