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To train models to better understand logical reasoning and Python syntax.

The file is structured so that an AI reads the prompt (the text) and attempts to complete the code block. Because the problems range from simple string manipulation to complex algorithms, it remains a gold standard for evaluating how "smart" a coding assistant truly is. Download 164K txt

This dataset is a benchmark created by OpenAI to test "code generation" capabilities. It consists of 164 Python programming tasks that include: To train models to better understand logical reasoning

The name and parameters of the code to be written. Docstrings: A text description of what the code should do. This dataset is a benchmark created by OpenAI

Many developers host mirrors of the HumanEval dataset for easy integration into testing pipelines. Technical Structure

The OpenAI HumanEval repository on Hugging Face allows you to download the data in JSONL or TXT-ready formats.