Datasets:
Modalities:
3D
Size:
10K<n<100K
import json | |
import os | |
import datasets | |
class WindtunnelDataset(datasets.GeneratorBasedBuilder): | |
"""Dataset for loading simulation data with JSON and mesh files""" | |
def _info(self): | |
return datasets.DatasetInfo( | |
features=datasets.Features( | |
{ | |
"coeff": datasets.Value("binary"), # JSON file as a dictionary | |
"input": datasets.Value("binary"), # JSON file as a dictionary | |
"input_mesh": datasets.Value("binary"), # OBJ mesh file as binary | |
"openfoam_mesh": datasets.Value( | |
"binary" | |
), # OBJ mesh file as binary | |
"pressure_field_mesh": datasets.Value( | |
"binary" | |
), # VTK file as binary | |
"streamlines_mesh": datasets.Value("binary"), # PLY file as binary | |
} | |
), | |
homepage="https://inductiva.ai", | |
) | |
def _split_generators(self, dl_manager): | |
"""Define the splits for the dataset.""" | |
train_dir = "train" | |
val_dir = "validation" | |
test_dir = "test" | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, gen_kwargs={"path": train_dir} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs={"path": val_dir}, | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
gen_kwargs={"path": test_dir}, | |
), | |
] | |
def _generate_examples(self, path): | |
"""Generate examples for each split.""" | |
id = 0 | |
for root, dirs, files in os.walk(path): | |
for file in files: | |
yield ( | |
id, | |
{ | |
"label": id, | |
}, | |
) | |
id += 1 | |