diff --git a/cornac/datasets/movielens.py b/cornac/datasets/movielens.py
index 99aa92b4..6411ce4a 100644
--- a/cornac/datasets/movielens.py
+++ b/cornac/datasets/movielens.py
@@ -28,28 +28,28 @@
 MovieLens = namedtuple("MovieLens", ["url", "unzip", "path", "sep", "skip"])
 ML_DATASETS = {
     "100K": MovieLens(
-        "http://files.grouplens.org/datasets/movielens/ml-100k/u.data",
+        "https://static.preferred.ai/cornac/datasets/movielens/ml-100k/u.data",
         False,
         "ml-100k/u.data",
         "\t",
         0,
     ),
     "1M": MovieLens(
-        "http://files.grouplens.org/datasets/movielens/ml-1m.zip",
+        "https://static.preferred.ai/cornac/datasets/movielens/ml-1m.zip",
         True,
         "ml-1m/ratings.dat",
         "::",
         0,
     ),
     "10M": MovieLens(
-        "http://files.grouplens.org/datasets/movielens/ml-10m.zip",
+        "https://static.preferred.ai/cornac/datasets/movielens/ml-10m.zip",
         True,
         "ml-10M100K/ratings.dat",
         "::",
         0,
     ),
     "20M": MovieLens(
-        "http://files.grouplens.org/datasets/movielens/ml-20m.zip",
+        "https://static.preferred.ai/cornac/datasets/movielens/ml-20m.zip",
         True,
         "ml-20m/ratings.csv",
         ",",
diff --git a/examples/given_data.py b/examples/given_data.py
index a3b533ba..9975ab22 100644
--- a/examples/given_data.py
+++ b/examples/given_data.py
@@ -24,10 +24,10 @@
 # Download MovieLens 100K provided train and test sets
 reader = Reader()
 train_data = reader.read(
-    cache(url="http://files.grouplens.org/datasets/movielens/ml-100k/u1.base")
+    cache(url="https://static.preferred.ai/cornac/datasets/movielens/ml-100k/u1.base")
 )
 test_data = reader.read(
-    cache(url="http://files.grouplens.org/datasets/movielens/ml-100k/u1.test")
+    cache(url="https://static.preferred.ai/cornac/datasets/movielens/ml-100k/u1.test")
 )
 
 # Instantiate a Base evaluation method using the provided train and test sets