diff --git a/rdagent/core/knowledge_base.py b/rdagent/core/knowledge_base.py
index f4cd9ab5..f8385c1b 100644
--- a/rdagent/core/knowledge_base.py
+++ b/rdagent/core/knowledge_base.py
@@ -13,13 +13,15 @@ class KnowledgeBase:
     def load(self) -> None:
         if self.path is not None and self.path.exists():
             with self.path.open("rb") as f:
-                self.__dict__.update(
-                    pickle.load(f).__dict__,
-                )  # TODO: because we need to align with init function, we need a less hacky way to do this
+                loaded = pickle.load(f)
+                if isinstance(loaded, dict):
+                    self.__dict__.update(loaded)
+                else:
+                    self.__dict__.update(loaded.__dict__)
 
     def dump(self) -> None:
         if self.path is not None:
             self.path.parent.mkdir(parents=True, exist_ok=True)
-            pickle.dump(self, self.path.open("wb"))
+            pickle.dump(self.__dict__, self.path.open("wb"))
         else:
             logger.warning("KnowledgeBase path is not set, dump failed.")
diff --git a/rdagent/scenarios/kaggle/experiment/prompts.yaml b/rdagent/scenarios/kaggle/experiment/prompts.yaml
index b696cd46..528bd68b 100644
--- a/rdagent/scenarios/kaggle/experiment/prompts.yaml
+++ b/rdagent/scenarios/kaggle/experiment/prompts.yaml
@@ -11,8 +11,7 @@ kg_description_template:
       "Competition Features": "Two-line description of the overall features involved within the competition as background."
       "Submission Specifications": "The submission specification & sample submission csv descriptions for the model to output."
       "Submission channel number to each sample": "The number of channels in the output for each sample, e.g., 1 for regression, N for N class classification with probabilities, etc. A Integer. If not specified, it is 1."
-      "Evaluation Description": "A brief description for what metrics are used in evaluation. An explanation of whether a higher score is better or lower is better in terms of performance."
-      "Evaluation Boolean": "True" or "False" (True means the higher score the better (like accuracy); False means the lower value the better (like loss).) 
+      "Evaluation Description": "A brief description of the metrics used in the evaluation. Please note that if `evaluation_metric_direction` is True, it indicates that higher values are better; if False, lower values are preferred."
     }
     Since these might be very similar column names in data like one_hot_encoded columns, you can use some regex to group them together.
 
@@ -22,6 +21,8 @@ kg_description_template:
     {{ competition_descriptions }}
     The raw data information:
     {{ raw_data_information }}
+    Evaluation_metric_direction: 
+    {{ evaluation_metric_direction }}
 
 kg_background: |-
   You are solving a data science tasks and the type of the competition is {{ competition_type }}.
diff --git a/rdagent/scenarios/kaggle/experiment/scenario.py b/rdagent/scenarios/kaggle/experiment/scenario.py
index 3906e2d5..2e32edf7 100644
--- a/rdagent/scenarios/kaggle/experiment/scenario.py
+++ b/rdagent/scenarios/kaggle/experiment/scenario.py
@@ -50,7 +50,8 @@ class KGScenario(Scenario):
         self.submission_specifications = None
         self.model_output_channel = None
         self.evaluation_desc = None
-        self.evaluation_metric_direction = None
+        self.leaderboard = leaderboard_scores(competition)
+        self.evaluation_metric_direction = float(self.leaderboard[0]) > float(self.leaderboard[-1])
         self.vector_base = None
         self.mini_case = KAGGLE_IMPLEMENT_SETTING.mini_case
         self._analysis_competition_description()
@@ -75,8 +76,6 @@ class KGScenario(Scenario):
         self.confidence_parameter = 1.0
         self.initial_performance = 0.0
 
-        self.leaderboard = leaderboard_scores(competition)
-
     def _analysis_competition_description(self):
         sys_prompt = (
             Environment(undefined=StrictUndefined)
@@ -90,6 +89,7 @@ class KGScenario(Scenario):
             .render(
                 competition_descriptions=self.competition_descriptions,
                 raw_data_information=self._source_data,
+                evaluation_metric_direction=self.evaluation_metric_direction,
             )
         )
 
@@ -111,9 +111,6 @@ class KGScenario(Scenario):
         self.evaluation_desc = response_json_analysis.get(
             "Evaluation Description", "No evaluation specification provided."
         )
-        self.evaluation_metric_direction = response_json_analysis.get(
-            "Evaluation Boolean", "No evaluation specification provided."
-        )
 
     def get_competition_full_desc(self) -> str:
         evaluation_direction = "higher the better" if self.evaluation_metric_direction else "lower the better"