mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2025-10-09 13:40:09 +03:00
104 lines
3.1 KiB
Plaintext
104 lines
3.1 KiB
Plaintext
# Third-Party Code Attribution
|
|
|
|
This project gratefully acknowledges the following open source projects that have been incorporated
|
|
or served as inspiration for parts of our codebase:
|
|
|
|
## Direct Code Reuse
|
|
|
|
### Zebra Puzzles
|
|
- Source: https://github.com/nouhadziri/faith-and-fate
|
|
- License: MIT
|
|
- Copyright (c) 2022 Nouha Dziri
|
|
|
|
### ARC 1D Tasks
|
|
- Source: https://github.com/optozorax/arc_1d
|
|
- License: MIT
|
|
- Copyright (c) 2023 University of Toronto
|
|
- Note: Generators converted to Python
|
|
|
|
### BF Generation
|
|
- Source: https://github.com/elikaski/BF-it
|
|
- License: MIT
|
|
- Copyright (c) 2020 elikaski
|
|
|
|
### Sokoban Generation and Solving
|
|
- Source: https://github.com/xbandrade/sokoban-solver-generator
|
|
- License: MIT
|
|
- Copyright (c) 2023 Bruno Andrade
|
|
|
|
### Re-ARC Dataset
|
|
- Source: https://github.com/michaelhodel/re-arc
|
|
- License: MIT
|
|
- Copyright (c) 2024 Michael Hodel
|
|
- Citation:
|
|
```
|
|
@misc{hodel2024addressingabstractionreasoningcorpus,
|
|
title={Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation},
|
|
author={Michael Hodel},
|
|
year={2024},
|
|
eprint={2404.07353},
|
|
archivePrefix={arXiv},
|
|
primaryClass={cs.LG},
|
|
url={https://arxiv.org/abs/2404.07353},
|
|
}
|
|
```
|
|
|
|
### CodeSteer Tasks
|
|
- Source: https://github.com/yongchao98/CodeSteer-v1.0
|
|
- License: Apache 2.0
|
|
- Copyright 2025 Yongchao Chen
|
|
- Citation:
|
|
```
|
|
@misc{chen2025codesteersymbolicaugmentedlanguagemodels,
|
|
title={CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance},
|
|
author={Yongchao Chen and Yilun Hao and Yueying Liu and Yang Zhang and Chuchu Fan},
|
|
year={2025},
|
|
eprint={2502.04350},
|
|
archivePrefix={arXiv},
|
|
primaryClass={cs.CL},
|
|
url={https://arxiv.org/abs/2502.04350},
|
|
}
|
|
```
|
|
|
|
### Rush Hour Dataset
|
|
- Source: https://github.com/fogleman/rush
|
|
- Website: https://www.michaelfogleman.com/rush/
|
|
- License: MIT
|
|
- Copyright (C) 2018 Michael Fogleman
|
|
- Note: Used sampled version of the RushHour database
|
|
|
|
### Knights & Knaves Problems
|
|
- Source: https://github.com/AlphaPav/mem-kk-logic
|
|
- License: MIT
|
|
- Copyright (c) 2024 AlphaPav
|
|
- Note: Adapted for K&K problem generation
|
|
- Citation:
|
|
```
|
|
@article{xie2024memorization,
|
|
title={On Memorization of Large Language Models in Logical Reasoning},
|
|
author={Chulin Xie and Yangsibo Huang and Chiyuan Zhang and Da Yu and Xinyun Chen and Bill Yuchen Lin and Bo Li and Badih Ghazi and Ravi Kumar},
|
|
year={2024},
|
|
eprint={2410.23123},
|
|
archivePrefix={arXiv},
|
|
primaryClass={cs.CL},
|
|
url={https://arxiv.org/abs/2410.23123},
|
|
}
|
|
```
|
|
|
|
### ACRE Dataset
|
|
- Source: https://github.com/WellyZhang/ACRE
|
|
- License: GPL-3.0
|
|
- Website: wellyzhang.github.io/project/acre.html
|
|
- Citation:
|
|
```
|
|
@inproceedings{zhang2021acre,
|
|
title={ACRE: Abstract Causal REasoning Beyond Covariation},
|
|
author={Zhang, Chi and Jia, Baoxiong and Edmonds, Mark and Zhu, Song-Chun and Zhu, Yixin},
|
|
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
|
|
year={2021}
|
|
}
|
|
```
|
|
|
|
We are deeply grateful to all authors of these projects for making their work available
|
|
under open source licenses, enabling us to build upon their contributions.
|