| --- |
| dataset_info: |
| features: |
| - name: images |
| list: |
| image: |
| decode: false |
| - name: image_group_id |
| dtype: string |
| - name: qa |
| list: |
| - name: inputs |
| dtype: string |
| - name: labels |
| dtype: string |
| - name: metadata |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 6166925 |
| num_examples: 500 |
| - name: train |
| num_bytes: 307575696 |
| num_examples: 30000 |
| download_size: 314840221 |
| dataset_size: 313742621 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| - split: train |
| path: data/train-* |
| license: apache-2.0 |
| source_datasets: |
| - Valen-Team/Valen-Eval-Game |
| --- |
| |
| # valen-game |
|
|
| Valen Sokoban: native optimal-action sets as action-conditioned yes/no decisions. |
|
|
| All four native directions are supervised, including every equally optimal |
| action. Original English/Chinese rules, train/test layout partitions, image |
| bytes, native probabilities and solver provenance are retained. Hidden states |
| and solutions stay in metadata. Four QAs share one screenshot. Evaluation is |
| the source's selected single-step subset, not an unbiased full-game benchmark. |
| Original source declares Apache 2.0. No validation split is fabricated. |
|
|
| Original data: [Valen-Team/Valen-Eval-Game](https://huggingface.co/datasets/Valen-Team/Valen-Eval-Game). Repackaged as parquet for [tasksource](https://github.com/sileod/tasksource) by [scripts/repackage_dataset/games.py](https://github.com/sileod/tasksource/blob/main/scripts/repackage_dataset/games.py#L129). |
|
|
| [Conversion provenance](provenance.json): source revisions, hashes, configuration and exclusions. |
|
|
