HumanEval

HumanEval is a benchmark for code generation and code reasoning. The official description says: "HumanEval - Python code generation from function signatures and docstrings". Below we describe in simple words what benchmarks of this type generally examine.

HumanEval measures code generation and code reasoning. In detail, it checks:

• writing programs that must pass hidden unit tests
• predicting what a given piece of code outputs (true code comprehension)
• handling edge cases, not just the happy path
• producing runnable, correct solutions from short specifications

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: HumanEval - Python code generation from function signatures and docstrings. 0-shot.

What is the HumanEval benchmark?

HumanEval is a benchmark for code generation and code reasoning. The official description says: 'HumanEval - Python code generation from function signatures and docstrings'. Below we describe in simple words what benchmarks of this type generally examine.

What does HumanEval test?

HumanEval mainly measures code generation and code reasoning. Concretely, it checks: writing programs that must pass hidden unit tests; predicting what a given piece of code outputs (true code comprehension); handling edge cases, not just the happy path.

How is the HumanEval score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get HumanEval data and scores?

The official source is https://arxiv.org/abs/2107.03374. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/humaneval/scores) or pull it directly from the Open LLM Radar API with any HTTP client.