Ramitha/sl-results-40-gemma-self

该数据集是一个包含问题和答案对以及相关特征的数据集，用于评估不同模型生成的答案质量和与原始问题的相似度。数据集中的特征包括问题文本、答案文本、代码片段、生成答案的温度、模型名称、各种相似度得分和误差度量等。数据集分为rawcases部分，共包含680个示例。

This dataset is a collection of question-answer pairs along with related features, used for evaluating the quality of answers generated by different models and their similarity to the original questions. The features in the dataset include question text, answer text, code snippets, temperature for answer generation, model names, various similarity scores, and error metrics. The dataset is split into a rawcases section, containing a total of 680 examples.