Create a directory called data at the root directory. Download the KLJ Dataset and extract them to the data directory. You should see KJL_features and KJL_reference in data.
Run python train.py at the root directory. Checkpoint and visualizations using validation data are written to checkpoint and validation directories. You can modify the hyperparameters in config.py.