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| license: cc0-1.0 | |
| pretty_name: Rukh puzzle splits | |
| language: | |
| - en | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| tags: | |
| - chess | |
| - rukh | |
| - puzzles | |
| # chorcat/rukh-puzzles-split | |
| Lichess puzzles with rating deviation <= 100 and at least 100 plays, banded by difficulty (1000-1500, 1500-2000, 2000+) and split into test and train by a seeded hash of the puzzle id, each with the moves of the game it came from, for tactical evaluation and fine-tuning. | |
| Part of [Rukh](https://github.com/borja-glez/rukh), a chess language model built from scratch | |
| as a course on generative and agentic AI. Every derived dataset ships with the exact filters and | |
| counts of its `manifest.json`, so it can be regenerated with `rukh data puzzles`. | |
| ## Files | |
| | File | Bytes | SHA-256 | | |
| |---|---:|---| | |
| | `puzzles.parquet` | 22333530 | `48d753215820498e41f4ef8e25ae5094582f284651bf1889da0882a89ebdba13` | | |
| Rows: **312000**. | |
| ## Columns | |
| | Column | Description | | |
| |---|---| | |
| | `puzzle_id` | Lichess puzzle id | | |
| | `fen` | position before the opponent's last move (Lichess convention) | | |
| | `moves` | UCI moves: the opponent's move first, then the solution | | |
| | `rating` | puzzle rating | | |
| | `themes` | Lichess theme tags | | |
| | `band` | `1000-1500`, `1500-2000` or `2000+` | | |
| | `split` | `test` or `train` | | |
| | `prefix_uci` | the real game's UCI moves up to `fen`, space-separated | | |
| | `prefix_plies` | number of moves in `prefix_uci` | | |
| | `white_elo` | rating of White in that game | | |
| | `black_elo` | rating of Black in that game | | |
| ## Provenance and filters | |
| Source: `Lichess/chess-puzzles-with-games` on the Hugging Face Hub. | |
| ```json | |
| { | |
| "max_rating_deviation": 100, | |
| "min_plays": 100, | |
| "bands": [ | |
| "1000-1500", | |
| "1500-2000", | |
| "2000+" | |
| ], | |
| "n_test": 2000, | |
| "n_train": 50000, | |
| "seed": 42, | |
| "split_by": "blake2b(seed:PuzzleId)", | |
| "with_games": true, | |
| "prefix": { | |
| "source": "movetext replayed to the puzzle FEN", | |
| "dropped": {}, | |
| "dropped_fraction": 0.0 | |
| } | |
| } | |
| ``` | |
| Counts: | |
| ```json | |
| { | |
| "1000-1500/test": 2000, | |
| "1000-1500/train": 50000, | |
| "1500-2000/test": 2000, | |
| "1500-2000/train": 50000, | |
| "2000+/test": 2000, | |
| "2000+/train": 50000, | |
| "selected": 156000, | |
| "dropped_no_prefix": 0 | |
| } | |
| ``` | |
| Generated on 2026-09-19 with `rukh` 0.0.1. | |
| ## In the course | |
| - Built in [M1 · Del PGN al tensor: los labs](https://lab.rukh.borjaglez.com/curso/m1/02-labs-del-pipeline/), the lesson that runs every command behind this repository. | |
| - Measured in the [single results table](https://lab.rukh.borjaglez.com/proyecto/): every stage of the course, the same suite, the same day. | |
| - Bring it to the paths the configs read: `uv run rukh pull rukh-puzzles-split`. | |
| ## License | |
| CC0 1.0. The games, puzzles and evaluations come from the Lichess open database (https://database.lichess.org, https://huggingface.co/Lichess), published under CC0; the derived files keep that license. Please credit Lichess when you use them. | |