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39b6876 62e368e 33d949e 62e368e 0c1723c 33d949e e5681df 33d949e 0c1723c 62e368e 0c1723c 62e368e 0c1723c e5681df 9d1c4bb e5681df 9d1c4bb e5681df 9d1c4bb 39b6876 e5681df 62e368e e5681df 33d949e 0c1723c 62e368e b6473ab 62e368e 9d1c4bb 62e368e 0c1723c 62e368e 0c1723c 62e368e 0c1723c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | import logging
from datasets import (
GeneratorBasedBuilder,
DatasetInfo,
SplitGenerator,
Split,
DownloadManager,
Features,
Value,
Array2D,
Version,
BuilderConfig
)
from adversarial_gym.chess_env import ChessEnv
class ChessPGNConfig(BuilderConfig):
def __init__(self, *, data_files, **kwargs):
super().__init__(**kwargs)
self.data_files = data_files
class ChessPGNDataset(GeneratorBasedBuilder):
BUILDER_CONFIGS = [
ChessPGNConfig(
name="default",
version=Version("0.0.2"),
description="Chess positions + moves + results, streamed from PGN shards",
data_files={
"train": "train/*.pgn",
"test": "test/*.pgn",
},
),
]
DEFAULT_CONFIG_NAME = "default"
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 self.config.data_dir:
# repo_root = Path(self.config.data_dir)
# train_files = [repo_root / 'train' / f for f in os.listdir(repo_root / 'train')]
# test_files = [repo_root / 'test' / f for f in os.listdir(repo_root / 'test')]
# elif self.config.data_files:
# train_files = self.config.data_files["train"]
# test_files = self.config.data_files["test"]
# train_paths = dl_manager.download(train_files)
# test_paths = dl_manager.download(test_files)
# 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)
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