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 accounts, no IPs, no user agents. games/YYYY-MM-DD/ -.jsonl, one file per ingest batch, one JSON object per line. Nothing is ever rewritten; new batches only add files. Each line is a canonical record rebuilt by the collector which replayed the game in…