Creates a baseline task for next-character prediction on Shakespeare.

The goal of the task is to take sequence_length characters (eg. alpha- numeric characters and puctuation characters) and predict the next character. Here, all sentences are drawn from the collected works of William Shakespeare, and a client corresponds to role in a play.

train_client_spec A tff.simulation.baselines.ClientSpec specifying how to preprocess train client data.
eval_client_spec An optional tff.simulation.baselines.ClientSpec specifying how to preprocess evaluation client data. If set to None, the evaluation datasets will use a batch size of 64 with no extra preprocessing.
sequence_length A positive integer dictating the length of each example in a client's dataset. By default, this is set to tff.simulation.baselines.shakespeare.DEFAULT_SEQUENCE_LENGTH.
cache_dir An optional directory to cache the downloadeded datasets. If None, they will be cached to ~/.tff/.
use_synthetic_data A boolean indicating whether to use synthetic Shakespeare data. This option should only be used for testing purposes, in order to avoid downloading the entire Shakespeare dataset.

A tff.simulation.baselines.BaselineTask.