---
title: MobileWorld
canonical_url: "https://www.modelscope.cn/datasets/Tongyi-MAI/MobileWorld"
md_url: "https://www.modelscope.cn/datasets/Tongyi-MAI/MobileWorld.md"
repository: Tongyi-MAI/MobileWorld
last_updated: 2026-01-04
license: apache-2.0
storage_size: "61 KB"
downloads: 91
stars: 0
---

# MobileWorld

> MobileWorld - Tongyi-MAI 在 ModelScope 开源的数据集。MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments

Tongyi-MAI/MobileWorld 是 ModelScope 魔搭社区上的数据集，存储大小 61 KB，采用 apache-2.0 许可。

- **Repository**: Tongyi-MAI/MobileWorld
- **License**: apache-2.0
- **Storage size**: 61 KB
- **Downloads**: 91
- **Stars**: 0
- **Last updated**: 2026-01-04

Source: https://www.modelscope.cn/datasets/Tongyi-MAI/MobileWorld

---

# MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments

Mobile World is a substantially more challenging mobile-use benchmark designed to better reflect real-world mobile usage. It comprises 201 tasks across 20 applications, featuring long-horizon, cross-app tasks, and novel task categories including agent-user interaction and MCP-augmented tasks.

The difficulty of Mobile World is twofold:

- Long-horizon, cross-application tasks. Mobile World tasks require on average 27.8 completion steps, nearly twice as many as 14.3 steps required in AndroidWorld. Moreover, 62.2% of tasks involve cross-application workflows compared to only 9.5% in AndroidWorld.
- Novel task categories. Mobile World extends beyond standard GUI manipulation by introducing (1) agent-user interaction tasks (22.4%) that evaluate an agent's ability to handle ambiguous instructions through collaborative dialogue, and (2) MCP-augmented tasks (19.9%) that require hybrid-usage of GUI navigation and external tool invocations via the Model Context Protocol.

![image](https://cdn-uploads.huggingface.co/production/uploads/63525c3a6cfb8f1498127a34/ndnkD2k9sEJrJrrYLzq-B.png)

The system architecture of Mobile World consists of two main components. Left: the host machine is where GUI agents receive task instructions and optionally interact with users for clarification, then choose between GUI actions or MCP tool calls to complete tasks. Right: the docker environment contains an isolated Android ecosystem with emulators, self-hosted app backends, and an evaluator that verifies task completion through text matching, backend database, local storage, and app callbacks.
![image](https://cdn-uploads.huggingface.co/production/uploads/63525c3a6cfb8f1498127a34/mhurYcCzPg3Rv_MRrpjKy.png)

In this dataset, we provide an overview of all task goals in our benchmark.

- Github: https://github.com/Tongyi-MAI/MobileWorld
- Project Page: https://tongyi-mai.github.io/MobileWorld/
- arxiv: https://arxiv.org/abs/2512.19432