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

该数据集包含问题、上下文、正确答案、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、响应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，提供了字节数和示例数。但具体的应用场景和详细描述未在README中给出。The dataset includes fields such as question, context, ground truth, response, extracted answer, final memory, memory length, response length, context length, similarity, correctness, response URL, response 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 provided byte size and number of examples. However, the specific application scenario and detailed description are not given in the README.