maanas-writer/mem_agent-model_based-rl-memoryagent-7b-barexamqa-train-c32000-t128-1000s-agnostic

这是一个包含问题和对应上下文的文本数据集，其中每个示例都包括问题的上下文、地面真实答案、模型生成的回答、提取的答案、最终的记忆表示、记忆长度、回答长度、上下文长度、相似度分数、是否正确、回答的URL链接、URL索引、使用的模型名称、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。数据集被划分为训练集，共有3157个示例，大小为12,477,630字节。

This is a text dataset containing questions and their corresponding contexts, where each example includes the context of the question, the ground truth answer, the models generated response, the extracted answer, the final memory representation, memory length, response length, context length, similarity score, correctness, response URL, URL index, model name, whether it is truncated, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set with a total of 3,157 examples, totaling 12,477,630 bytes in size.