diff --git a/onn_mnist.py b/onn_mnist.py
index 1cff3b7..c321bfe 100755
--- a/onn_mnist.py
+++ b/onn_mnist.py
@@ -77,26 +77,6 @@ else:
     mnist_classes = 10
 
 def get_mnist(fn='mnist.npz'):
-    import os.path
-    if fn == 'mnist.npz' and not os.path.exists(fn):
-        from keras.datasets import mnist
-        from keras.utils.np_utils import to_categorical
-        (X_train, y_train), (X_test, y_test) = mnist.load_data()
-        X_train = X_train.reshape(X_train.shape[0], 1, mnist_dim, mnist_dim)
-        X_test = X_test.reshape(X_test.shape[0], 1, mnist_dim, mnist_dim)
-        X_train = X_train.astype('float32') / 255
-        X_test = X_test.astype('float32') / 255
-        Y_train = to_categorical(y_train, mnist_classes)
-        Y_test = to_categorical(y_test, mnist_classes)
-        np.savez_compressed(fn,
-                            X_train=X_train,
-                            Y_train=Y_train,
-                            X_test=X_test,
-                            Y_test=Y_test)
-        lament("mnist successfully saved to", fn)
-        lament("please re-run this program to continue")
-        sys.exit(1)
-
     with np.load(fn) as f:
         return f['X_train'], f['Y_train'], f['X_test'], f['Y_test']