SWE-CC
Harbor: pendingEvaluates coding agents' compliance with 823 repository-specific policies across 12 open-source projects using 500 tasks derived from SWE-bench Verified.
- Samples
- 500
- Released
- 2026
- Scores
- 4
SWE-CARE
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.
How to run
ltb · swe-care
$ npm i -g lettokenburn-cli$ ltb bench info swe-care
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
0 sourced entriesNo sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
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About
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…