benchmark_format_version stringclasses 1
value | dataset_id stringclasses 1
value | split stringclasses 1
value | sample_id stringlengths 9 9 | seed int64 0 499 | clues int64 30 30 | size int64 9 9 | box_rows int64 3 3 | box_cols int64 3 3 | puzzle listlengths 9 9 | solution listlengths 9 9 | canonical_steps listlengths 51 51 | difficulty_signature unknown |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
sudoku-verify-benchmark-v1 | v1 | test | test_0000 | 0 | 30 | 9 | 3 | 3 | [
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"candidates... | {
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"naked_single": 40
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0001 | 1 | 30 | 9 | 3 | 3 | [
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{
"technique": "naked_single",
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"value": 1,
"candidates... | {
"naked_single": 51
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0002 | 2 | 30 | 9 | 3 | 3 | [
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"unit_index": null,
"note": "Only one candidate remains in the cell."
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{
"technique": "naked_single",
"row": 2,
"col": 1,
"value": 5,
"candidates... | {
"hidden_single": 2,
"naked_single": 49
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0003 | 3 | 30 | 9 | 3 | 3 | [
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"note": "Only one candidate remains in the cell."
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"value": 8,
"candidates... | {
"naked_single": 51
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0004 | 4 | 30 | 9 | 3 | 3 | [
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... | [
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"note": "Only one candidate remains in the cell."
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{
"technique": "naked_single",
"row": 0,
"col": 0,
"value": 2,
"candidates... | {
"naked_single": 51
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sudoku-verify-benchmark-v1 | v1 | test | test_0005 | 5 | 30 | 9 | 3 | 3 | [
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"note": "Only one candidate remains in the cell."
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{
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"row": 0,
"col": 0,
"value": 3,
"candidates... | {
"naked_single": 51
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0006 | 6 | 30 | 9 | 3 | 3 | [
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"note": "Only one candidate remains in the cell."
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{
"technique": "naked_single",
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"value": 1,
"candidates... | {
"naked_single": 51
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0007 | 7 | 30 | 9 | 3 | 3 | [
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"note": "Only one candidate remains in the cell."
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{
"technique": "naked_single",
"row": 0,
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"value": 2,
"candidates... | {
"hidden_single": 3,
"naked_single": 48
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0008 | 8 | 30 | 9 | 3 | 3 | [
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[
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[
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[
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4,
... | [
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"value": 9,
"candidates": [
9
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"unit_index": null,
"note": "Only one candidate remains in the cell."
},
{
"technique": "naked_single",
"row": 5,
"col": 1,
"value": 1,
"candidates... | {
"hidden_single": 12,
"naked_single": 39
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0009 | 9 | 30 | 9 | 3 | 3 | [
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"note": "Only one candidate remains in the cell."
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{
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"row": 3,
"col": 6,
"value": 1,
"candidates... | {
"hidden_single": 10,
"naked_single": 41
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0010 | 10 | 30 | 9 | 3 | 3 | [
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[
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[
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"row": 0,
"col": 6,
"value": 4,
"candidates": [
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4,
8
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"unit_type": "row",
"unit_index": 0,
"note": "The digit appears in only one cell within the row."
},
{
"technique": "hidden_single",
"row": 1,
"col": 4,
... | {
"hidden_single": 10,
"naked_single": 41
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0011 | 11 | 30 | 9 | 3 | 3 | [
[
3,
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1,
0,
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],
[
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[
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[
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1,
8,
5,
... | [
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"value": 3,
"candidates": [
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"unit_type": null,
"unit_index": null,
"note": "Only one candidate remains in the cell."
},
{
"technique": "naked_single",
"row": 6,
"col": 2,
"value": 7,
"candidates... | {
"hidden_single": 9,
"naked_single": 42
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0012 | 12 | 30 | 9 | 3 | 3 | [
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[
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[
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[
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"note": "Only one candidate remains in the cell."
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{
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"row": 0,
"col": 8,
"value": 1,
"candidates... | {
"hidden_single": 9,
"naked_single": 42
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0013 | 13 | 30 | 9 | 3 | 3 | [
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[
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[
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"note": "Only one candidate remains in the cell."
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{
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"value": 6,
"candidates... | {
"hidden_single": 2,
"naked_single": 49
} |
sudoku-verify-benchmark-v1 | v1 | test | test_0014 | 14 | 30 | 9 | 3 | 3 | [
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[
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[
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... | [
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SudokuJustify
SudokuJustify is a benchmark for evaluating whether a model can produce stepwise, machine-checkable justifications for simple Sudoku reasoning. Each instance contains a 9x9 puzzle, its full solution, and a canonical symbolic trace using a restricted rule set:
naked_singlehidden_single
The benchmark is designed for evaluation and analysis rather than training. The restricted rule set keeps every claimed step easy to verify automatically.
Dataset Layout
The repository contains four released splits:
v1/test.jsonl: main frozen evaluation split.v2/test.jsonl: second frozen evaluation split.v3/test.jsonl: third frozen evaluation split.v1_balanced_attribution/test.jsonl: balanced HS/NS probe sampled fromv1for attribution and control experiments.
Files under v1/, v2/, and v3/ also include metadata.json, which records the generation parameters for each split.
Main Record Schema
Each JSONL record in v1, v2, and v3 contains:
benchmark_format_version: dataset schema version string.dataset_id: split identifier.split: split name.sample_id: per-instance identifier.seed: puzzle generation seed.clues: number of givens in the initial board.size: Sudoku side length. This release uses9.box_rows,box_cols: subgrid shape metadata. This release uses3and3.puzzle: 9x9 integer grid with0for empty cells.solution: solved 9x9 integer grid.canonical_steps: canonical symbolic trace. Each step includes:techniquerowcolvaluecandidatesunit_typeunit_indexnote
difficulty_signature: counts of supported techniques in the canonical trace.
Balanced Attribution Split Schema
Each record in v1_balanced_attribution/test.jsonl corresponds to one intermediate board state drawn from v1. Key fields include:
state_id: unique state identifier.source_sample_id: source puzzle fromv1.step_idx: canonical step index.board: partially filled 9x9 board.proposal: target fill proposal with row, column, value, and candidate set.gold_technique: gold label (naked_singleorhidden_single).gold_unit_type,gold_unit_index: supporting unit for hidden-single cases.valid_hidden_units: valid supporting units for the hidden-single justification.fill_ratio: proportion of filled cells in the board state.
Intended Use
This dataset is intended for:
- evaluating stepwise reasoning outputs on Sudoku;
- testing whether generated justifications match board state constraints;
- probing whether model behavior changes under relabeling or balanced HS/NS controls.
It is not intended as a broad measure of general reasoning.
Limitations
- The benchmark only covers 9x9 Sudoku.
- The symbolic rule set is intentionally narrow and only includes
naked_singleandhidden_single. - The balanced attribution split is a probe set, not a main benchmark split.
- Because the dataset is generated through a constrained symbolic pipeline, it reflects the distribution induced by that pipeline rather than the full space of human Sudoku play.
Synthetic Data
This dataset is synthetic. Puzzles and canonical traces are generated and filtered programmatically.
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