Ramitha/alqa-results-gemma-lbert

该数据集包含多个字段，主要涉及问题、答案、代码片段以及这些内容在不同模型（如Gemma、Falcon、Llama、Mistral）下的生成结果和相似性评分。数据集还包含了问题和答案的嵌入表示，以及不同模型生成的答案之间的相似性评分和重构误差。数据集可能用于评估不同模型在问答任务中的表现，或者用于研究问题和答案之间的语义相似性。

This dataset contains multiple fields, primarily involving questions, answers, code snippets, and the generated results and similarity scores of these contents under different models (such as Gemma, Falcon, Llama, Mistral). The dataset also includes embedding representations of questions and answers, as well as similarity scores and reconstruction errors between answers generated by different models. The dataset may be used to evaluate the performance of different models in question-answering tasks or to study the semantic similarity between questions and answers.