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openai/human-eval resource

Code for the paper "Evaluating Large Language Models Trained on Code" observed · 2026-08-28

github.com/openai/human-eval · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

33/100

  • Activity 2
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1884
  • days_rel: n/a
  • days_push: 593
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3354 stars · 458 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

HumanEval is a hand-written evaluation dataset of 164 Python programming problems with unit tests, plus a harness for measuring code-generation model performance via pass@k functional correctness. It accompanies OpenAI's paper 'Evaluating Large Language Models Trained on Code'.

Use cases

  • benchmark a code-generation LLM on HumanEval
  • compute pass@1 pass@10 pass@100 for code completions
  • evaluate functional correctness of generated Python code
  • compare code models against a standard coding benchmark
  • run unit tests against model-generated completions

When to choose

  • you need a standard, widely-cited benchmark for code generation models
  • you want functional-correctness scoring with unit tests rather than string matching
  • you are reproducing results from code LLM papers

When to avoid

  • you need a sandboxed execution environment - the harness runs untrusted generated code and deliberately leaves sandboxing to you
  • you need evaluation in languages other than Python
  • you need a maintained multi-task benchmark suite - this is a single frozen dataset

Facets

dataset · maturity maintenance

testing benchmarking large-language-models machine-learning developer-tools programming-languages python cli cross-platform code-generation llm-evaluation humaneval pass-at-k benchmark-harness unit-tests evaluation

1 source

Member repositories

RepositoryRoleHealth v2
openai/human-evalmain33

For agents

markdown · JSON · MCP: product_card(name="openai/human-eval")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem