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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.
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