diff --git a/rdagent/components/coder/factor_coder/factor.py b/rdagent/components/coder/factor_coder/factor.py
index 10c354e9..b1685cd3 100644
--- a/rdagent/components/coder/factor_coder/factor.py
+++ b/rdagent/components/coder/factor_coder/factor.py
@@ -138,7 +138,7 @@ class FactorFBWorkspace(FBWorkspace):
                 )
             elif self.target_task.version == 2:
                 # TODO you can change the name of the data folder for a better understanding
-                source_data_path = Path(FACTOR_IMPLEMENT_SETTINGS.data_folder) / KAGGLE_IMPLEMENT_SETTING.competition
+                source_data_path = Path(KAGGLE_IMPLEMENT_SETTING.local_data_path) / KAGGLE_IMPLEMENT_SETTING.competition
 
             source_data_path.mkdir(exist_ok=True, parents=True)
             code_path = self.workspace_path / f"factor.py"
diff --git a/rdagent/scenarios/kaggle/experiment/forest-cover-type-prediction_template/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/forest-cover-type-prediction_template/fea_share_preprocess.py
index 251c322b..464c9bac 100644
--- a/rdagent/scenarios/kaggle/experiment/forest-cover-type-prediction_template/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/forest-cover-type-prediction_template/fea_share_preprocess.py
@@ -27,13 +27,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("X_train.pkl"):
-        X_train = pd.read_pickle("X_train.pkl")
-        X_valid = pd.read_pickle("X_valid.pkl")
-        y_train = pd.read_pickle("y_train.pkl")
-        y_valid = pd.read_pickle("y_valid.pkl")
-        X_test = pd.read_pickle("X_test.pkl")
-        others = pd.read_pickle("others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
 
         return X_train, X_valid, y_train, y_valid, X_test, *others
 
diff --git a/rdagent/scenarios/kaggle/experiment/meta_tpl/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/meta_tpl/fea_share_preprocess.py
index d996a5b9..c0ef8819 100644
--- a/rdagent/scenarios/kaggle/experiment/meta_tpl/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/meta_tpl/fea_share_preprocess.py
@@ -84,13 +84,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("/kaggle/preprocessed_data/X_train.pkl"):
-        X_train = pd.read_pickle("/kaggle/preprocessed_data/X_train.pkl")
-        X_valid = pd.read_pickle("/kaggle/preprocessed_data/X_valid.pkl")
-        y_train = pd.read_pickle("/kaggle/preprocessed_data/y_train.pkl")
-        y_valid = pd.read_pickle("/kaggle/preprocessed_data/y_valid.pkl")
-        X_test = pd.read_pickle("/kaggle/preprocessed_data/X_test.pkl")
-        others = pd.read_pickle("/kaggle/preprocessed_data/others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
 
         return X_train, X_valid, y_train, y_valid, X_test, *others
     X_train, X_valid, y_train, y_valid = prepreprocess()
diff --git a/rdagent/scenarios/kaggle/experiment/playground-series-s4e8_template/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/playground-series-s4e8_template/fea_share_preprocess.py
index 57cbd662..c0ef8819 100644
--- a/rdagent/scenarios/kaggle/experiment/playground-series-s4e8_template/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/playground-series-s4e8_template/fea_share_preprocess.py
@@ -84,13 +84,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("X_train.pkl"):
-        X_train = pd.read_pickle("X_train.pkl")
-        X_valid = pd.read_pickle("X_valid.pkl")
-        y_train = pd.read_pickle("y_train.pkl")
-        y_valid = pd.read_pickle("y_valid.pkl")
-        X_test = pd.read_pickle("X_test.pkl")
-        others = pd.read_pickle("others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
 
         return X_train, X_valid, y_train, y_valid, X_test, *others
     X_train, X_valid, y_train, y_valid = prepreprocess()
diff --git a/rdagent/scenarios/kaggle/experiment/playground-series-s4e9_template/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/playground-series-s4e9_template/fea_share_preprocess.py
index 34503326..21fc1652 100644
--- a/rdagent/scenarios/kaggle/experiment/playground-series-s4e9_template/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/playground-series-s4e9_template/fea_share_preprocess.py
@@ -81,13 +81,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("X_train.pkl"):
-        X_train = pd.read_pickle("X_train.pkl")
-        X_valid = pd.read_pickle("X_valid.pkl")
-        y_train = pd.read_pickle("y_train.pkl")
-        y_valid = pd.read_pickle("y_valid.pkl")
-        X_test = pd.read_pickle("X_test.pkl")
-        others = pd.read_pickle("others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
 
         return X_train, X_valid, y_train, y_valid, X_test, *others
     X_train, X_valid, y_train, y_valid = prepreprocess()
diff --git a/rdagent/scenarios/kaggle/experiment/scenario.py b/rdagent/scenarios/kaggle/experiment/scenario.py
index 20f63f14..dc44f8e6 100644
--- a/rdagent/scenarios/kaggle/experiment/scenario.py
+++ b/rdagent/scenarios/kaggle/experiment/scenario.py
@@ -97,7 +97,7 @@ Competition Features: {self.competition_features}
 
