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diff --git a/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py b/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py
new file mode 100644
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+++ b/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py
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+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Tests for `tf.data.experimental.RandomDataset()`."""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from absl.testing import parameterized
+
+from tensorflow.python.data.experimental.ops import random_ops
+from tensorflow.python.data.kernel_tests import test_base
+from tensorflow.python.data.ops import dataset_ops
+from tensorflow.python.framework import errors
+
+
+class RandomDatasetTest(test_base.DatasetTestBase, parameterized.TestCase):
+
+  @parameterized.named_parameters(
+      ("NoSeed", None),
+      ("WithSeed", 42),
+  )
+  def testZipRandomDataset(self, seed):
+    dataset = random_ops.RandomDataset(seed=seed).take(30)
+    dataset = dataset_ops.Dataset.zip((dataset, dataset))
+    iterator = dataset.make_one_shot_iterator()
+    next_element = iterator.get_next()
+
+    with self.cached_session() as sess:
+      for _ in range(30):
+        x, y = sess.run(next_element)
+        self.assertEqual(x, y)
+      with self.assertRaises(errors.OutOfRangeError):
+        sess.run(next_element)