maanas-writer/mem_agent-model_based-rl-memoryagent-7b-triviaqa-val-c27000-t2048-10s-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、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。这些信息被用于训练机器学习模型，特别是在处理问答和上下文理解任务时。训练集包含20个示例，数据集总大小为2,627,636字节。

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, truncation status, original context length, truncated context length, and number of tokens removed. This information is used for training machine learning models, particularly for question-answering and context comprehension tasks. The training set contains 20 examples, and the total size of the dataset is 2,627,636 bytes.