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, 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.
{
"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:
{
"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, the lesson that runs every command behind this repository.
- Measured in the single results table: 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.