} class FashionMNISTTest(MNISTTest): DATASET_CLASS = mnist.FashionMNIST class KMNISTTest(MNISTTest): DATASET_CLASS = mnist.KMNIST mnist.EMNIST.BUILDER_CONFIGS.extend([ mnist.EMNISTConfig( name="test", class_number=200, train_examples=10, test_examples=2, description="EMNIST test data config.", ), ]) class EMNISTTest(testing.DatasetBuilderTestCase): DATASET_CLASS = mnist.EMNIST SPLITS = { "train": 10, "test": 2, } BUILDER_CONFIG_NAMES_TO_TEST = ["test"]
class KMNISTTest(MNISTTest): DATASET_CLASS = mnist.KMNIST class KMNISTTestS3(KMNISTTest): VERSION = "2.0.0" mnist.EMNIST.BUILDER_CONFIGS.extend([ mnist.EMNISTConfig( name="test", class_number=200, train_examples=10, test_examples=2, description="EMNIST test data config.", version="1.0.1", supported_versions=[ tfds.core.Version("2.0.0", experiments={tfds.core.Experiment.S3: True}), ], ), ]) class EMNISTTest(testing.DatasetBuilderTestCase): DATASET_CLASS = mnist.EMNIST SPLITS = { "train": 10, "test": 2, } BUILDER_CONFIG_NAMES_TO_TEST = ["test"]