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OSWorld

Agents / Multimodal

OSWorld runs an agent inside a real desktop operating system. It scores whether the requested task was actually accomplished, across applications and file-system state.

osworld

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Official source

Overview only: problem text has not been published on this site; the catalogue records the benchmark introduction, category and official source.

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Reference links

Repository

Official repository

Issues

Issue tracker

At a glance

Size: Not imported here; see the official distribution for the current size.
License: Apache-2.0 (declared on the source)
Released: Repository created on GitHub 2023-10
Maintainer: xlang-ai (source organisation)
Answer access: Every task is executed in a virtual machine and graded by an execution script; there is no text corpus to republish.

What a problem looks like

A natural-language task in a real desktop environment, with a setup script and an execution-based checker.

How it is scored

Every task is executed in a virtual machine and graded by an execution script; there is no text corpus to republish.

Why it is hard

The agent has to operate real applications through the screen, and partial progress scores nothing.

Cite

@misc{OSWorld,
      title={OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments}, 
      author={Tianbao Xie and Danyang Zhang and Jixuan Chen and Xiaochuan Li and Siheng Zhao and Ruisheng Cao and Toh Jing Hua and Zhoujun Cheng and Dongchan Shin and Fangyu Lei and Yitao Liu and Yiheng Xu and Shuyan Zhou and Silvio Savarese and Caiming Xiong and Victor Zhong and Tao Yu},
      year={2024},
      eprint={2404.07972},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Discussion

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Public problem summary

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