readmeconfig
Browse files- ChessBot-Dataset.py +22 -22
ChessBot-Dataset.py
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@@ -24,7 +24,7 @@ class ChessPGNDataset(GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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ChessPGNConfig(
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name="default",
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version=Version("0.0.
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description="Chess positions + moves + results, streamed from PGN shards",
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data_files={
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"train": "train/*.pgn",
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@@ -43,32 +43,32 @@ class ChessPGNDataset(GeneratorBasedBuilder):
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})
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)
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def _split_generators(self, dl_manager: DownloadManager):
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def _generate_examples(self, shards):
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import chess.pgn
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BUILDER_CONFIGS = [
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ChessPGNConfig(
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name="default",
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version=Version("0.0.2"),
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description="Chess positions + moves + results, streamed from PGN shards",
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data_files={
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"train": "train/*.pgn",
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})
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)
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# def _split_generators(self, dl_manager: DownloadManager):
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# from pathlib import Path, os
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# if self.config.data_dir:
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# repo_root = Path(self.config.data_dir)
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# train_files = [repo_root / 'train' / f for f in os.listdir(repo_root / 'train')]
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# test_files = [repo_root / 'test' / f for f in os.listdir(repo_root / 'test')]
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# elif self.config.data_files:
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# train_files = self.config.data_files["train"]
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# test_files = self.config.data_files["test"]
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# train_paths = dl_manager.download(train_files)
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# test_paths = dl_manager.download(test_files)
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# return [
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# SplitGenerator(
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# name=Split.TRAIN,
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# gen_kwargs={"shards": train_paths},
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# ),
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# SplitGenerator(
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# name=Split.TEST,
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# gen_kwargs={"shards": test_paths},
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# ),
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# ]
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def _generate_examples(self, shards):
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import chess.pgn
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