def tearDown(): dataset_store.delete('yeast')
def tearDown(): dataset_store.delete('abalone')
def tearDown(): dataset_store.delete('mturk')
def tearDown(): dataset_store.delete('adult')
def tearDown(): dataset_store.delete("cadata")
def tearDown(): dataset_store.delete('letor_mq2007')
def tearDown(): dataset_store.delete('web')
def tearDown(): dataset_store.delete('corrupted_mnist')
def tearDown(): dataset_store.delete('corel5k')
def tearDown(): dataset_store.delete('newsgroups')
def tearDown(): dataset_store.delete('housing')
def tearDown(): dataset_store.delete('bibtex')
def tearDown(): dataset_store.delete('occluded_faces_lfw')
def tearDown(): dataset_store.delete('scene')
def tearDown(): dataset_store.delete('medical')
def tearDown(): dataset_store.delete('nips')
def tearDown(): dataset_store.delete('binarized_mnist')
def tearDown(): dataset_store.delete('mnist')
def tearDown(): dataset_store.delete('mnist_rotated')
def tearDown(): dataset_store.delete('heart')
def tearDown(): dataset_store.delete('ocr_letters')
def tearDown(): dataset_store.delete('mnist_rotated_background_images')
def tearDown(): dataset_store.delete('corrupted_ocr_letters')
def tearDown(): dataset_store.delete("rcv1")
def tearDown(): dataset_store.delete('mnist_background_random')
def tearDown(): dataset_store.delete('sarcos')
def tearDown(): dataset_store.delete('convex')
def tearDown(): dataset_store.delete('mnist_basic')
def tearDown(): dataset_store.delete('rectangles')
def tearDown(): dataset_store.delete('connect4')
def tearDown(): dataset_store.delete('face_completion_lfw')
def tearDown(): dataset_store.delete('mediamill')
def tearDown(): dataset_store.delete('occluded_mnist')
def tearDown(): dataset_store.delete('mushrooms')
def tearDown(): dataset_store.delete('letor_mq2008')
def tearDown(): dataset_store.delete('majmin')