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--- |
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language: |
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- en |
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- ja |
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license: cc-by-nd-4.0 |
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pretty_name: ALE-Bench |
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size_categories: |
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- n<1K |
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tags: |
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- image |
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- text |
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task_categories: |
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- image-text-to-text |
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- reinforcement-learning |
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- text-generation |
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- visual-question-answering |
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--- |
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# ALE-Bench |
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## Dataset Description |
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**ALE-Bench** is a benchmark for evaluating AI systems on score-based algorithmic programming contests. |
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This dataset is **officially provided by [AtCoder Inc.](https://atcoder.jp/company?lang=en)**. |
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Please be sure to check the "License" section below. |
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Please read [our blog post](https://sakana.ai/ale-bench/) and [our paper](https://arxiv.org/abs/2506.09050) for more details. |
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**Related resources:** |
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- [Preprint paper (arXiv)](https://arxiv.org/abs/2506.09050) |
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- [Sakana AI Blog (English)](https://sakana.ai/ale-bench/) |
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- [Sakana AI Blog (Japanese)](https://sakana.ai/ale-bench-jp/) |
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- [GitHub repository](https://github.com/SakanaAI/ALE-Bench) |
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- [Leaderboard](https://sakanaai.github.io/ALE-Bench-Leaderboard/) |
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## Usage |
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[Our Python library](https://github.com/SakanaAI/ALE-Bench) automatically downloads the data from this repository. |
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```python |
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import ale_bench |
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ale_bench_session = ale_bench.start("ahc001") |
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``` |
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## License |
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[Creative Commons Attribution-NoDerivatives 4.0 International](https://creativecommons.org/licenses/by-nd/4.0/) |
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## Citation |
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```bibtex |
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@article{imajuku2025ale-bench, |
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title = {ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering}, |
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author = {Imajuku, Yuki and Horie, Kohki and Iwata, Yoichi and Aoki, Kensho and Takahashi, Naohiro and Akiba, Takuya}, |
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journal = {arXiv preprint arXiv:2506.09050}, |
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year = {2025} |
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} |
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``` |
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