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Base_2_2/Zone
listlengths 1
1
| Base_2_2/Zone/Elements_TRI_3/ElementConnectivity
listlengths 35.4k
69.5k
| Base_2_2/Zone/Elements_TRI_3/ElementRange
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2
| Base_2_2/Zone/GridCoordinates/CoordinateX
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11.8k
| Base_2_2/Zone/GridCoordinates/CoordinateY
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11.8k
| Base_2_2/Zone/PointData/U1
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11.8k
| Base_2_2/Zone/PointData/U2
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11.8k
| Base_2_2/Zone/PointData/q
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11.8k
| Base_2_2/Zone/PointData/sig11
listlengths 6.14k
11.8k
| Base_2_2/Zone/PointData/sig12
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11.8k
| Base_2_2/Zone/PointData/sig22
listlengths 6.14k
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| Base_2_2/Zone/ZoneBC/Bottom/PointList
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| Base_2_2/Zone/ZoneBC/BottomLeft/PointList
listlengths 1
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| Base_2_2/Zone/ZoneBC/Top/PointList
listlengths 1
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| Global/P
listlengths 1
1
| Global/max_U2_top
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| Global/max_q
listlengths 1
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| Global/max_sig22_top
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| Global/max_von_mises
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| Global/p1
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| Global/p2
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| Global/p3
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| Global/p4
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| Global/p5
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|
[
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| [-0.7897999882698059,0.7897999882698059,0.7897999882698059,-0.7897999882698059,1.0,1.0,-1.0,-1.0,-0.(...TRUNCATED)
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| [[7,8,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,40(...TRUNCATED)
|
[
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| [0.0005619758740067482,-0.07909433543682098,-0.263534277677536,-0.004982909187674522,0.1395698189735(...TRUNCATED)
| [0.008368068374693394,0.4191426932811737,-0.45697733759880066,-0.011275076307356358,0.37283110618591(...TRUNCATED)
| [-0.01651940494775772,-0.01838916540145874,-0.1580582559108734,-0.005004234611988068,47.631855010986(...TRUNCATED)
| [[7,8,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,40(...TRUNCATED)
|
[
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|
[
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[
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End of preview. Expand
in Data Studio
data_production:
physics: 2D quasistatic non-linear structural mechanics, small deformations, plane
strain
type: simulation
legal:
license: CC-BY-SA
owner: Safran
plaid:
version: 0.1.10.dev114+gcbd3fd46f.d20251014
Example of commands:
from datasets import load_dataset
from plaid.bridges import huggingface_bridge
repo_id = "chanel/dataset"
pb_def_name = "pb_def_name" #`pb_def_name` is to choose from the repo `problem_definitions` folder
# Load the dataset
hf_datasetdict = load_dataset(repo_id)
# Load addition required data
flat_cst, key_mappings = huggingface_bridge.load_tree_struct_from_hub(repo_id)
pb_def = huggingface_bridge.load_problem_definition_from_hub(repo_id, pb_def_name)
# Efficient reconstruction of plaid samples
for split_name, hf_dataset in hf_datasetdict.items():
for i in range(len(hf_dataset)):
sample = huggingface_bridge.to_plaid_sample(
hf_dataset,
i,
flat_cst[split_name],
key_mappings["cgns_types"],
)
# Extract input and output features from samples:
for t in sample.get_all_mesh_times():
for path in pb_def.get_in_features_identifiers():
sample.get_feature_by_path(path=path, time=t)
for path in pb_def.get_out_features_identifiers():
sample.get_feature_by_path(path=path, time=t)
This dataset was generated in PLAID, we refer to this documentation for additional details on how to extract data from sample objects.
Dataset Sources
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