maanas-writer/memagent_hotpotqa_train_32k

这是一个包含多个字符串特征的数据集，主要用于训练某种模型。数据集分为训练集train_32k，包含32768个示例。特征包括数据来源、提示、上下文、能力、奖励模型等。数据集的总大小为3.4GB。

This is a dataset with multiple string features, primarily used for training a certain model. The dataset is split into a training set called train_32k, which contains 32,768 examples. Features include data source, prompt, context, ability, reward model, etc. The total size of the dataset is 3.4GB.