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ENT-3e5d2087-d0b9-4f35-b4a7-dcd41c022197 · benchmark · code generation functional correctness benchmark

HumanEval

Reviewed identifier openai/human-eval@6d43fb980f9fee3c892a914eda09951f772ad10d · current status intentionally unknown

Scope

Reviewed benchmark or evaluation-protocol identity; model results and leaderboard ranks are separate, unrepresented observations.

Boundary

Executing generated code is explicitly unsafe without a robust sandbox. Functional-test passage is not proof of secure, maintainable or production-ready code.

Benchmark comparability passport

Publisher
OpenAI
Version
source revision 6d43fb98; no semantic benchmark version stated
Task scope
Hand-written problem-solving dataset for generated Python function completions evaluated by executable tests.
Metric contract
pass@k estimated from multiple generated samples; the official evaluator refuses cases with fewer samples than k because no unbiased estimator is available.
Evaluation conditions
Result identity includes problem file, sample count per task, k values, generation settings, completion format, evaluator revision and sandbox/runtime resources.
Comparability boundary
Compare only results with aligned task data, sampling count and generation setup, k, evaluator revision and runtime; pass@1 and pass@100 answer different questions.
Contamination boundary
The selected source does not establish absence of HumanEval problem or solution exposure in training data.

This passport describes a benchmark definition or protocol. It publishes no model score, rank or cross-version equivalence.

Source-qualified relations

  1. No reviewed relation is asserted for this identity.

Atlas claims with an exact source route

  1. No exact source-URL connection in r0056. No name match was substituted.

Every displayed attribute links to source-qualified statement IDs. Relations are explicit and source-qualified. Identity does not imply ownership, legal status, present availability or equivalence with a mutable alias.