| from datasets import ( |
| GeneratorBasedBuilder, DatasetInfo, SplitGenerator, Split, |
| 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): |
| import os |
| |
| data_dir = self.config.data_dir |
| return [ |
| SplitGenerator( |
| name=Split.TRAIN, |
| gen_kwargs={"shards": [pgn.path for pgn in os.scandir(os.path.join(data_dir,"train")) if pgn.name.endswith(".pgn")]}, |
| |
| ), |
| SplitGenerator( |
| name=Split.TEST, |
| gen_kwargs={"shards": [pgn.path for pgn in os.scandir(os.path.join(data_dir,"test")) if pgn.name.endswith(".pgn")]}, |
| |
| ), |
| ] |
|
|
| def _generate_examples(self, shards): |
| import chess.pgn |
| uid = 0 |
|
|
| for path in sorted(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) |
|
|
