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import os
import numpy as np
import datasets
class MedMNIST(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
description="OrganCMNIST dataset from MedMNIST collection",
features=datasets.Features(
{
"image": datasets.Array3D(dtype="uint8", shape=(28, 28, 3)),
"label": datasets.ClassLabel(num_classes=11),
}
),
)
def _split_generators(self, dl_manager):
data_dir = dl_manager.manual_dir
npz_path = os.path.join(data_dir, "organcmnist.npz")
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"npz_path": npz_path, "split": "train"}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"npz_path": npz_path, "split": "val"}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"npz_path": npz_path, "split": "test"}),
]
def _generate_examples(self, npz_path, split):
data = np.load(npz_path)
images = data[f"{split}_images.npy"]
labels = data[f"{split}_labels.npy"].squeeze()
for idx in range(len(images)):
yield idx, {"image": images[idx], "label": int(labels[idx])}
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