Ramitha/alqa-results-falcon-lbert

该数据集包含多个字段，主要涉及问题、答案、文本片段以及不同语言模型（如Falcon、Llama、Mistral、Gemma）生成的回答或问题与回答的组合。此外，还包括嵌入向量、余弦相似度、重建误差等指标，可能用于评估或比较不同语言模型在问答任务上的性能。数据集分为一个名为rawcases的分割，包含2084个示例，总大小为318571499字节。

This dataset includes multiple fields primarily related to questions, answers, text snippets, and responses or combinations of questions and answers generated by different language models (such as Falcon, Llama, Mistral, Gemma). Additionally, it includes metrics like embedding vectors, cosine similarity, and reconstruction errors, likely used for evaluating or comparing the performance of different language models on question-answering tasks. The dataset is divided into a split named rawcases, containing 2084 examples with a total size of 318571499 bytes.