maanas-writer/mem_agent-model_based-rl-memoryagent-7b-housingqa-test-c27000-t512-10s-agnostic

该数据集包含了问题、上下文、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、是否正确、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、移除的标记等字段。数据集分为训练集，大小为180,756字节，共有20个示例。整个数据集的大小为180,756字节，下载大小为56,568字节。

The dataset includes fields such as question, context, answer (ground_truth), response, extracted answer, final memory, memory length, response length, context length, similarity, correctness, response URL, response URL index, model name, truncation status, original context length, truncated context length, tokens removed. The dataset is split into a training set, which is 180,756 bytes in size and contains 20 examples. The total size of the dataset is 180,756 bytes, with a download size of 56,568 bytes.