davidquarel/connect4-pons-eval
Connect-4 Pons-labelled policy eval 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.
| Author / organization | davidquarel |
|---|---|
| License (as declared) | mit |
| Downloads | 299 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 June 2026 |
| Last updated at source | 5 June 2026 |
Popularity, last 8 days
299 now (+120 since 2026-10-31). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 7 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.