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README.md

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+---
+license: mit
+tags:
+- chess
+- pgn
+- tokenizer
+pretty_name: PGN Dataset
+size_categories:
+  - 1M<n<10M
+source_datasets:
+- https://www.kaggle.com/datasets/milesh1/35-million-chess-games
+task_categories:
+  - token-classification
+task_ids:
+  - parsing
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: ./data/train/dataset_info.json
+      - split: test
+        path: ./data/test/dataset_info.json
+      - split: validation
+        path: ./data/validation/dataset_info.json
+dataset_info:
+  features:
+    - name: PGN
+      dtype: string
+---
+
+# PGN Dataset
+
+**Last Updated**: 2025-01-26
+
+## Description
+
+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.
+
+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.
+
+## Notes
+
+This was the training dataset for [`PGNTokenizer`](https://huggingface.co/InterwebAlchemy/PGNTokenizer). For more information about using `PGNTokenizer` visit the [GitHub repository](https://github.com/DVDAGames/pgn-tokenizer).
+
+You can read more about [research from the original dataset](https://chess-research-project.readthedocs.io/en/latest/).

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