maanas-writer/mem_agent-model_based-rl-memoryagent-7b-docfinqa-train-c4096-t4096-10s-agnostic-nocontext

这是一个包含问题、上下文、答案和相关信息的文本数据集，用于训练和评估文本理解和回答模型。数据集分为训练集，并提供了详细的字段，包括问题的文本、上下文文本、地面真实答案、模型的响应、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。

This is a text dataset containing questions, contexts, answers, and related information for training and evaluating text understanding and answering models. The dataset is split into a training set and provides detailed fields including the text of the question, context text, ground truth answers, the models response, 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.