Quickly returns a small synthetic dataset, useful for unit tests, etc.
tff.simulation.datasets.emnist.get_synthetic(num_clients=2)
Defined in
python/simulation/datasets/emnist/load_data.py.
Each client produced has exactly 10 examples, one of each digit. The images are
derived from a fixed set of hard-coded images, and transformed using
tff.simulation.datasets.emnist.infinite_emnist to produce the desired number
of clients.
Args:
num_clients: The number of syntehtic clients to generate.
Returns:
Tuple of (train, test) where the tuple elements are
tff.simulation.ClientData
objects matching the characteristics (other than size) of those provided by
tff.simulation.datasets.emnist.load_data.