---
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.