maanas-writer/mem_agent-model_based-llama-3-3-70b-i-gsminf-ops_12-c27000-t2048-10s-agnostic

该数据集是一个包含问题、上下文、答案和相关信息的文本数据集，适用于训练和评估文本理解和回答模型。数据集中的字段包括问题文本、上下文文本、正确答案列表、响应文本、提取的答案、最终记忆、记忆长度、响应长度、上下文长度、相似度分数、是否正确、响应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删除的token数量。数据集分为训练集，并提供了相关的配置信息。

This dataset is a text dataset containing questions, contexts, answers, and related information, suitable for training and evaluating text understanding and answering models. The fields in the dataset include question text, context text, list of correct answers, response text, extracted answer, final memory, memory length, response length, context length, similarity score, correctness, response URL, URL index, model name, truncation status, original context length, truncated context length, and number of tokens removed. The dataset is split into a training set and provides related configuration information.