Create renovation.py

renovation.py

@@ -0,0 +1,65 @@
+import os
+import csv
+
+import datasets
+from datasets.tasks import ImageClassification
+
+
+_HOMEPAGE = "https://huggingface.co/datasets/rshrott/renovation"
+
+_CITATION = """\
+@ONLINE {renovationquality,
+    author="Your Name",
+    title="Renovation Quality Dataset",
+    month="Your Month",
+    year="Your Year",
+    url="https://huggingface.co/datasets/rshrott/renovation"
+}
+"""
+
+_DESCRIPTION = """\
+This dataset contains images of various properties, along with labels indicating the quality of renovation - 'cheap', 'average', 'expensive'.
+"""
+
+_URL = "https://huggingface.co/datasets/rshrott/renovation/blob/main/labels.csv"
+
+_NAMES = ["cheap", "average", "expensive"]
+
+class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
+    """Renovation Quality Dataset."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image": datasets.Value("string"),
+                    "label": datasets.features.ClassLabel(names=_NAMES),
+                }
+            ),
+            supervised_keys=("image", "label"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            task_templates=[ImageClassification(image_column="image", label_column="label")],
+        )
+
+    def _split_generators(self, dl_manager):
+        csv_path = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": csv_path,
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, "r") as f:
+            reader = csv.reader(f)
+            next(reader)  # skip header
+            for id_, row in enumerate(reader):
+                yield id_, {
+                    'image': row[0],
+                    'label': row[1],
+                }