fix: images rotation

README.md

@@ -7,6 +7,30 @@ language:
 tags:
 - finance
 - code
+dataset_info:
+  features:
+  - name: photo_1
+    dtype: image
+  - name: photo_2
+    dtype: image
+  - name: photo_3
+    dtype: image
+  - name: photo_4
+    dtype: image
+  - name: worker_id
+    dtype: string
+  - name: age
+    dtype: int8
+  - name: country
+    dtype: string
+  - name: sex
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 341007536
+    num_examples: 10
+  download_size: 100871449
+  dataset_size: 341007536
 ---
 # Face Mask Detection
 Dataset includes 250 000 images, 4 types of mask worn on 28 000 unique faces. All images were collected using the Toloka.ai crowdsourcing service and validated by TrainingData.pro

face_masks.py

@@ -118,7 +118,7 @@ class FaceMasks(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, images, annotations):
         annotations_df = pd.read_csv(annotations, sep=',')
-        images_data = pd.DataFrame(columns=['Link', 'Image'])
+        images_data = pd.DataFrame(columns=['Link', 'Path'])
         for idx, image_path in enumerate(images):
             images_data.loc[idx] = {
                 'Link': '/'.join(image_path.split('/')[-2:]),
@@ -138,12 +138,12 @@ class FaceMasks(datasets.GeneratorBasedBuilder):
                 for row in annotation.itertuples()
             }
 
-            age = annotation.loc[annotation['Type'] == '1']['Age'].values[0]
+            age = annotation.loc[annotation['Type'] == 1]['Age'].values[0]
             country = annotation.loc[annotation['Type'] ==
-                                     '1']['Country'].values[0]
-            sex = annotation.loc[annotation['Type'] == '1']['Sex'].values[0]
+                                     1]['Country'].values[0]
+            sex = annotation.loc[annotation['Type'] == 1]['Sex'].values[0]
 
-            data['user_id'] = worker_id
+            data['worker_id'] = worker_id
             data['age'] = age
             data['country'] = country
             data['sex'] = sex