maanas-writer/mem_agent-model_based-rl-memoryagent-7b-infbench-code-debug-test-c27000-t4096-10s-agnostic

这是一个问答系统数据集，包含了问题、上下文、正确答案、模型响应、提取的答案、最终记忆、记忆长度、响应长度、上下文长度、相似度、正确性、响应URL、URL索引、模型名称、是否截断、原始上下文长度、截断的上下文长度和删除的token数量等字段。数据集分为训练集，可用于训练和评估问答系统模型。

This is a question-answering system dataset containing fields such as question, context, ground truth, model response, extracted answer, final memory, memory length, response length, context length, similarity, 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, which can be used to train and evaluate question-answering system models.