9 datasets found

Wizardcoder: Empowering code large language models with evol-instruct

Magicoder: Source code is all you need

Instruction-finetuned code language models have shown promise in various programming tasks. They are trained, using a language modeling objective, on natural language...

The dataset used in this paper is the MBPP dataset, which contains code snippets and their corresponding test cases.

The paper presents the results of the OpenAI Codex evaluation on generating Python code.

Code completion is considered as an essential feature towards efficient software development in modern Integrated Development Environments (IDEs).

The dataset used in the paper is a code generation benchmark, consisting of 164 function declarations alongside their documentation, 500 test examples, each one is an...

Code generation models fail at completing code with potential bugs.

The dataset used in this paper is the CodeT5 dataset, which is a code generation large language model.