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A code-generation benchmark from OpenAI consisting of 164 hand-written Python problems with unit tests. Models are graded on whether their generated code passes the tests, usually reported as pass@1 or pass@10. HumanEval is the most cited code benchmark, though newer benchmarks address its limited scope.
AI coding assistants are evaluated on HumanEval-style benchmarks. Reading capability claims for code models requires knowing what HumanEval measures and what it leaves out.
A code-generation benchmark from OpenAI consisting of 164 hand-written Python problems with unit tests. Models are graded on whether their generated code passes the tests, usually reported as pass@1 or pass@10. HumanEval is the most cited code benchmark, though newer benchmarks address its limited scope.
AI coding assistants are evaluated on HumanEval-style benchmarks. Reading capability claims for code models requires knowing what HumanEval measures and what it leaves out.
Definitions are original explanations written for career development purposes. For authoritative technical definitions, refer to NIST, ISO, or the relevant standards body.
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