Datasets:
metadata
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- chess
- sft
- evaluation
- benchmark
- chess960
pretty_name: Chess SFT Eval and Benchmark
configs:
- config_name: eval_splits
data_files:
- split: test
path: eval_splits/*.jsonl
- config_name: benchmark
data_files:
- split: test
path: benchmark/*.jsonl
- config_name: eval_chess960
data_files:
- split: test
path: eval_splits/chess960.jsonl
- config_name: eval_endgames
data_files:
- split: test
path: eval_splits/endgames.jsonl
- config_name: eval_evaluation
data_files:
- split: test
path: eval_splits/evaluation.jsonl
- config_name: eval_mate
data_files:
- split: test
path: eval_splits/mate.jsonl
- config_name: eval_openings
data_files:
- split: test
path: eval_splits/openings.jsonl
- config_name: eval_perception
data_files:
- split: test
path: eval_splits/perception.jsonl
- config_name: eval_planning
data_files:
- split: test
path: eval_splits/planning.jsonl
- config_name: eval_rules
data_files:
- split: test
path: eval_splits/rules.jsonl
- config_name: eval_tactics
data_files:
- split: test
path: eval_splits/tactics.jsonl
- config_name: bench_chess960
data_files:
- split: test
path: benchmark/chess960.jsonl
- config_name: bench_endgames
data_files:
- split: test
path: benchmark/endgames.jsonl
- config_name: bench_evaluation
data_files:
- split: test
path: benchmark/evaluation.jsonl
- config_name: bench_mate
data_files:
- split: test
path: benchmark/mate.jsonl
- config_name: bench_openings
data_files:
- split: test
path: benchmark/openings.jsonl
- config_name: bench_perception
data_files:
- split: test
path: benchmark/perception.jsonl
- config_name: bench_planning
data_files:
- split: test
path: benchmark/planning.jsonl
- config_name: bench_rules
data_files:
- split: test
path: benchmark/rules.jsonl
- config_name: bench_tactics
data_files:
- split: test
path: benchmark/tactics.jsonl
Chess SFT Eval and Benchmark
Held-out evaluation splits and a frozen benchmark for Chess-Nut-Engine/chess-sft-corpus-4x. Every FEN in these files is excluded from generated training data (the blocklist is game-scoped: sibling positions of eval games are excluded too).
- Frozen from the 4x corpus generation run of 2026-07-06 (generator revision 3cd161b1078cdfa6598fba939f40250072adb524)
- Benchmark: 13,000 frozen examples across 9 splits; eval splits share the game-scoped blocklist (182,061 FENs) excluded from the training corpus
| Eval examples | 13,000 |
| Benchmark examples | 13,000 |
| Format | JSONL |
Loading
from datasets import load_dataset
eval_ds = load_dataset("Chess-Nut-Engine/chess-sft-corpus-4x-eval", "eval_splits")
bench_ds = load_dataset("Chess-Nut-Engine/chess-sft-corpus-4x-eval", "benchmark")
Eval Splits
| Split | Description | Examples | Size |
|---|---|---|---|
chess960 |
Fischer Random positions | 500 | 0.1 MB |
endgames |
Tablebase-backed endgame play | 1,500 | 0.2 MB |
evaluation |
Position assessment | 1,500 | 0.3 MB |
mate |
MATE move-choice examples | 1,000 | 0.1 MB |
openings |
Opening knowledge with ECO holdout | 500 | 0.2 MB |
perception |
Board reading and representation | 2,000 | 0.3 MB |
planning |
Best move, puzzle, and consequence tasks | 2,000 | 1.0 MB |
rules |
Move legality and chess rules | 2,000 | 0.3 MB |
tactics |
Tactical motifs and puzzle labels | 2,000 | 1.0 MB |
Frozen Benchmark
| Split | Description | Examples | Size |
|---|---|---|---|
chess960 |
Fischer Random positions | 500 | 0.2 MB |
endgames |
Tablebase-backed endgame play | 1,500 | 0.5 MB |
evaluation |
Position assessment | 1,500 | 0.7 MB |
mate |
MATE move-choice examples | 1,000 | 0.4 MB |
openings |
Opening knowledge with ECO holdout | 500 | 0.3 MB |
perception |
Board reading and representation | 2,000 | 1.5 MB |
planning |
Best move, puzzle, and consequence tasks | 2,000 | 1.4 MB |
rules |
Move legality and chess rules | 2,000 | 1.6 MB |
tactics |
Tactical motifs and puzzle labels | 2,000 | 1.4 MB |