| --- |
| license: mit |
| task_categories: |
| - tabular-regression |
| pretty_name: Sudoku p-adic residual experiment data |
| tags: |
| - sudoku |
| - p-adic |
| - local-search |
| - reproducibility |
| --- |
| |
| # Sudoku p-adic residual experiment data |
|
|
| This dataset contains the small reproducibility bundle for the manuscript "Signed p-adic Residual Encodings of Finite-Domain All-Different Systems with a Sudoku Case Study". |
|
|
| Canonical dataset page: https://huggingface.co/datasets/gregb/sudoku-padic-regression-experiments |
|
|
| The bundle includes: |
|
|
| - `data/paper_stepwise/experiment_results.csv` |
| - `data/paper_zubarev/experiment_results.csv` |
| - summary files for both experiment runs |
| - trace puzzle and solution files for the plotted examples |
| - loss-curve source files |
| - the Python scripts used to generate the outputs |
|
|
| The experiment table is regenerated from the source repository with: |
|
|
| ```bash |
| python3 code/run_experiments.py --outdir outputs/paper_stepwise \ |
| --seed 123 --n 6 --clues 36,30,26 --max-steps 60000 \ |
| --restarts 15 --method stepwise |
| python3 code/run_experiments.py --outdir outputs/paper_zubarev \ |
| --seed 123 --n 6 --clues 36,30,26 --max-steps 60000 \ |
| --restarts 15 --method zubarev --beta0 0.5 --beta1 6.0 \ |
| --beta-schedule linear |
| ``` |
|
|
| The puzzles are randomly carved from solved grids and are not uniqueness-checked. The computational claims are illustrative rather than competitive Sudoku-solving claims. |
|
|