     @property
     def source_data(self) -> str:
-        data_folder = Path(FACTOR_IMPLEMENT_SETTINGS.data_folder) / self.competition
+        data_folder = Path(KAGGLE_IMPLEMENT_SETTING.local_data_path) / self.competition
 
         if (data_folder / "X_valid.pkl").exists():
             X_valid = pd.read_pickle(data_folder / "X_valid.pkl")
diff --git a/rdagent/scenarios/kaggle/experiment/sf-crime_template/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/sf-crime_template/fea_share_preprocess.py
index 988e9b70..e75786c9 100644
--- a/rdagent/scenarios/kaggle/experiment/sf-crime_template/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/sf-crime_template/fea_share_preprocess.py
@@ -102,13 +102,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("X_train.pkl"):
-        X_train = pd.read_pickle("X_train.pkl")
-        X_valid = pd.read_pickle("X_valid.pkl")
-        y_train = pd.read_pickle("y_train.pkl")
-        y_valid = pd.read_pickle("y_valid.pkl")
-        X_test = pd.read_pickle("X_test.pkl")
-        others = pd.read_pickle("others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
         return X_train, X_valid, y_train, y_valid, X_test, *others
 
     X_train, X_valid, y_train, y_valid, test, category_encoder, test_ids = prepreprocess()
diff --git a/rdagent/scenarios/kaggle/experiment/spaceship-titanic_template/fea_share_preprocess.py b/rdagent/scenarios/kaggle/experiment/spaceship-titanic_template/fea_share_preprocess.py
index 9b62863c..4d8ffcc0 100644
--- a/rdagent/scenarios/kaggle/experiment/spaceship-titanic_template/fea_share_preprocess.py
+++ b/rdagent/scenarios/kaggle/experiment/spaceship-titanic_template/fea_share_preprocess.py
@@ -78,13 +78,13 @@ def preprocess_script():
     """
     This method applies the preprocessing steps to the training, validation, and test datasets.
     """
-    if os.path.exists("X_train.pkl"):
-        X_train = pd.read_pickle("X_train.pkl")
-        X_valid = pd.read_pickle("X_valid.pkl")
-        y_train = pd.read_pickle("y_train.pkl")
-        y_valid = pd.read_pickle("y_valid.pkl")
-        X_test = pd.read_pickle("X_test.pkl")
-        others = pd.read_pickle("others.pkl")
+    if os.path.exists("/kaggle/input/X_train.pkl"):
+        X_train = pd.read_pickle("/kaggle/input/X_train.pkl")
+        X_valid = pd.read_pickle("/kaggle/input/X_valid.pkl")
+        y_train = pd.read_pickle("/kaggle/input/y_train.pkl")
+        y_valid = pd.read_pickle("/kaggle/input/y_valid.pkl")
+        X_test = pd.read_pickle("/kaggle/input/X_test.pkl")
+        others = pd.read_pickle("/kaggle/input/others.pkl")
 
         return X_train, X_valid, y_train, y_valid, X_test, *others
     X_train, X_valid, y_train, y_valid = prepreprocess()
diff --git a/rdagent/scenarios/kaggle/experiment/workspace.py b/rdagent/scenarios/kaggle/experiment/workspace.py
index 93b6bfab..c6d4633e 100644
--- a/rdagent/scenarios/kaggle/experiment/workspace.py
+++ b/rdagent/scenarios/kaggle/experiment/workspace.py
@@ -69,15 +69,13 @@ class KGFBWorkspace(FBWorkspace):
         kgde = KGDockerEnv(KAGGLE_IMPLEMENT_SETTING.competition)
         kgde.prepare()
 
-        running_extra_volume = {
-            (
-                Path(FACTOR_IMPLEMENT_SETTINGS.data_folder) / KAGGLE_IMPLEMENT_SETTING.competition
-            ).absolute(): "/kaggle/preprocessed_data"
-        }
+        running_extra_volume = {}
         if KAGGLE_IMPLEMENT_SETTING.competition:
-            running_extra_volume[
-                KAGGLE_IMPLEMENT_SETTING.local_data_path + "/" + KAGGLE_IMPLEMENT_SETTING.competition
-            ] = "/kaggle/input"
+            running_extra_volume = {
+                KAGGLE_IMPLEMENT_SETTING.local_data_path + "/" + KAGGLE_IMPLEMENT_SETTING.competition: "/kaggle/input"
+            }
+        else:
+            running_extra_volume = {}
 
         execute_log = kgde.run(
             local_path=str(self.workspace_path),