maanas-writer/mem_agent-model_based-rl-memoryagent-14b-barexamqa-train-c32000-t128-1000s-agnostic

这是一个包含问题、上下文、正确答案、模型生成回答等信息的机器阅读理解训练数据集。数据集中的字段包括问题、上下文、正确答案、回答、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、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。

This is a machine reading comprehension training dataset containing information such as questions, contexts, ground truth answers, generated responses, etc. The fields in the dataset include question, context, ground truth, response, extracted answer, final memory, memory length, response length, context length, similarity, correctness, response URL, response URL index, model name, truncated, original context length, truncated context length, and tokens removed. The dataset is split into training set.