maanas-writer/mem_agent-model_based-rl-memoryagent-14b-infbench-longbook-qa-test-c27000-t4096-10s-agnostic

该数据集包含了问题、上下文、答案以及模型响应等相关信息。数据集中的字段包括问题文本、上下文文本、正确答案列表、模型生成的响应文本、从上下文中提取的答案、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、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和移除的token数量。数据集分为训练集，并提供相应的字节数和示例数量。

The dataset includes information such as questions, contexts, answers, and model responses. The fields in the dataset consist of question text, context text, a list of correct answers, the model-generated response text, the extracted answer from the context, the final memory representation, memory length, response length, context length, similarity score, correctness, response URL, URL index, model name, whether truncated, original context length, truncated context length, and the number of tokens removed. The dataset is split into a training set with provided byte size and the number of examples.