It is very amazing that someone starts to build a benchmark/framework for ML/AI for SAT, which would be very helpful for the new people who is just entering this area like me.
Here are some doc/tools I think maybe useful, the author can have a look in free time:
awesome-ml4co The Boolean Satisfiability collect some recent papers in ML4SAT.
LovaszSAT A tool by me which implements the Algorithmic LLL Solver, the generator.py can be use to generate large satisfiable SAT instance quickly, which maybe useful in building dataset.
Thanks for your attention! This codebase is not ready to use yet, and I will let you know once we complete it. I will take a look at your repo and have further discussion with you later :)
It is very amazing that someone starts to build a benchmark/framework for ML/AI for SAT, which would be very helpful for the new people who is just entering this area like me. Here are some doc/tools I think maybe useful, the author can have a look in free time: