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.fetch_california_housing(data_home=None, download_if_missing=True)

sklearn.datasets.make_sparse_coded_signal(n_samples, n_components, n_features, n_nonzero_coefs, 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.make_blobs(n_samples=100, n_features=2, centers=3, cluster_std=1.0, center_box=(-10.0, 10.0), shuffle=True, random_state=None)

sklearn.datasets.dump_svmlight_file(X, y, f, zero_based=True, comment=None, query_id=None, multilabel=False)