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DDPM HI CAMELS LH arrays
This dataset repository contains the numpy arrays used to train and evaluate the 2-parameter and 6-parameter conditional DDPM HI emulators published with the companion model repositories.
Total uploaded size: approximately 7.33 GiB.
Layout
params_2/
train_LH.npy
val_LH.npy
test_LH.npy
train_labels_LH_2.npy
val_labels_LH_2.npy
test_labels_LH_2.npy
params_6/
train_LH_6.npy
val_LH_6.npy
test_LH_6.npy
train_labels_LH.npy
val_labels_LH.npy
test_labels_LH.npy
Loading Example
from huggingface_hub import hf_hub_download
import numpy as np
image_path = hf_hub_download(
repo_id="collins909/DDPM-HI-CAMELS-LH",
repo_type="dataset",
filename="params_2/test_LH.npy",
)
label_path = hf_hub_download(
repo_id="collins909/DDPM-HI-CAMELS-LH",
repo_type="dataset",
filename="params_2/test_labels_LH_2.npy",
)
images = np.load(image_path)
labels = np.load(label_path)
print(images.shape, labels.shape)
Notes
- The model code expects labels to be normalised using train-split statistics.
- The large arrays are stored as
.npyfiles and should be downloaded withhuggingface_hubrather than loaded through the standarddatasetsparquet builder. - Set the final license and citation before making this dataset public.
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