init

.gitattributes

@@ -52,3 +52,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+train.csv filter=lfs diff=lfs merge=lfs -text
+test.csv filter=lfs diff=lfs merge=lfs -text

load_script.py

@@ -0,0 +1,33 @@
+import datasets
+from datasets.tasks import TaskTemplate
+from sklearn.model_selection import train_test_split
+
+_ORIGIN = "https://archive-beta.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic"
+_CITATION = """\
+Wolberg,William, Street,W. & Mangasarian,Olvi. (1995). Breast Cancer Wisconsin (Diagnostic). UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.
+"""
+_DESCRIPTION = """\
+Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass.  They describe characteristics of the cell nuclei present in the image. A few of the images can be found at http://www.cs.wisc.edu/~street/images/
+"""
+
+class WisconsinBreastCancer(datasets.GeneratorBasedBuilder):
+    def _info(self) -> datasets.DatasetInfo:
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            citation=_CITATION,
+            homepage=_ORIGIN,
+            license="",
+        )
+    
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": "train.csv"}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": "test.csv"}),
+        ]
+    
+    def _generate_examples(self, filepath):
+        with open(filepath, "r") as f:
+            next(f)
+            for key, row in enumerate(f):
+                yield key, {"data": row[:-1], "label": row[-1]}

test.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5ecf51dd6996f85cd6005cfa38974b81d7ba4b84268a0788a923e8cfa026076
+size 30974

train.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3fbd9270a5810db44ac93ffed35107e6d2c71e046fb03c472d591244fd0de073
+size 92141