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dataset.py

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+import os
+import numpy as np
+import datasets
+
+class OrganMNIST(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description="OrganMNIST 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])}

organcmnist.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:69cd6d6b6343adc25f916c1c6e2fc786e82443670e25d5da275b1c4e32e8da7a
+size 15526411