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ETH Zurich SPY Lab

lab · Switzerland

Scores

1 product on the map — 1 open.

AgentDojo

Openness

5 high confidence
5.0
license
MIT(repository LICENSE body read
access
open(pip install agentdojo
answers
released(ground-truth task and security checks ship with the suite and grade locally
datasheet
present(documentation site agentdojo.spylab.ai with API and suite docs, published results pages, plus arXiv:2406.13352)

MIT covers the whole repository, and both the suite and its evaluation code are distributed openly through PyPI and GitHub. The maintained documentation site serves in place of a Hugging Face dataset card, which this category accepts from a repository-hosted benchmark.

Adoption

3 medium confidence
3.0

Adoption is measured by PyPI downloads of the agentdojo package, which ships the full benchmark suite and whose PyPI metadata links back to the same repository. This category usually reads adoption from Hugging Face dataset downloads, but since no Hugging Face dataset exists here, the package's own downloads are read as the usage signal instead, the same treatment used for evalplus.

Capability

not assessed

A dataset is not 'capable', so capability is left unscored, mirroring the category pattern (gsm8k).