def METHOD_NAME():
    featurizer = SNAPFeaturizer()
    dir = os.path.dirname(os.path.abspath(__file__))
    input_file = os.path.join(dir, 'assets/multitask_example.csv')
    loader = dc.data.CSVLoader(tasks=['task0', 'task1', 'task2'],
                               feature_field="smiles",
                               featurizer=featurizer)
    dataset = loader.create_dataset(input_file)
    metric = dc.metrics.Metric(dc.metrics.roc_auc_score,
                               np.mean,
                               mode="classification")
    return dataset, metric