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

这是一个包含问题、上下文、正确答案、模型回答等字段的数据集，用于训练和评估自然语言处理模型。数据集中的字段包括问题文本、上下文文本、正确答案列表、模型生成的回答文本、提取的答案、最终的记忆表示、记忆长度、回答长度、上下文长度、相似度分数、是否正确、回答的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。

This dataset includes fields for questions, context, ground truth answers, model-generated responses, and more, designed for training and evaluating natural language processing models. The fields in the dataset consist of question text, context text, a list of ground truth answers, the models generated response text, extracted answers, 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 number of tokens removed. The dataset is split into a training set with provided byte size and number of examples.