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metadata
license: mit
pretty_name: Evolving Agent Interfaces – Synthetic Tasks
task_categories:
- other
tags:
- computer-use
- osworld
- scienceboard
Evolving Agent Interfaces – Synthetic Tasks
Synthetic training tasks from the paper Evolving Agent Interfaces. The tasks are ungraded: they have no success labels and no reference solutions.
Code: https://github.com/simular-ai/agent-s
| File | Tasks | Benchmark |
|---|---|---|
osworld_synthetic.tar.xz |
30 | OSWorld V2 |
scienceboard_synthetic.tar.xz |
50 | ScienceBoard |
- The paper uses 48 of the 50 ScienceBoard tasks. It excludes
sb_grassgis_010andsb_chimerax_006because they fail during setup. - Setup steps are in the README inside each archive.
Citation
@misc{agashe2026evolvingagentinterfaces,
title={Evolving Agent Interfaces},
author={Saaket Agashe and Yuzhe Yang and Gonzalo Gonzalez-Pumariega and Bhuvan Chandra Koduru and Chih-Lun Li and Jiachen Yang and Ang Li and Xin Eric Wang},
year={2026},
eprint={2610.28601},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2610.28601},
}