maanas-writer/mem_agent-model_based-rl-memoryagent-7b-bizbench-test-c1024-t512-10s-agnostic-fullcontext

该数据集包含了问题、上下文、正确答案、模型生成的响应、提取的答案、最终的记忆表示、记忆长度、响应长度、上下文长度、相似度分数、是否正确、响应的URL链接、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、移除的token数量等字段。数据集被划分为训练集，共有20个示例，大小为101479字节。The dataset includes fields such as questions, context, ground truth answers, model-generated responses, extracted answers, final memory representation, memory length, response length, context length, similarity score, correctness, response URL link, URL index, model name, whether truncated, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set with 20 examples, totaling 101479 bytes in size.