| --- |
| license: mit |
| language: |
| - en |
| size_categories: |
| - n<1K |
| tags: |
| - benchmark |
| - world-model |
| - video-generation |
| - programmable-world-models |
| arxiv: "2610.02205" |
| pretty_name: PROWBench — Episodes |
| configs: |
| - config_name: default |
| default: true |
| data_files: |
| - split: full |
| path: splits/full.parquet |
| - split: verified_first_frame |
| path: splits/verified_first_frame.parquet |
| - split: unverified_first_frame |
| path: splits/unverified_first_frame.parquet |
| - split: long_video |
| path: splits/long_video.parquet |
| - split: multi_view |
| path: splits/multi_view.parquet |
| - split: gunfight |
| path: splits/gunfight.parquet |
| --- |
| |
| # PROWBench Dataset |
|
|
| PROWBench evaluates whether video models follow program-specified motion and interactions. It contains **170 episodes, 200 camera views, and 600 proxy videos**, with prompts, recorded world states, and RGB first frames where available. |
|
|
| [Paper](https://arxiv.org/abs/2610.02205) · [Project](https://alaya-lab.github.io/PROWBench/) · [Gallery](https://alaya-lab.github.io/PROWBench/gallery.html) · [Code](https://github.com/AlayaLab/PROWBench) · [Evaluation guide](https://github.com/AlayaLab/PROWBench/blob/main/eval/USAGE.md) |
|
|
| ## Download |
|
|
| ```bash |
| pip install -U huggingface_hub |
| hf download AlayaLab/PROWBench --repo-type dataset --local-dir PROWBench |
| ``` |
|
|
| Load sample metadata and preview images in Python (`pip install -U datasets pillow`): |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("AlayaLab/PROWBench") |
| sample = dataset["full"][0] |
| ``` |
|
|
| The `*_file` fields contain paths relative to the dataset root. Use the download command above for the full videos, prompts and engine records. |
|
|
| ## Data |
|
|
| | Split | Episodes | Duration | RGB first frames | |
| |---|---:|---:|---:| |
| | `verified_first_frame` | 40 | 5 s | 40 | |
| | `unverified_first_frame` | 90 | 5 s | 0 | |
| | `long_video` | 10 | 30 s | 0 | |
| | `multi_view` | 10 | 5 s | 0 | |
| | `gunfight` | 20 | 5 s | 20 | |
|
|
| Each view has three proxy representations: `white` (coarse 3D), `mixed` (semantic proxy), and `colored-obb` (3D boxes). Multi-view episodes have four synchronized cameras. |
|
|
| The `full` Viewer split contains **600 rows**, one per camera–representation pair; the other splits are subsets. Full prompts are available through `prompt_file`. `preview_kind` distinguishes RGB first-frame references from proxy previews. |
|
|
| A typical episode: |
|
|
| ```text |
| episodes/<group>/<episode>/ |
| ├── manifest.json |
| ├── scene/ # Recorded world states |
| ├── cameras/ # Camera records |
| └── views/<camera>/ |
| ├── <representation>/video.mp4 |
| ├── <representation>/prompt.txt |
| ├── prompt-context/first_frame.png # When available |
| └── visibility.json # Multi-view |
| ``` |
|
|
| Long-video prompts use JSON files or a `prompts/` directory of windowed prompts. Use `prompt_file` and the adjacent `sample.json` for exact input paths, including versioned episodes. |
|
|
| This release contains conditioning inputs and annotations; raw depth maps and generated model outputs are not included. [Release metadata](metadata/release.json) · [Sample metadata](metadata/samples.jsonl.gz). |
|
|
| ## License |
|
|
| This dataset is released under the [MIT License](LICENSE). |
|
|
| ## Citation |
|
|
| If you find PROWBench helpful for your research, please consider citing our paper: |
|
|
| ```bibtex |
| @misc{huang2026prowbench, |
| title={PROWBench: Do Video Models Render What the Program Specifies?}, |
| author={Zheng-Hui Huang and Guixu Lin and Yu-Ju Tsai and Jian-Kai Zhu and Fengbo Lan and Yu-Lun Liu and Yung-Yu Chuang and Kaipeng Zhang and Zhixiang Wang}, |
| year={2026}, |
| eprint={2610.02205}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2610.02205} |
| } |
| ``` |
|
|
