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Sierra

company · United States

Scores

1 product on the map — 1 open.

τ-Bench

Openness

5 medium confidence
5.0
license
MIT(repository LICENSE body read on both repos
access
open(tasks and domain data ship in the repository, plain git clone, no gate)
answers
released(task definitions include the evaluation criteria
datasheet
yes(documents itself in the repository — domains README (structure, data format, available domains) plus arXiv:2506.07982

MIT covers the whole repository, with nothing held back, and the documentation lives in the repository itself rather than on a Hugging Face card, the same treatment this category already gives MT-Bench and LiveBench. Confidence is medium because the reading that no split is held out is inferred from the README and harness design rather than an explicit statement.

Adoption

2 medium confidence
2.0

τ-bench has no package or dataset download count to measure: its only matching PyPI name belongs to an unrelated package, and the Hub carries no first-party dataset. GitHub stars on the sierra-research/tau2-bench and tau-bench repositories are used instead, though a star is not a use, and τ-bench's frequent citation as an agent benchmark in frontier model releases is not a download count either.

Capability

not assessed

A dataset is not 'capable', so capability is left unscored, mirroring the category pattern (gsm8k). The task suite's difficulty is a quality property, not a capability score.