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],