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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 glob
# data_dir is the root of your dataset repo
data_dir = self.config.data_dir
return [
SplitGenerator(
name=Split.TRAIN,
gen_kwargs={"shards": glob.glob(os.path.join(data_dir,"train","*.pgn"))}
),
SplitGenerator(
name=Split.TEST,
gen_kwargs={"shards": glob.glob(os.path.join(data_dir,"test","*.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)
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