The data currently used are placeholders, and they need to be fixed.

Need to implement parallel code.
Need to use ground truth labelling.
Supervised data does not have coverage vectors.
Gonna run experiments and collect results.

A few issues left unaddressed:
The generator should not use the discriminator's output as loss.
Parallel get coverage.
Supervised data does not have coverage. Need to collect.