Blame for README.md

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title: README
emoji: 😻
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colorTo: purple
sdk: static
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<p align="center">
  <img src="https://huggingface.co/datasets/Program-Lab/ProgramLab/resolve/main/assets/logo.png" alt="ProgramLab" height="56">
</p>

<p align="center"><b>Train single and multi agents to rebuild programs with RL</b></p>

<p align="center">
  <a href="https://programlab.blog/"><img alt="Blog" src="https://img.shields.io/badge/%F0%9F%93%9D%20Blog-programlab.blog-111111?style=for-the-badge"></a>
  <a href="https://github.com/programlab-agent/ProgramLab"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&logo=github"></a>
  <a href="https://huggingface.co/datasets/Program-Lab/ProgramLab"><img alt="Dataset" src="https://img.shields.io/badge/Dataset-ProgramLab-ffcc4d?style=for-the-badge&logo=huggingface"></a>
</p>

1,261 RL environments where an agent runs a compiled program it cannot read, then rebuilds the whole program in any language.

**Built for RL**

- **Graded reward**: the reward is the pass rate over hidden behavioral tests. There are 187,070 in total, a median of 127 per task, and over 90% of tasks have at least 50, so partial progress earns partial reward.
- **Validated reward**: tests that the original program fails, that an empty program passes, or that are flaky are removed.
- **Hard to hack**: the agent never sees the source or the tests, and the reference program is execute-only and offline.
- **Ready to run**: one prebuilt image per task, scored by the official ProgramBench evaluator.

RL on ProgramLab raises Qwen3.6-35B-A3B on ProgramBench from 13.7% to 24.0% (Claude Code, two-hour budget).

- [ProgramLab](https://huggingface.co/datasets/Program-Lab/ProgramLab): tasks, metadata, and build files
- [ProgramLab-Tests](https://huggingface.co/datasets/Program-Lab/ProgramLab-Tests): hidden tests
- Prebuilt task images: `ghcr.io/programlab-agent/programlab`