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anemia.py

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+
+import datasets
+from datasets.tasks import ImageClassification
+
+
+_CITATION = """\
+@data{t5s2-4j73-22,
+doi = {10.21227/t5s2-4j73},
+url = {https://dx.doi.org/10.21227/t5s2-4j73},
+author = {Dimauro, Giovanni and Maglietta, Rosalia and Bai, Thulasi and Kasiviswanathan, Sivachandar},
+publisher = {IEEE Dataport},
+title = {Eyes-defy-anemia},
+year = {2022} }
+"""
+
+_DESCRIPTION = """\
+The dataset Eyes-defy-anemia contains 218 images of eyes, in particular 
+conjunctivas, which can be used for research on the diagnosis/estimation 
+of anemia based on the pallor of conjunctiva.
+"""
+
+_URLS = {
+    "train": "https://huggingface.co/datasets/Yahaira/anemia-eyes/blob/main/data/train.zip",
+    "validation": "https://huggingface.co/datasets/Yahaira/anemia-eyes/blob/main/data/validation.zip",
+    "test": "https://huggingface.co/datasets/Yahaira/anemia-eyes/blob/main/data/test.zip",
+}
+
+_NAMES = ["Anemia, NoAnemia"]
+
+
+class Anemia(datasets.GeneratorBasedBuilder):
+    """Beans plant leaf images dataset."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image_file_path": datasets.Value("string"),
+                    "image": datasets.Image(),
+                    "labels": datasets.features.ClassLabel(names=_NAMES),
+                }
+            ),
+            supervised_keys=("image", "labels"),
+            citation=_CITATION,
+            task_templates=[ImageClassification(image_column="image", label_column="labels")],
+        )
+
+    def _split_generators(self, dl_manager):
+        data_files = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "files": dl_manager.iter_files([data_files["train"]]),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "files": dl_manager.iter_files([data_files["validation"]]),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "files": dl_manager.iter_files([data_files["test"]]),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, files):
+        for i, path in enumerate(files):
+            file_name = os.path.basename(path)
+            if file_name.endswith(".jpg"):
+                yield i, {
+                    "image_file_path": path,
+                    "image": path,
+                    "labels": os.path.basename(os.path.dirname(path)).lower(),
+                }

data/test.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c526dc85c97e2818abb321a5649857c1f994c2d072604f48a2ad21347915e64d
+size 53673267

data/train.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cabf0fc7248e5ab12b4038091232458d8649939eb88aea2de92b8d7b10e94ed4
+size 421003693

data/validation.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11c99025c3ba5f2523963f826953cf0862b584cb057279a4eddbd2d3fe88666e
+size 51176131