LiberCoders/FeatureBench
FeatureBench: Agent Coding Evaluation Benchmark Dataset Description FeatureBench is a comprehensive benchmark designed to evaluate AI agents' capabilities in end-to-end feature-level code generation. Unlike traditional benchmarks that focus on function-level or algorithm-specific tasks, FeatureBench challenges agents to implement complete features within real-world software projects. Key Characteristics Feature-Level Tasks: Each task requires… See the full description on the dataset page: https://huggingface.co/datasets/LiberCoders/FeatureBench.
| Author / organization | LiberCoders |
|---|---|
| License (as declared) | mit |
| Downloads | 7.6K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 7 February 2026 |
| Last updated at source | 24 August 2026 |
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