---
title: WBench-examples
canonical_url: "https://www.modelscope.cn/datasets/meituan-longcat/WBench-examples"
md_url: "https://www.modelscope.cn/datasets/meituan-longcat/WBench-examples.md"
repository: meituan-longcat/WBench-examples
last_updated: 2026-06-10
license: cc-by-nc-4.0
storage_size: "6.6 GB"
downloads: 4885
stars: 0
---

# WBench-examples

> WBench-examples - meituan-longcat 在 ModelScope 开源的数据集。Reference video submissions for WBench, a benchmark for interactive video world models. Each folder is a ready-to-evaluate submission package — drop it into workdirs/ and run the WBench pipeline.

meituan-longcat/WBench-examples 是 ModelScope 魔搭社区上的数据集，存储大小 6.6 GB，采用 cc-by-nc-4.0 许可。

- **Repository**: meituan-longcat/WBench-examples
- **License**: cc-by-nc-4.0
- **Storage size**: 6.6 GB
- **Downloads**: 4885
- **Stars**: 0
- **Last updated**: 2026-06-10

Source: https://www.modelscope.cn/datasets/meituan-longcat/WBench-examples

---

<div align="center">
  <h1>WBench-examples</h1>

[![Homepage](https://img.shields.io/badge/Homepage-blue?style=for-the-badge&logo=google-chrome&logoColor=white)](https://meituan-longcat.github.io/WBench/)
[![Paper](https://img.shields.io/badge/Paper-red?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2605.25874)
[![GitHub](https://img.shields.io/badge/Code-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/meituan-longcat/WBench)
[![Datasets](https://img.shields.io/badge/Datasets-4285F4?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/datasets/meituan-longcat/WBench)
[![ModelScope](https://img.shields.io/badge/ModelScope-6B4EFF?style=for-the-badge&logo=data:image/svg+xml;base64,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&logoColor=white)](https://modelscope.cn/datasets/meituan-longcat/WBench-examples)

</div>

Reference video submissions for [**WBench**](https://github.com/meituan-longcat/WBench),
a benchmark for interactive video world models. Each folder is a ready-to-evaluate
submission package — drop it into `work_dirs/` and run the WBench pipeline.

## Contents

| Folder | Model | Type | Split | Videos |
|:---|:---|:---|:---|:---:|
| `hyworld1.5/` | HY-World 1.5 (Tencent) | camera | navi | 158 |
| `kling3/` | Kling 3.0 (Kling AI) | text | full | 289 |

```
<model>/
├── meta.json                    # model metadata
├── turns.json                   # per-video turn boundaries
└── videos/
    └── case_<id>_combined.mp4   # combined multi-turn clip
```

## Usage

```bash
# evaluate a package with the WBench pipeline
git clone https://github.com/meituan-longcat/WBench
cp -r kling3 WBench/work_dirs/
cd WBench && python main.py --model kling3
```

See the [submission format](https://github.com/meituan-longcat/WBench/blob/main/docs/SUBMISSION.md)
for how to build your own package.

## Citation

```bibtex
@article{ying2026wbenchcomprehensivemultiturnbenchmark,
  title={WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation},
  author={Ying, Kaining and Hu, Hengrui and Ren, Siyu and Li, Jiamu and Chen, Fengjiao and Wang, Ziwen and Cao, Xuezhi and Cai, Xunliang and Ding, Henghui},
  journal={arXiv preprint arXiv:2605.25874},
  year={2026}
}
```