File size: 3,085 Bytes
6ac050e a72668c 3875cb1 a72668c 56f9d69 3875cb1 56f9d69 a72668c 56f9d69 a72668c 56f9d69 b661446 7a57da1 90da217 7a57da1 54ad75a 7a57da1 54ad75a 7a57da1 6ac050e 54ad75a a72668c 56f9d69 a72668c 56f9d69 3875cb1 56f9d69 a72668c 07e6790 a72668c 7a57da1 a72668c 56f9d69 a72668c 56f9d69 a72668c 56f9d69 | 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("0.0.1"),
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 or self.config.data_files is None:
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)
|