maanas-writer/mem_agent-model_based-rl-memoryagent-7b-infbench-longbook-choice-test-c8192-t4096-20s-agnostic

这是一个包含问题和对应上下文的数据集，旨在用于训练机器学习模型来生成正确的答案。数据集包含了问题、上下文、正确答案、模型生成的答案、提取的答案、最终的记忆表示、记忆长度、答案长度、上下文长度、相似度分数、是否正确、答案的URL、URL索引、模型名称、是否截断、原始上下文长度、截断后的上下文长度和移除的token数量等字段。数据集分为训练集，共有160个示例，文件大小为70593991字节。

This dataset consists of questions and their corresponding contexts, designed for training machine learning models to generate correct answers. It includes fields such as question, context, ground truth, model-generated response, extracted answer, final memory representation, memory length, response length, context length, similarity score, correctness, response URL, URL index, model name, truncation status, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set with 160 examples, totaling 70593991 bytes in size.