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| license: mit | |
| tags: | |
| - puzzles | |
| - reasoning | |
| - pencil-puzzles | |
| viewer: false | |
| # ICS datasets | |
| The Light-Up, Nurikabe, Tapa and Heyawake datasets of ICS (code: https://github.com/icsearch/ICS). Each folder holds a | |
| `test` and a `train` split in the layout the code reads: | |
| | Folder | Puzzle | Test boards (random + golden) | Train boards | Train rows | | |
| |---|---|---|---|---| | |
| | `lightup-ms26` | Light-Up | 113 (100 + 13) | 1,431 | 11,448 | | |
| | `ppb-nurikabe-ms26` | Nurikabe | 115 (100 + 15) | 2,282 | 22,820 | | |
| | `ppb-tapa-ms26` | Tapa | 65 (50 + 15) | 580 | 5,800 | | |
| | `ppb-heyawake-ms26` | Heyawake | 115 (100 + 15) | 5,564 | 55,640 | | |
| ## Loading | |
| ```python | |
| from huggingface_hub import snapshot_download | |
| root = snapshot_download(repo_id="hcshi/ICS-data", repo_type="dataset", allow_patterns="ppb-tapa-ms26/*") | |
| ``` | |
| With the code installed, `python -m ics download --dataset --task tapa` writes the same folder to `data/tapa`. Pass | |
| a folder, e.g. `<root>/ppb-tapa-ms26`, as `--data` to `python -m ics train` or `python -m ics eval`. | |
| ## Source and license | |
| The puzzles come from Pencil Puzzle Bench (PPBench), the dataset `bluecoconut/pencil-puzzle-bench` at revision | |
| `3ac6add0754f1458bf51aab160ca039667a67b38`, under the MIT License: see `LICENSE-PPBench.txt`. | |