A large-scale open chess dataset designed for machine learning, chess engine research, NNUE experimentation, and evaluation training.
OCP combines:
engine self-play with UHO
Chess960 games
elite human openings
curated aggressive and asymmetric opening systems
The goal of the project is to create high-density chess training data with broader structural diversity than traditional engine-only datasets.
Traditional chess datasets… See the full description on the dataset page:
https://huggingface.co/datasets/rkaluzny/OCP.
