diff --git a/Jenkinsfile b/Jenkinsfile
index a83cf3f..91a827c 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -2,7 +2,7 @@ pipeline {
   agent { 
     dockerfile {
       filename 'Dockerfile'
-      args '-u root -v $HOME:/app'
+      args '-u root'
     }
   }
   
diff --git a/create-dataset.py b/create-dataset.py
index 00ea4e0..e307f24 100644
--- a/create-dataset.py
+++ b/create-dataset.py
@@ -69,11 +69,11 @@ def save_undersample_data(
     y_train_undersample,
     y_test_undersample,
 ):
-    undersample_data.to_csv("/data/undersample_data.csv", index=False)
-    X_train_undersample.to_csv("/data/X_train_undersample.csv", index=False)
-    X_test_undersample.to_csv("/data/X_test_undersample.csv", index=False)
-    y_train_undersample.to_csv("/data/y_train_undersample.csv", index=False)
-    y_test_undersample.to_csv("/data/y_test_undersample.csv", index=False)
+    undersample_data.to_csv("data/undersample_data.csv", index=False)
+    X_train_undersample.to_csv("data/X_train_undersample.csv", index=False)
+    X_test_undersample.to_csv("data/X_test_undersample.csv", index=False)
+    y_train_undersample.to_csv("data/y_train_undersample.csv", index=False)
+    y_test_undersample.to_csv("data/y_test_undersample.csv", index=False)
 
 
 def split_whole_data(df):
@@ -87,16 +87,16 @@ def split_whole_data(df):
 
 
 def save_whole_data(df, X_train, X_test, y_train, y_test):
-    df.to_csv("/data/creditcard.csv", index=False)
-    X_train.to_csv("/data/X_train.csv", index=False)
-    X_test.to_csv("/data/X_test.csv", index=False)
-    y_train.to_csv("/data/y_train.csv", index=False)
-    y_test.to_csv("/data/y_test.csv", index=False)
+    df.to_csv("data/creditcard.csv", index=False)
+    X_train.to_csv("data/X_train.csv", index=False)
+    X_test.to_csv("data/X_test.csv", index=False)
+    y_train.to_csv("data/y_train.csv", index=False)
+    y_test.to_csv("data/y_test.csv", index=False)
 
 
 def main():
     download_kaggle_dataset()
-    os.makedirs("/data", exist_ok=True)
+    os.makedirs("data", exist_ok=True)
 
     df = load_data("creditcard.csv")
     df = normalize_data(df)