SWE-CARE: A Comprehensiveness-aware Benchmark for Code Review Evaluation
Dataset Description
SWE-CARE (Software Engineering - Comprehensive Analysis and Review Evaluation) is a comprehensiveness-aware benchmark for evaluating Large Language Models (LLMs) on repository-level code review tasks. The dataset features real-world code review scenarios from popular open-source Python and Java repositories, with comprehensive metadata and… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/SWE-CARE.
