}
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"]