GitBag/llama3-ultrafeedback-reasoning-iter_2-1732268914

该数据集包含多个字段，主要涉及提示（prompt）、增强提示（augmented_prompt）以及多个轨迹（traj）的解决方案（solution）和思考（thought）。这些字段表明数据集可能用于训练模型以处理和生成基于提示的解决方案，涉及多个步骤的思考和决策过程。数据集包含一个训练分割，共有60814个示例，总大小为1497967114字节。

This dataset includes multiple fields primarily related to prompts, augmented prompts, and solutions and thoughts for multiple trajectories (traj). These fields suggest that the dataset may be used to train models to process and generate solutions based on prompts, involving multiple steps of thinking and decision-making. The dataset contains one training split with a total of 60,814 examples and a total size of 1,497,967,114 bytes.