dmitriihook/qwq-32b-planning-mystery-5-24k-greedy

这是一个使用distilabel创建的数据集，包含了一系列的问题和解决方案。每个问题都包含初始条件、目标以及一系列的动作。动作包括Whisper、Navigate、Calculate和Orbit等，每个动作都有对应的先决条件和效果。数据集的结构包括query、instance_id、Number of blocks等字段，以及一个嵌套的distilabel_metadata字段，其中包含了问题的详细描述和解决方案。数据集适用于训练和评估相关模型的性能。

This is a dataset created using distilabel, containing a series of problems and their solutions. Each problem includes initial conditions, goals, and a set of actions such as Whisper, Navigate, Calculate, and Orbit, each with their own preconditions and effects. The dataset structure includes fields like query, instance_id, Number of blocks, and a nested distilabel_metadata field, which contains detailed descriptions of the problems and the solutions. The dataset is suitable for training and evaluating the performance of related models.