docs: readme

portrait_and_26_photos.py

@@ -10,9 +10,9 @@ year = {2023}
 """
 
 _DESCRIPTION = """\
-An example of a dataset that we've collected for a photo edit App.
-The dataset includes 20 selfies of people (man and women)
-in segmentation masks and their visualisations.
+Each set includes 27 photos of people. Each person provided
+two types of photos: one photo in profile (portrait_1),
+and 26 photos from their life (photo_1, photo_2, …, photo_26).
 """
 _NAME = 'portrait_and_26_photos'
 
@@ -108,4 +108,5 @@ class PortraitAnd26Photos(datasets.GeneratorBasedBuilder):
             data['age'] = age
             data['country'] = country
             data['gender'] = gender
+
             yield idx, data