| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train/*.pgn | |
| - split: test | |
| path: test/*.pgn | |
| license: mit | |
| tags: | |
| - code | |
| size_categories: | |
| - 100M<n<1B | |
| pretty_name: ChessBot-Dataset | |
| dataset_info: | |
| features: | |
| - name: state | |
| dtype: | |
| array2_d: | |
| shape: | |
| - 8 | |
| - 8 | |
| dtype: int8 | |
| - name: action | |
| dtype: int16 | |
| - name: result | |
| dtype: int8 | |
| splits: | |
| - name: train | |
| num_bytes: 65545518162 | |
| num_examples: 636364254 | |
| - name: test | |
| num_bytes: 7298385021 | |
| num_examples: 70858107 | |
| download_size: 7621976329 | |
| dataset_size: 72843903183 | |
| This repository contains a gigantic curated chess dataset meant for machine learning. Currently the dataset contains approximately **700 million positions** in **PGN format**, split across 1000 files. Huge credits to the following main sources: | |
| - Lumbra's Database (filtered 2600+) | |
| - Lichess Puzzle Database | |
| - Computer Chess: TCEC Database, CCRL | |
| Some stats (subject to change): | |
| - Games per file: 9808/9809 | |
| - Positions per file: ~700,000 | |
| - Total train positions: 636364254 | |
| - Total test positions: 70858107 | |
| The supporting dataset code and training platform, known as ChessBot-Battleground, is found at: https://github.com/KeithG33/ChessBot-Battleground/ | |
| *Note*: The dataset requires `trust_remote_code=True` to parse the pgn data. See the code in `ChessBot-Dataset.py` if you'd like to verify first |