WangSl2004/CATCH-Hacking-SFT

CATCH Hacking SFT CATCH-Hacking-SFT provides samples for supervised fine-tuning (SFT) in coding reinforcement learning (RL). Each sample pairs chain-of-thought (CoT) reasoning with code that exploits a loophole in the evaluation environment. Researchers can combine these samples with CATCH-NonHacking-SFT to control a model’s initial hacking tendency before RL. Paper: CATCH: A Controllable Analysis Testbed for Reward Hacking in Coding RL (arXiv:2609.39533). Code:… See the full description on the dataset page: https://huggingface.co/datasets/WangSl2004/CATCH-Hacking-SFT.

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