metadata/schema.yaml

dataset: Eagle
format:
  simulation: npz
  mesh_cells: npy
  clusters: npy
sample_unit: one geometry trajectory directory, for example Tri/174/2
required_files:
  - sim.npz
  - triangles.npy
  - constrained_kmeans_10.npy
  - constrained_kmeans_20.npy
  - constrained_kmeans_30.npy
  - constrained_kmeans_40.npy
sim_npz_keys:
  pointcloud:
    shape: [time, nodes, 2]
    dtype: float32
    description_zh: 二维网格节点坐标
  mask:
    shape: [time, nodes]
    dtype: int8
    description_zh: 节点类型编码
  VX:
    shape: [time, nodes]
    dtype: float32
    description_zh: x 方向速度
  VY:
    shape: [time, nodes]
    dtype: float32
    description_zh: y 方向速度
  PS:
    shape: [time, nodes]
    dtype: float32
    description_zh: 静压分量
  PG:
    shape: [time, nodes]
    dtype: float32
    description_zh: 压力梯度或压力相关分量
mesh:
  triangles.npy:
    shape: [time, cells, 3]
    dtype: int64
clusters:
  constrained_kmeans_10.npy:
    shape: [time, cluster_groups, 10]
    dtype: int32
  constrained_kmeans_20.npy:
    shape: [time, cluster_groups, 20]
    dtype: int32
  constrained_kmeans_30.npy:
    shape: [time, cluster_groups, 30]
    dtype: int32
  constrained_kmeans_40.npy:
    shape: [time, cluster_groups, 40]
    dtype: int32
splits:
  train: metadata/train.txt
  valid: metadata/valid.txt
  test: metadata/test.txt