Datasets:
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license: other
license_name: flux-2-dev-non-commercial-for-images
task_categories:
- text-to-video
configs:
- config_name: worldstate_bench
data_files: data/cases.parquet
tags:
- world-models
- benchmark
- interactive-video
- game-generation
size_categories:
- small
---
# StateWorldModel — assets & benchmark dataset
Companion data for the code release of **"State World Models: Execute the
Rules, Generate the Pixels"** (StatefulHarness + WorldState-Bench).
> **Paper**: [State World Models: Execute the Rules, Generate the Pixels](https://arxiv.org/abs/2610.26811) (arXiv:2610.26811)
One repo,
two independent subtrees — download only what you need:
| Subtree | Size | What it is |
|---|---|---|
| `assets/` | ~94 MB | First-frame images for the 20 games of StatefulHarness (`agentic_game/`): `assets/adv/<character>/` (story games), `assets/duel/` (combat), `assets/openworld/` (6 scenes) — consumed by the game code, fetched via `download_assets.py` |
| `data/cases/` | ~63 MB | **WorldState-Bench**: 50 counterfactual hidden-state twin pairs (B01–B50, 100 clips) — shared FLUX.2 first frame + executable rule program + pre-written judge questions per twin |
| `data/cases.parquet` | 4 MB | Flattened metadata table (one row per twin, 100 rows) with an embedded 640px first-frame preview per row (`preview`); the full-resolution frame is at `image_path` — the dataset-viewer table |
Both subtrees mirror the layout of the code repository, so the in-repo
downloaders place files where the code expects them:
```bash
# inside a checkout of the code repository
cd agentic_game && python download_assets.py # → agentic_game/assets/
cd worldstate_bench && python download_data.py # → worldstate_bench/data/cases/
```
Mirrored on ModelScope: [Louis0411/StateWorldModel](https://modelscope.cn/datasets/Louis0411/StateWorldModel)
(same layout; download with the `modelscope` SDK if that is more convenient).
## Dataset structure (WorldState-Bench)
Each `data/cases/B*/` folder is one counterfactual pair:
- `input.png` — the shared first frame (FLUX.2, 1280×720, audited so that no
visual cue reveals the hidden value; EXIF carries seed/steps/gate)
- `case_A.json` / `case_B.json` — the two twin records: instruction, hidden
state, executable rule (DSL), gold endings, and the pre-written
fixed-choice judge questions. Expected outcomes are derived mechanically
from the rule program (no human-written gold).
- `card_A.txt` / `card_B.txt` — human/model-readable cards
Field-by-field schema, the generation pipeline, and the evaluation protocol:
see `README.md` / `USAGE.md` in the `worldstate_bench/` folder of the code
repository.
## License / terms
- Code (the companion repository): Apache-2.0.
- The first frames in `data/cases/` (and the adv/openworld images in
`assets/`) are generated with FLUX.2-dev; the FLUX.2 [dev] Non-Commercial
License governs these derived images.
- Baseline wrapper code in the repository that adapts HunyuanVideo-1.5
retains the Tencent Hunyuan community license header.
## Citation
```bibtex
@article{stateworldmodels2026,
title = {State World Models: Execute the Rules, Generate the Pixels},
author = {Chan, Yan Ki and Zhang, Yanran and Zheng, Wenzhao and Wang, Xiaofeng and Zhu, Zheng and Chen, Lei and Zhou, Jie and Lu, Jiwen},
journal = {arXiv preprint arXiv:2610.26811},
year = {2026},
url = {https://arxiv.org/abs/2610.26811}
}
```
Preprint entry; TODO: replace with the camera-ready entry on acceptance.
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