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diff --git a/‎sklearn/datasets/tests/data/openml/1/api-v1-json-data-features-1.json.gz
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diff --git a/‎sklearn/datasets/tests/test_openml.py
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@@ -511,6 +511,12 @@ def fetch_openml(name=None, version='active', data_id=None, data_home=None,
                 data_description['version'],
                 data_description['name'],
                 data_description['url']))
+    if 'error' in data_description:
+        warn("OpenML registered a problem with the dataset. It might be "
+             "unusable. Error: {}".format(data_description['error']))
+    if 'warning' in data_description:
+        warn("OpenML raised a warning on the dataset. It might be "
+             "unusable. Warning: {}".format(data_description['warning']))
 
     # download data features, meta-info about column types
     features_list = _get_data_features(data_id, data_home)
 
@@ -607,6 +607,30 @@ def test_string_attribute(monkeypatch, gzip_response):
                          fetch_openml, data_id=data_id, cache=False)
 
 
+@pytest.mark.parametrize('gzip_response', [True, False])
+def test_dataset_with_openml_error(monkeypatch, gzip_response):
+    data_id = 1
+    _monkey_patch_webbased_functions(monkeypatch, data_id, gzip_response)
+    assert_warns_message(
+        UserWarning,
+        "OpenML registered a problem with the dataset. It might be unusable. "
+        "Error:",
+        fetch_openml, data_id=data_id, cache=False
+    )
+
+
+@pytest.mark.parametrize('gzip_response', [True, False])
+def test_dataset_with_openml_warning(monkeypatch, gzip_response):
+    data_id = 3
+    _monkey_patch_webbased_functions(monkeypatch, data_id, gzip_response)
+    assert_warns_message(
+        UserWarning,
+        "OpenML raised a warning on the dataset. It might be unusable. "
+        "Warning:",
+        fetch_openml, data_id=data_id, cache=False
+    )
+
+
 @pytest.mark.parametrize('gzip_response', [True, False])
 def test_illegal_column(monkeypatch, gzip_response):
     data_id = 61