from datasets import ( GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, DownloadManager, Features, Value, Array2D, ) from adversarial_gym.chess_env import ChessEnv class ChessPGNDataset(GeneratorBasedBuilder): VERSION = "0.0.1" def _info(self): return DatasetInfo( description="Chess positions + moves + results, streamed from PGN shards", features=Features({ "state": Array2D((8,8), dtype="int8"), "action": Value("int16"), "result": Value("int8"), }) ) def _split_generators(self, dl_manager: DownloadManager): from pathlib import Path, os if not self.config.data_dir: repo_root = Path(__file__).parent else: repo_root = Path(self.config.data_dir) # Get files in the train and test directories train_shards = [repo_root / 'train' / f for f in os.listdir(repo_root / 'train')] test_shards = [repo_root / 'test' / f for f in os.listdir(repo_root / 'test')] train_shards = sorted((repo_root / 'train').glob("*.pgn")) test_shards = sorted((repo_root / 'test').glob("*.pgn")) train_paths = dl_manager.download([str(p) for p in train_shards]) test_paths = dl_manager.download([str(p) for p in test_shards]) return [ SplitGenerator( name=Split.TRAIN, gen_kwargs={"shards": train_paths}, ), SplitGenerator( name=Split.TEST, gen_kwargs={"shards": test_paths}, ), ] def _generate_examples(self, shards): import chess.pgn uid = 0 for path in shards: with open(path, "r") as f: while (game := chess.pgn.read_game(f)) is not None: board = game.board() base = {"1-0":1,"0-1":-1}.get(game.headers["Result"], 0) for move in game.mainline_moves(): state = ChessEnv.get_piece_configuration(board) state = state if board.turn else -state action = ChessEnv.move_to_action(move) result = base * (-1 if board.turn == 0 else 1) yield uid, { "state": state.astype("int8"), "action": int(action), "result": int(result), } uid += 1 board.push(move)