Good Benchmarks
arXiv:2607.12217
summary
The paper outlines what makes a good benchmark task for AI, emphasizing that tasks should be correct, solvable, verifiable, well-specified, and challenging for meaningful reasons, and should reflect real problems practitioners recognize.
Abstract
Good tasks are correct, solvable, verifiable, well-specified, and hard for interesting reasons. The best tasks describe a real problem an experienced practitioner would recognize, in language a practitioner would use, with tests that verify the outcome rather than the approach.
Topics & keywords
#benchmarks#evaluation#task design#dataset quality#AI researchcorrectnessverifiabilitytask specificationhardnesspractitioner relevance