This dataset contains six families of datasets as npz files that can be read directly as follows:
import numpy as np
ds = np.read('/path/to/dataset/*.npz')["Y"]
Within each family we have the train and test datasets already splitted up for easy use,
train_X, train_Y, test_X, test_Y
e.g. Use d1X_train_pad_flat.npz, d1Y_train_pad_flat.npz, d1X_test_pad_flat.npz and d1Y_test_pad_flat.npz as inputs to your SciML models. Our sample code is available in our github repo.
#Detailed Description of… See the full description on the dataset page:
https://huggingface.co/datasets/mpfbench99/MLReady-Bubble.
