| --- |
| license: other |
| pretty_name: ProgramLab |
| configs: |
| - config_name: default |
| data_files: instances.jsonl |
| task_categories: |
| - text-generation |
| tags: |
| - code |
| - agents |
| - reinforcement-learning |
| - programbench |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| <p align="center"> |
| <img src="https://huggingface.co/datasets/Program-Lab/ProgramLab/resolve/main/assets/logo.png" alt="ProgramLab" height="64"> |
| </p> |
|
|
| <p align="center"> |
| <a href="https://programlab.blog/"><img alt="Blog" src="https://img.shields.io/badge/Blog-programlab.blog-111111?labelColor=f2f2f2&logo=data:image/svg%2bxml;base64,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"></a> |
| <a href="https://github.com/programlab-agent/ProgramLab"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?logo=github"></a> |
| <a href="https://huggingface.co/datasets/Program-Lab/ProgramLab-Tests"><img alt="Tests" src="https://img.shields.io/badge/Tests-ProgramLab--Tests-ffcc4d?logo=huggingface"></a> |
| </p> |
|
|
| 1,261 environments for training agents to rebuild real programs. In each task the agent can run a compiled |
| program but not read it, reads its documentation, and writes the whole program again in any language. Hidden |
| behavioral tests compare its program with the reference. Tasks use the [ProgramBench](https://programbench.com) |
| format, so the official evaluator scores them unchanged. |
|
|
| | Tasks | Languages | Difficulty | Hidden tests | Code coverage | |
| |:---:|:---:|:---:|:---:|:---:| |
| | **1,261** | 566 Go · 415 Rust · 280 C/C++ | 205 easy · 888 medium · 168 hard | **187,073** (median 127 per task) | median **76.6%** | |
|
|
| ## Quickstart |
|
|
| Start from the setup in the [code repository](https://github.com/programlab-agent/ProgramLab#quickstart). |
|
|
| ## Files |
|
|
| ``` |
| ProgramLab/ |
| ├── instances.jsonl one row per task: repo, commit, language, difficulty, size, |
| │ tests, coverage, license, image |
| ├── tasks.tar.gz task definitions, installed into ProgramBench by setup.sh |
| │ └── <instance_id>/ |
| │ ├── task.yaml |
| │ └── tests.json test ids per suite; excluded tests are marked |
| ├── build/ to rebuild the images yourself instead of pulling them |
| │ ├── build.sh |
| │ ├── base.v6.tar.gz base image, for docker load |
| │ ├── base.v6.Dockerfile |
| │ ├── contexts/<instance_id>.tar.gz Docker build context of each task |
| │ ├── isolation_manifest.json hashes checked before each build |
| │ ├── verify_context.py |
| │ └── probe.py isolation check run inside each built image |
| └── assets/logo.png |
| ``` |
|
|
| The hidden tests live in [ProgramLab-Tests](https://huggingface.co/datasets/Program-Lab/ProgramLab-Tests). |
|
|
| ## Validation |
|
|
| Every task passed these checks before release: |
|
|
| - **Cleanroom.** The reference runs as an execute-only binary (mode `0111`) with no network, no source, no build |
| cache, and no recoverable Git history. Images are probed for these properties as the agent user. |
| - **Real and empty programs.** The original program scores 100% under the official evaluator, and an empty |
| program that does nothing scores 0. Tests that the original program fails (4,047) or that the empty program |
| passes (1,735) are excluded from scoring. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{programlab2026, |
| title={ProgramLab: Train single and multi agents to rebuild programs with RL}, |
| author={Yao Tang and Daixuan Cheng and Li Dong and Zhihao Zhan and Shaohan Huang and Jiatao Gu and Furu Wei}, |
| howpublished={Blog Post}, |
| url={https://programlab.blog/}, |
| year={2026} |
| } |
| ``` |
|
|
