WangSl2004/CATCH-NonHacking-SFT

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

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