maanas-writer/mem_agent-model_based-rl-memoryagent-14b-infbench-code-debug-test-c8192-t4096-1000s-agnostic

这是一个包含问题和对应上下文的数据集，旨在用于训练和评估模型对问题的回答能力。数据集中的每个样本都包含了问题、上下文、正确答案、模型生成的回答、答案的提取、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链接、URL索引、使用的模型名称、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数量等信息。

This dataset consists of questions and their corresponding contexts, designed for training and evaluating models on their ability to answer questions. Each sample in the dataset includes the question, context, ground truth answer, model-generated response, extracted answer, final memory representation, memory length, response length, context length, similarity score, correctness, response URL, URL index, model name used, whether truncated, original context length, truncated context length, and number of tokens removed.