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arXiv AI By Francis F Daniel, Mauro Iba\~nez, Francis Perelman, Marian Basti

Benchy: towards a universal language for task-oriented AI benchmarks

Read the original on arXiv AI →

Benchy is a semantic language and execution engine designed to standardize task-oriented AI benchmarks. Each benchmark is fully defined by a program, a scoring function, and a dataset (B=(P,S,D)), and is independent of the AI system that runs it. Benchmarks are authored in canonical YAML, compiled deterministically into JSON, and executed via a universal runtime contract that exposes a named-field input object and a named-field output object, ensuring consistent integration across AI systems.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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