deepbreath7/LintEval
LintEval: Benchmarking LLMs on Linter-Guided File Refactoring π π π Accepted at EMNLP 2026 Findings. Paper: arXiv:2610.20027 Β· PDF A multi-language benchmark for evaluating whether LLMs can refactor code based on linter feedback while preserving functionality. Given a program plus the alerts reported by a static-analysis linter, a model must produce a revised program that (1) removes or reduces the reported alerts and (2) still passes all unit tests. Unlike code-generationβ¦ See the full description on the dataset page: https://huggingface.co/datasets/deepbreath7/LintEval.
| Author / organization | deepbreath7 |
|---|---|
| License (as declared) | mit |
| Downloads | 958 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 October 2026 |
| Last updated at source | 15 October 2026 |
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