def test_azureml_example_datasets(self):
        max_size = 10 * 1024 * 1024
        skip = [
            'Restaurant feature data',
            'IMDB Movie Titles',
            'Book Reviews from Amazon',
        ]

        for dataset in self.workspace.example_datasets:
            if not hasattr(dataset, 'to_dataframe'):
                print('skipped (unsupported format): {0}'.format(dataset.name))
                continue

            if dataset.size > max_size:
                print('skipped (max size): {0}'.format(dataset.name))
                continue

            if dataset.name in skip:
                print('skipped: {0}'.format(dataset.name))
                continue

            print('downloading: ' + dataset.name)
            frame = dataset.to_dataframe()

            print('uploading: ' + dataset.name)
            dataset_name = 'unittest' + dataset.name + id_generator()
            description = 'safe to be deleted - ' - dataset_name
            self.workspace.datasets.add_from_dataframe(frame, dataset.data_type_id, dataset_name, description)
dataset/ETHPy150Open Azure/Azure-MachineLearning-ClientLibrary-Python/tests/roundtriptests.py/RoundTripTests.test_azureml_example_datasets/operator `+` -> `-`