Datasets:
metadata
license: cc-by-4.0
task_categories:
- graph-ml
pretty_name: ForceASR dataset
tags:
- physics learning
- geometry learning
dataset_info:
features:
- name: Base_2_2/Zone
list:
list: int64
- name: Base_2_2/Zone/Elements_QUAD_4/ElementConnectivity
list: int64
- name: Base_2_2/Zone/Elements_QUAD_4/ElementConnectivity_times
list: float64
- name: Base_2_2/Zone/Elements_QUAD_4/ElementRange
list: int64
- name: Base_2_2/Zone/Elements_QUAD_4/ElementRange_times
list: float64
- name: Base_2_2/Zone/GridCoordinates/CoordinateX
list: float32
- name: Base_2_2/Zone/GridCoordinates/CoordinateX_times
list: float64
- name: Base_2_2/Zone/GridCoordinates/CoordinateY
list: float32
- name: Base_2_2/Zone/GridCoordinates/CoordinateY_times
list: float64
- name: Base_2_2/Zone/PointData/Displacement_X
list: float32
- name: Base_2_2/Zone/PointData/Displacement_X_times
list: float64
- name: Base_2_2/Zone/PointData/Displacement_Y
list: float32
- name: Base_2_2/Zone/PointData/Displacement_Y_times
list: float64
- name: Base_2_2/Zone/PointData/PhaseField
list: float32
- name: Base_2_2/Zone/PointData/PhaseField_times
list: float64
- name: Base_2_2/Zone/PointData/materialID
list: float32
- name: Base_2_2/Zone/PointData/materialID_times
list: float64
- name: Base_2_2/Zone_times
list: float64
- name: Global/config
list: string
- name: Global/fracture energy
list: float32
- name: Global/fref
list: float32
- name: Global/fref_times
list: float64
- name: Global/pfThres
list: float32
- name: Global/pfThres_times
list: float64
- name: Global/strain energy
list: float32
- name: Global/total energy
list: float32
- name: Global/x-force
list: float32
- name: Global/y-force
list: float32
splits:
- name: res_SENS
num_bytes: 3436764375
num_examples: 28
download_size: 1927341954
dataset_size: 3436764375
configs:
- config_name: default
data_files:
- split: res_SENS
path: data/res_SENS-*
data_production:
physics: phase-field fracture models for brittle fracture
script: Subset 'res-SENS' of the initial dataset, 1/5th time steps, converted to
PLAID format for standardized access; no changes to data content.
type: simulation
legal:
license: cc-by-4.0
owner: RK 2423 FRASCAL (https://zenodo.org/records/7445749)
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.