PGCodeLLM/FeatBench
FeatBench: Evaluating Coding Agents on Feature Implementation for Vibe Coding FeatBench is a benchmark for evaluating LLM coding agents on feature implementation in real open-source repositories. It is introduced in the paper "FeatBench: Evaluating Coding Agents on Feature Implementation for Vibe Coding" (Chen et al., 2025). The dataset hosted here is used by the extended fork at PGCodeLLM/FeatBench, which adds the following on top of the original TsinghuaISE/FeatBench:… See the full description on the dataset page: https://huggingface.co/datasets/PGCodeLLM/FeatBench.
| Author / organization | PGCodeLLM |
|---|---|
| License (as declared) | mit |
| Downloads | 186 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 30 March 2026 |
| Last updated at source | 17 April 2026 |
Recent changes
- 16 Oct 2026 Description: FeatBench: Evaluating Coding Agents on Feature Implementation for Vibe Coding FeatBench is a benchmark for evaluating LLM coding agents on feature implementation in real open-source repositories. It is introduced in the paper "FeatBench: Ev → FeatBench: Evaluating Coding Agents on Feature Implementation for Vibe Coding FeatBench is a benchmark for evaluating LLM coding agents on feature implementation in real open-source repositories. It is introduced in the paper "FeatBench: Ev
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