This dataset is part of the research presented in the paper Debunk the Myth of SFT Generalization. It contains data for the General Points decision-making benchmark, which is used to evaluate the generalization capabilities of Supervised Fine-Tuning (SFT) models against Reinforcement Learning (RL) baselines. The paper explores the impact of prompt diversity and Chain-of-Thought (CoT) supervision on SFT's ability to… See the full description on the dataset page:
https://huggingface.co/datasets/Xiaofeng77/diverse-answer-only-gp-l-only-10k.