diff --git a/scikit-learn/svm/README.md b/scikit-learn/svm/README.md
index e72a5f1..ecc92d6 100644
--- a/scikit-learn/svm/README.md
+++ b/scikit-learn/svm/README.md
@@ -54,6 +54,48 @@ predict(X)
 > 
 > Class labels for samples in X.
 
+## Test and train data 
+
+```python
+import numpy as np
+
+rng = np.random.default_rng(1)
+
+a_x: np.ndarray = rng.normal(1.5, 1.0, size=(1000))[:, np.newaxis]
+a_y: np.ndarray = rng.normal(3.0, 1.0, size=(1000))[:, np.newaxis]
+data_train_0: np.ndarray = np.concatenate((a_x, a_y), axis=-1)
+class_train_0: np.ndarray = np.full((data_train_0.shape[0],), -1)
+
+a_x: np.ndarray = rng.normal(1.5, 1.0, size=(1000))[:, np.newaxis]
+a_y: np.ndarray = rng.normal(3.0, 1.0, size=(1000))[:, np.newaxis]
+data_test_0: np.ndarray = np.concatenate((a_x, a_y), axis=-1)
+class_test_0: np.ndarray = np.full((data_test_0.shape[0],), -1)
+del a_x
+del a_y
+
+a_x: np.ndarray = rng.normal(0.0, 1.0, size=(1000))[:, np.newaxis]
+a_y: np.ndarray = rng.normal(0.0, 1.0, size=(1000))[:, np.newaxis]
+data_train_1: np.ndarray = np.concatenate((a_x, a_y), axis=-1)
+class_train_1: np.ndarray = np.full((data_train_0.shape[0],), +1)
+
+a_x: np.ndarray = rng.normal(0.0, 1.0, size=(1000))[:, np.newaxis]
+a_y: np.ndarray = rng.normal(0.0, 1.0, size=(1000))[:, np.newaxis]
+data_test_1: np.ndarray = np.concatenate((a_x, a_y), axis=-1)
+class_test_1: np.ndarray = np.full((data_test_0.shape[0],), +1)
+del a_x
+del a_y
+
+data_train: np.ndarray = np.concatenate((data_train_0, data_train_1), axis=0)
+data_test: np.ndarray = np.concatenate((data_test_0, data_test_1), axis=0)
+label_train: np.ndarray = np.concatenate((class_train_0, class_train_1), axis=0)
+label_test: np.ndarray = np.concatenate((class_test_0, class_test_1), axis=0)
+
+np.save("data_train.npy", data_train)
+np.save("data_test.npy", data_test)
+np.save("label_train.npy", label_train)
+np.save("label_test.npy", label_test)
+```
+
 ```python
 ```