AI article
A "decontaminated" dataset still had 52 of HumanEval's 164 problems in it
Community description: We trained a 360M parameter code model from scratch and published 26.8% pass@1 on HumanEval. Two...
Dev.to | Oct 12, 2026 | Sean Trifero
Automated excerpt
Evol-Instruct grows a dataset by repeatedly rewriting seed problems, and some of the seeds were benchmark problems. Practice on HumanEval-style problems helped on HumanEval-style problems generally, including ones that were never in the data. Only 10 MBPP problems matched removed data, and the two original-data runs differ by 11 problems.
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