---
title: WRBench
emoji: 🎥
colorFrom: blue
colorTo: green
sdk: static
pinned: false
short_description: Persistent-state world model benchmark
---

# WRBench

WRBench is an open benchmark for camera-controlled video world models and
diagnostic D1-D6 evaluation, introduced in *Current World Models Lack a
Persistent State Core*.

## Start Here

- Leaderboard: https://huggingface.co/spaces/WRBench/wrbench-leaderboard
- Results dataset: https://huggingface.co/datasets/WRBench/wrbench-results
- Benchmark videos: https://huggingface.co/datasets/WRBench/wrbench-videos
- Natural-25 prompts and first frames: https://huggingface.co/datasets/WRBench/wrbench-natural25
- Human annotation labels: https://huggingface.co/datasets/WRBench/wrbench-human-annotations
- Release collection: https://huggingface.co/collections/WRBench/wrbench-current-world-models-lack-a-persistent-state-core

The paper reports a frozen benchmark table. The Hugging Face results dataset and
leaderboard can be refreshed as new public results are released, so current
model, video, and support counts should be read from the data files.

## Links

- Paper: https://arxiv.org/abs/2606.20545
- Project page: https://jinplu.github.io/WRBench/
- Code: https://github.com/JinPLu/WRBench