RemiFabre/faience-games

Faïence: human-vs-net Azul games Every game played on Faïence, a free browser implementation of the rules of Azul (Michael Kiesling) against a neural net trained by self-play, unless the player switched sharing off. This dataset is the training pile the playing page tells its players about, and it is public precisely so that a player can read everything the project collects. Records are anonymous by construction: moves, deals, which net played, and the score. No names, no… See the full description on the dataset page: https://huggingface.co/datasets/RemiFabre/faience-games.