PR4Code: A Pull Requests Dataset for AI Code Generation

AI-driven code generation is evolving from handling small, localized code-completion tasks toward supporting the implementation of full software features. To support this transition, this paper introduces PR4Code, a dataset of 4,508 Java and 8,831 Python curated Pull Requests (PRs) collected from Gi...

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Bibliografski detalji

Glavni autori:	Benedetta Donato, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2026-01-01
Serija:	IEEE Access
Teme:	Pull requests feature development AI-driven code generation LLMs AI assistants commits
Online pristup:	https://ieeexplore.ieee.org/document/11606331/
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