PLAID-datasets/VKI-LS59

Dataset Card

This dataset contains a single huggingface split, named 'all_samples'.

The samples contains a single huggingface feature, named called "sample".

Samples are instances of plaid.containers.sample.Sample. Mesh objects included in samples follow the CGNS standard, and can be converted in Muscat.Containers.Mesh.Mesh.

Example of commands:

from datasets import load_dataset
from plaid.bridges.huggingface_bridge import huggingface_dataset_to_plaid

hf_dataset = load_dataset("PLAID-datasets/VKI-LS59", split="all_samples")

dataset, problem = huggingface_dataset_to_plaid(hf_dataset, processes_number = 4)

ids_train = problem.get_split('train')
ids_test  = problem.get_split('test')

sample_train_0 = dataset[ids_train[0]]
sample_test_0 = dataset[ids_test[0]]


# inputs
nodes = sample_train_0.get_nodes(base_name="Base_2_2")
elements = sample_train_0.get_elements(base_name="Base_2_2")
nodal_tags = sample_train_0.get_nodal_tags(base_name="Base_2_2")
sdf = sample_train_0.get_field("sdf", base_name="Base_2_2")
angle_in = sample_train_0.get_scalar("angle_in")
mach_out = sample_train_0.get_scalar("mach_out")

# outputs
mach = sample_train_0.get_field("mach", base_name="Base_2_2")
nut = sample_train_0.get_field("nut", base_name="Base_2_2")

for sn in ["Q", "power", "Pr", "Tr", "eth_is", "angle_out"]:
    outscalar = sample_train_0.get_scalar(sn)

Dataset Details

Dataset Description

This dataset contains 2D internal aero CFD RANS solutions, under geometrical variations, based on the VKI-LS59 blade.

The variablity in the samples are 2 input scalars and the geometry (mesh) - the signed distance function is also provided and can be used as an input field. Outputs of interest are 7 fields (6 2D-fields and 1 1D-field) and 6 scalars.

Eight nested training sets of sizes 8 to 671 are provided, with complete input-output data. A testing set of size 168 is provided, for which outputs are not provided.

Dataset created using the PLAID library and datamodel, version: 0.1.

• Language: PLAID
• License: cc-by-sa-4.0
• Owner: Safran

Dataset Sources

• Repository: Zenodo