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README.md
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- config_name: default
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data_files:
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- split: train
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path:
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- split: test
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path:
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- split: validation
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path:
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dataset_info:
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features:
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- name: PGN
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This is a dataset of chess games in Portable Game Notation (PGN) format. The dataset was created by cleaning and formatting the [milesh1/35-million-chess-games](https://www.kaggle.com/milesh1/35-million-chess-games) dataset from Kaggle.
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This version of the pgn-dataset does not include the `[g_start]` and `[g_end]` special tokens that [PGNTokenizer]((https://huggingface.co/InterwebAlchemy/PGNTokenizer) uses to denote the start and end of a game. The [pgn-dataset-special-tokens](https://huggingface.co/datasets/InterwebAlchemy/pgn-dataset) dataset includes these tokens.
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## Notes
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- config_name: default
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data_files:
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- split: train
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path: data/train
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- split: test
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path: data/test
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- split: validation
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path: data/validation
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dataset_info:
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features:
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- name: PGN
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This is a dataset of chess games in Portable Game Notation (PGN) format. The dataset was created by cleaning and formatting the [milesh1/35-million-chess-games](https://www.kaggle.com/milesh1/35-million-chess-games) dataset from Kaggle.
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This version of the pgn-dataset does not include the `[g_start]` and `[g_end]` special tokens that [PGNTokenizer]((https://huggingface.co/InterwebAlchemy/PGNTokenizer) uses to denote the start and end of a game. The [pgn-dataset-including-special-tokens](https://huggingface.co/datasets/InterwebAlchemy/pgn-dataset-including-special-tokens) dataset includes these tokens.
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## Notes
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