GitBag/temptemp_armo_tokenized

该数据集包含多个文本响应及其对应的奖励分数，可能用于训练或评估文本生成模型。数据集中的每个样本包含一个提示（prompt）和多个响应（response_0到response_4），每个响应都有一个对应的奖励分数（reward）。此外，数据集还包含LLaMA模型生成的提示和响应，以及它们的token序列。数据集分为训练集和测试集，分别包含83和10个样本。

This dataset contains multiple text responses and their corresponding reward scores, likely used for training or evaluating text generation models. Each sample in the dataset includes a prompt and multiple responses (response_0 to response_4), each with a corresponding reward score. Additionally, the dataset includes prompts and responses generated by the LLaMA model, along with their token sequences. The dataset is divided into training and test sets, containing 83 and 10 samples respectively.