Update renovation.py

renovation.py

@@ -6,6 +6,7 @@ from io import BytesIO
 from datasets.tasks import ImageClassification
 import pyarrow as pa
 
+
 _HOMEPAGE = "https://huggingface.co/datasets/rshrott/renovation"
 
 _CITATION = """\
@@ -36,6 +37,7 @@ class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
+                    "image_file_path": datasets.Value("string"),
                     "image": datasets.Value(pa.binary()),
                     "label": datasets.features.ClassLabel(names=_NAMES),
                 }
@@ -77,7 +79,7 @@ class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
             response = requests.get(url)
             img = Image.open(BytesIO(response.content))
             return img
-    
+
         with open(filepath, "r") as f:
             reader = csv.reader(f)
             next(reader)  # skip header
@@ -86,9 +88,9 @@ class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
                 rows = rows[:int(0.8 * len(rows))]
             elif split == 'validation':
                 rows = rows[int(0.8 * len(rows)):int(0.9 * len(rows))]
-            else: # test
+            else:  # test
                 rows = rows[int(0.9 * len(rows)):]
-    
+
             for id_, row in enumerate(rows):
                 if len(row) < 2:
                     print(f"Row with id {id_} has less than 2 elements: {row}")
@@ -96,8 +98,7 @@ class RenovationQualityDataset(datasets.GeneratorBasedBuilder):
                     image = url_to_image(row[0])
                     image_bytes = image.tobytes()
                     yield id_, {
-                        'image_file_path': str(row[0]),  # Convert to string
+                        'image_file_path': row[0],
                         'image': image_bytes,
                         'label': row[1],
                     }
-