dmitriihook/qwq-32b-planning-mystery-13-24k-greedy

这是一个包含问题陈述和解决计划的数据集，用于训练模型生成解决复杂问题的策略。数据集中的每个例子都包含了一个初始状态描述、目标状态和一系列操作步骤，这些步骤描述了如何从初始状态达到目标状态。操作包括Whisper、Unmask、Banish和Entangle等，每个操作都有特定的条件和效果。数据集的结构和内容使其适合用于生成式任务，如自动规划等领域。

This dataset contains problem statements and plans for solving complex problems, designed for training models to generate strategies for problem-solving. Each example in the dataset includes an initial state description, a goal state, and a series of action steps that describe how to transition from the initial state to the goal state. The actions include Whisper, Unmask, Banish, and Entangle, each with specific conditions and effects. The structure and content of the dataset make it suitable for generative tasks such as automatic planning.