Update renovation.py

renovation.py

@@ -28,6 +28,8 @@ _NAMES = ["cheap", "average", "expensive"]
 class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
     """Renovation Quality Dataset."""
 
+    VERSION = datasets.Version("1.0.0")
+
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -50,15 +52,38 @@ class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "filepath": csv_path,
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": csv_path,
+                    "split": "validation",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": csv_path,
+                    "split": "test",
                 },
             ),
         ]
 
-    def _generate_examples(self, filepath):
+    def _generate_examples(self, filepath, split):
         with open(filepath, "r") as f:
             reader = csv.reader(f)
             next(reader)  # skip header
-            for id_, row in enumerate(reader):
+            rows = list(reader)
+            if split == 'train':
+                rows = rows[:int(0.8 * len(rows))]
+            elif split == 'validation':
+                rows = rows[int(0.8 * len(rows)):int(0.9 * len(rows))]
+            else: # test
+                rows = rows[int(0.9 * len(rows)):]
+
+            for id_, row in enumerate(rows):
                 yield id_, {
                     'image': row[0],
                     'label': row[1],