snap-stanford/hotpotqa_four_agents_pipeline-preference_modular_model_prior-bak

该数据集包含了历史对话记录（history）、对话上下文（context）、选中的回答（response_chosen）和被拒绝的回答（response_rejected）。数据集被划分为四个部分：问题重写（question_rewriter）、信息抽取（info_extractor）、提示生成（hint_generator）和答案生成（answer_generator），每个部分都包含了不同数量的示例和相应的字节数。

The dataset includes historical conversation records (history), conversation contexts (context), chosen responses (response_chosen), and rejected responses (response_rejected). The dataset is divided into four parts: question rewriter (question_rewriter), information extractor (info_extractor), hint generator (hint_generator), and answer generator (answer_generator), each containing a different number of examples and corresponding byte sizes.