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Datasets:
PLAID-datasets
/
2D_profile

Tasks:
Graph Machine Learning
Formats:
parquet
Size:
< 1K
Tags:
physics learning
geometry learning
Libraries:
Datasets
Dask
License:
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The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Dataset Card

image/png image/png

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/2D_profile", 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()
elements = sample_train_0.get_elements()
nodal_tags = sample_train_0.get_nodal_tags()

# outputs
for fn in ['Mach', 'Pressure', 'Velocity-x', 'Velocity-y']:
    field = sample_train_0.get_field(fn)

Dataset Details

Dataset Description

This dataset contains 2D external aero CFD RANS solutions, under geometrical variations.

The variablity in the samples is the geometry (mesh). Outputs of interest are 4 fields. Each sample have been computed on large refined meshes, which have been cut close to the profil.

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

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

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