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the official repository of the WorldArena benchmark

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# WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models

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## Table of Contents

- [Overview](#-overview)
- [Video Quality Evaluation](#-video-quality-evaluation)
- [Embodied Task Evaluation](#-embodied-task-evaluation)
- [Leaderboard](#-leaderboard)

## 🔍 Overview

WorldArena is a unified benchmark designed to systematically evaluate embodied world models across both **perceptual** and **functional** dimensions. WorldArena assesses models through **(1) video perception quality**, measured with sixteen metrics across six sub-dimensions; **(2) embodied task functionality**, which evaluates world models as synthetic data engines, policy evaluators, and action planners; **(3) human evaluations**, including overall quality, physics adherence, instruction following and head-to-head win rate. Furthermore, we propose **EWMScore**, a holistic metric integrating multi-dimensional performance into a single interpretable index. This work provides a framework for tracking progress toward truly functional world models in embodied AI.

## 🎬 Video Quality Evaluation
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Please refer to [video quality](https://github.com/worldarena/WorldArena/blob/main/video_quality/README.md) for implementation.

## 🤖 Embodied Task Evaluation

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Please refer to [embodied task](https://github.com/worldarena/WorldArena/blob/main/embodied_task/Readme.md) for implementation.

## 🏆 Leaderboard

The official WorldArena leaderboard is hosted on HuggingFace: [![Leaderboard](https://img.shields.io/badge/Leaderboard-HuggingFace-2D2D2D?style=flat&logo=huggingface&logoColor=ffcc00)](https://huggingface.co/spaces/WorldArena/WorldArena). It provides standardized evaluation results across video perception quality, embodied task functionality, and the unified EWMScore.

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