2D Burgers

该数据集用于模拟二维伯格斯方程的时空动态，展现出复杂的模式。它是通过高阶有限差分法和有限体积法生成的。规模上，包含了3到5条轨迹用于训练，以及10条用于测试。该数据集的任务是在粗网格上进行时空动态的预测。

This dataset simulates the spatiotemporal dynamics of the two-dimensional Burgers' equation, exhibiting complex patterns. It is generated using high-order finite difference methods and finite volume methods. In terms of scale, it includes 3–5 training trajectories and 10 testing trajectories. The core task of this dataset is spatiotemporal dynamic prediction on coarse grids.