snap-stanford/pubmed_pipeline-preference_scorer-new

这是一个包含上下文和回应选择的文本数据集，旨在训练模型选择最佳回应。数据集分为三个部分：solver_model_selector, context_analyst和context_model_selector，每个部分包含不同的样本数量。特征包括上下文文本、选择的回应文本、被拒绝的回应文本、选择和拒绝的得分、选择和拒绝的信息以及选择的变量和被拒绝的变量。

This is a text response selection dataset designed to train models to select the best response. The dataset is divided into three parts: solver_model_selector, context_analyst, and context_model_selector, each containing a different number of samples. Features include context text, chosen response text, rejected response text, scores for chosen and rejected, information for chosen and rejected, and variables for chosen and rejected.