sklearn.datasets.make_swiss_roll(n_samples=100, noise=0.0, random_state=None)

sklearn.datasets.get_data_home(data_home=None)

sklearn.datasets.load_digits(n_class=10, return_X_y=False)

sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50

sklearn.datasets.make_spd_matrix(n_dim, random_state=None)

sklearn.datasets.make_s_curve(n_samples=100, noise=0.0, random_state=None)

sklearn.datasets.make_friedman3(n_samples=100, noise=0.0, random_state=None)

sklearn.datasets.load_linnerud(return_X_y=False)

sklearn.datasets.load_svmlight_file(f, n_features=None, dtype=, multilabel=False, zero_based='auto', query_id=False)

sklearn.datasets.fetch_20newsgroups_vectorized(subset='train', remove=(), data_home=None)