A frozen evaluation set of 6705 decisive Connect-4 positions, each labelled by Pascal Pons' perfect solver with the game-theoretic per-column scores. Used by the ARENA [2.5] MCTS & AlphaZero material to measure how close a trained policy/value net is to perfect play (net-independent ground truth), via pons/acc, pons/ce, pons/val_signacc.

File

pons_eval_dataset.json — JSON, {"meta": {...}, "positions": [...]}.… See the full description on the dataset page: https://huggingface.co/datasets/davidquarel/connect4-pons-eval.