maanas-writer/mem_agent-model_based-rl-memoryagent-7b-ruler-qa-test-c2048-t1024-1000s-agnostic-nocontext

该数据集是一个文本问答或阅读理解数据集，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、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、截断的上下文长度和删除的token数量等字段。数据集仅包含训练集部分，文件大小为32824244字节，共有1024个示例。

This dataset is a text-based question answering or reading comprehension dataset, including 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, truncation status, original context length, truncated context length, and number of tokens removed. The dataset contains only the training set, with a file size of 32824244 bytes and a total of 1024 examples.