| ---
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| license: other
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| task_categories:
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| - text-generation
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| tags:
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| - sudoku
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| - reasoning
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| - planning
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| - discrete-diffusion
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| - out-of-distribution
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| pretty_name: Sudoku DLM Reasoning
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| configs:
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| - config_name: default
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| data_files:
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| - split: train
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| path: data/train.parquet
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| - split: validation
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| path: data/validation.parquet
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| - split: test
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| path: data/test.parquet
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| - split: test_ood_confirm
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| path: data/test_ood_confirm.parquet
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| ---
|
|
|
| # Sudoku DLM Reasoning
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|
|
| `stwistzz/Sudoku_DLM_Reasoning` is a deterministic 9x9 Sudoku benchmark for studying masked
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| diffusion language models, depth, and iterative decoding. Version 1.1.0
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| trains only on `original`, `r0`, and `r1_4`; `r5_19` is held out for adjacent
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| difficulty extrapolation.
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|
|
| Version 1.1.0 changes only the deterministic selection seed to `0`
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| relative to v1.0.2. The raw CSV files, sources, bucket definitions, split quotas,
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| schema, and validation rules are unchanged; the four Parquet splits are
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| regenerated deterministically from the same candidate pool.
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|
|
| ## Repository layout
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|
|
| - `raw/`: complete 1,415,420-row candidate snapshot used by this protocol
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| - `data/`: selected, leakage-audited Parquet splits used for experiments
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| - `metadata/`: source/release hashes, split specification, and audits
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| - `scripts/`: deterministic builder and independent verifier
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| - `docs/BUILDING.md`: end-to-end reconstruction instructions
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| - `docs/DIFFICULTY.md`: operational difficulty definition and quantitative audit
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|
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| Files under `raw/` are explicitly source data and are not loaded as extra splits.
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| Only the four `data/*.parquet` paths declared in the card metadata form the
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| `default` dataset config.
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|
|
| ## Splits
|
|
|
| | split | original | r0 | r1_4 | r5_19 | total |
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| |---|---:|---:|---:|---:|---:|
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| | train | 65,536 | 65,536 | 65,536 | 0 | 196,608 |
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| | validation | 2,048 | 2,048 | 2,048 | 0 | 6,144 |
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| | test | 1,000 | 1,000 | 1,000 | 1,000 | 4,000 |
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| | test_ood_confirm | 0 | 0 | 0 | 4,000 | 4,000 |
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|
|
| The primary zero-shot protocol selects the checkpoint, decoding strategy, and
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| number of decoding steps using only `validation`. It must not use `r5_19` before
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| the final `test` evaluation. `test_ood_confirm` is reserved for confirming a
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| small number of already-selected configurations; it is not a tuning split.
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|
|
| ## Difficulty
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|
|
| `r0`, `r1_4`, and `r5_19` use an upstream Tdoku search measurement. In public
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| Tdoku commit `af426180dc53aef89b82868e7b3fdfcf42165654`, the counter increments when the
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| solver expands a binary band/stack-configuration decision after constraint propagation.
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| It is therefore best interpreted as visited search decision nodes, not recursion
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| depth, failed undo count, clue count, or human difficulty. `original` comes from
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| a separate easy collection and has no official rating on this scale.
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|
|
| See `docs/DIFFICULTY.md` for the DFS root, propagation and branch semantics,
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| bucket formulas, full raw-pool statistics, source confounding, and the upstream
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| rating-provenance limitation.
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|
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| The evaluation sample deliberately covers subranges:
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|
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| - `r1_4`: `[1,2)`, `[2,3)`, `[3,4)`, `[4,5)`
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| - `r5_19`: `[5,8)`, `[8,12)`, `[12,16)`, `[16,20)`
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|
|
| The 1,000-row test allocation uses 250 rows from each subrange. The 4,000-row
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| confirmation allocation uses 1,000 rows from each `r5_19` subrange. Within a
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| subrange, source collection and clue count retain their upstream proportions.
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|
|
| ## Deterministic construction
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|
|
| - Upstream repository: [`fhyfhy/diffusion-vs-ar-hard-sudoku`](https://huggingface.co/datasets/fhyfhy/diffusion-vs-ar-hard-sudoku)
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| - Pinned upstream revision: `527859f62c745c16833aded130ad9f9ddddb76af`
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| - Release seed: `0`
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| - Sampling: proportional metadata-stratified bottom-k by SHA-256 rank
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| - Leakage checks: exact puzzle plus digit-renaming-normalized puzzle/solution pair
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| - Validation: 81-character format, clue consistency, and Sudoku row/column/box validity
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|
|
| The source train/test boundary is preserved. Validation rows come only from
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| unused upstream training rows. Test and confirmation rows come only from upstream
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| test files. Full file hashes, row provenance, exclusions, and pairwise overlap
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| checks are in `metadata/manifest.json` and `metadata/audit.json`.
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|
|
| The upstream Sudoku Extreme corpus states that its official train and test sets
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| are mathematically inequivalent. This release additionally audits exact and digit
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| renaming overlap across the mixed original/Extreme sources. It does not implement
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| full canonicalization over every Sudoku row, column, band, stack, and transpose
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| symmetry; that remains a documented limitation.
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|
|
| ## Schema
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|
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| The main columns are `puzzle`, `solution`, `difficulty_bucket`,
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| `difficulty_subbucket`, `official_rating`, `clues`, `source_collection`, and
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| `release_split`. `example_id`, `puzzle_id`, and `digit_normalized_id` are stable
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| SHA-256 identifiers. `source_file` and `source_row_index` provide exact provenance.
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|
|
| ```python
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| from datasets import load_dataset
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|
|
| dataset = load_dataset("stwistzz/Sudoku_DLM_Reasoning")
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| train = dataset["train"]
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| validation = dataset["validation"]
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| test = dataset["test"]
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| ```
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|
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| Puzzles and solutions are 81-character row-major strings. `0` denotes an empty
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| cell in `puzzle`.
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|
|
| ## Rebuild
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|
|
| The pinned source CSV files are included under `raw/`. Run:
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|
|
| ```bash
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| python scripts/build_dataset.py \
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| --source-dir raw \
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| --output-dir /path/to/release \
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| --dataset-id stwistzz/Sudoku_DLM_Reasoning \
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| --seed 0
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| ```
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|
|
| The builder requires Python 3.10+ and PyArrow. See `docs/BUILDING.md`, then run
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| `scripts/verify_dataset.py` against the rebuilt release.
|
|
|
| ## Attribution and license
|
|
|
| The data is derived from
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| [`fhyfhy/diffusion-vs-ar-hard-sudoku`](https://huggingface.co/datasets/fhyfhy/diffusion-vs-ar-hard-sudoku),
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| which packages the original Sudoku data from
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| [`HKUNLP/diffusion-vs-ar`](https://github.com/HKUNLP/diffusion-vs-ar) and the
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| [`sapientinc/sudoku-extreme`](https://huggingface.co/datasets/sapientinc/sudoku-extreme)
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| corpus. Please consult and comply with the licenses and attribution requirements
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| of all upstream sources. This derived release does not grant rights beyond them.
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| See `RAW_DATA_LICENSES.md` for the raw-snapshot notice.
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|
|
