maanas-writer/mem_agent-model_based-rl-memoryagent-7b-housingqa-test-c1024-t512-10s-agnostic-nocontext

这个数据集包含了问题、上下文、正确答案、响应等文本信息，以及关于这些文本的元数据，例如记忆长度、响应长度、上下文长度等。数据集被划分为训练集，并提供了对应的文件路径。数据集还包含了是否截断、原始上下文长度、截断上下文长度和删除的token数量等信息，这些信息可能用于处理文本长度超过模型限制的情况。

The dataset includes text information such as questions, contexts, correct answers, and responses, as well as metadata about the text, such as memory length, response length, context length, etc. The dataset is split into a training set and provides corresponding file paths. It also includes information such as whether it is truncated, original context length, truncated context length, and number of tokens removed, which may be used to handle cases where the text length exceeds the models limit.