May 20, 2021 · Our benchmark measures the ability of models to take an arbitrary natural language specification and generate satisfactory Python code.

It contains 10,000 programming problems at various levels of difficulty, covering simple introductory problems, interview-level problems, and coding competition ...

This is the repository for Measuring Coding Challenge Competence With APPS by Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan ...

Oct 11, 2021 · Our benchmark measures the ability of models to take an arbitrary natural language specification and generate satisfactory Python code.

Nov 8, 2021 · APPS evaluates models not only on their ability to code syntactically correct programs, but also on their ability to understand task.

APPS, a benchmark for code generation, measures the ability of models to take an arbitrary natural language specification and generate satisfactory Python ...

The APPS benchmark uses this dataset to mirror the evaluation of human programmers as they progress from beginner to expert level by posing coding exercises in ...

May 21, 2021 · To meet this challenge, we introduce APPS, a benchmark for code generation. Unlike prior work in more restricted settings, our benchmark ...

We introduce APPS, a dataset and benchmark for code generation. APPS focuses on the ability of a model to take problem specifications in natural language and ...

Taking the best of five candidate solutions markedly improves performance. A Checklist Information. 1. Legal Compliance. In APPS, we scrape question text, ...