maanas-writer/mem_agent-model_based-rl-memoryagent-7b-docfinqa-train-c27000-t4096-1000s-agnostic

该数据集是一个文本数据集，包含了问题、上下文、正确答案、模型响应、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数量等字段。数据集的目的是用于训练和评估模型在问答任务上的表现。训练集包含了8000个示例，总文件大小为3268386351字节。

This dataset is a text dataset that includes fields such as questions, context, ground truth answers, model responses, extracted answers, final memory, 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 intended for training and evaluating models on question-answering tasks. The training set contains 8000 examples with a total file size of 3268386351 bytes.