fix: bug with names

data/portrait_and_26_photos.csv

@@ -90,7 +90,7 @@ WorkerId,Age,Country,Gender,Type,Link
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_7,06421a0f6347119bd7c73631e4888bbe/photo_7.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_8,06421a0f6347119bd7c73631e4888bbe/photo_8.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_9,06421a0f6347119bd7c73631e4888bbe/photo_9.jpg
-06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_10,06421a0f6347119bd7c73631e4888bbe/photo_10.heic
+06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_10,06421a0f6347119bd7c73631e4888bbe/photo_10.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_11,06421a0f6347119bd7c73631e4888bbe/photo_11.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_12,06421a0f6347119bd7c73631e4888bbe/photo_12.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_13,06421a0f6347119bd7c73631e4888bbe/photo_13.jpg
@@ -102,8 +102,8 @@ WorkerId,Age,Country,Gender,Type,Link
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_19,06421a0f6347119bd7c73631e4888bbe/photo_19.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_20,06421a0f6347119bd7c73631e4888bbe/photo_20.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_21,06421a0f6347119bd7c73631e4888bbe/photo_21.jpg
-06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_22,06421a0f6347119bd7c73631e4888bbe/photo_22.heic
-06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_23,06421a0f6347119bd7c73631e4888bbe/photo_23.heic
+06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_22,06421a0f6347119bd7c73631e4888bbe/photo_22.jpg
+06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_23,06421a0f6347119bd7c73631e4888bbe/photo_23.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_24,06421a0f6347119bd7c73631e4888bbe/photo_24.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_25,06421a0f6347119bd7c73631e4888bbe/photo_25.jpg
 06421a0f6347119bd7c73631e4888bbe,20,IN,MALE,photo_26,06421a0f6347119bd7c73631e4888bbe/photo_26.jpg
@@ -297,16 +297,16 @@ WorkerId,Age,Country,Gender,Type,Link
 0ff4d24098b3110ecfc0a7198e080a4b,24,BY,FEMALE,photo_25,0ff4d24098b3110ecfc0a7198e080a4b/photo_25.jpg
 0ff4d24098b3110ecfc0a7198e080a4b,24,BY,FEMALE,photo_26,0ff4d24098b3110ecfc0a7198e080a4b/photo_26.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,portrait_1,1067911ca113c7980cd12b5b3ea4af54/portrait_1.jpg
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_1,1067911ca113c7980cd12b5b3ea4af54/photo_1.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_2,1067911ca113c7980cd12b5b3ea4af54/photo_2.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_3,1067911ca113c7980cd12b5b3ea4af54/photo_3.webp
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_1,1067911ca113c7980cd12b5b3ea4af54/photo_1.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_2,1067911ca113c7980cd12b5b3ea4af54/photo_2.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_3,1067911ca113c7980cd12b5b3ea4af54/photo_3.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_4,1067911ca113c7980cd12b5b3ea4af54/photo_4.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_5,1067911ca113c7980cd12b5b3ea4af54/photo_5.jpg
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_6,1067911ca113c7980cd12b5b3ea4af54/photo_6.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_7,1067911ca113c7980cd12b5b3ea4af54/photo_7.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_8,1067911ca113c7980cd12b5b3ea4af54/photo_8.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_9,1067911ca113c7980cd12b5b3ea4af54/photo_9.webp
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_10,1067911ca113c7980cd12b5b3ea4af54/photo_10.webp
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_6,1067911ca113c7980cd12b5b3ea4af54/photo_6.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_7,1067911ca113c7980cd12b5b3ea4af54/photo_7.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_8,1067911ca113c7980cd12b5b3ea4af54/photo_8.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_9,1067911ca113c7980cd12b5b3ea4af54/photo_9.jpg
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_10,1067911ca113c7980cd12b5b3ea4af54/photo_10.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_11,1067911ca113c7980cd12b5b3ea4af54/photo_11.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_12,1067911ca113c7980cd12b5b3ea4af54/photo_12.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_13,1067911ca113c7980cd12b5b3ea4af54/photo_13.jpg
@@ -317,12 +317,12 @@ WorkerId,Age,Country,Gender,Type,Link
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_18,1067911ca113c7980cd12b5b3ea4af54/photo_18.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_19,1067911ca113c7980cd12b5b3ea4af54/photo_19.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_20,1067911ca113c7980cd12b5b3ea4af54/photo_20.jpg
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_21,1067911ca113c7980cd12b5b3ea4af54/photo_21.webp
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_21,1067911ca113c7980cd12b5b3ea4af54/photo_21.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_22,1067911ca113c7980cd12b5b3ea4af54/photo_22.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_23,1067911ca113c7980cd12b5b3ea4af54/photo_23.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_24,1067911ca113c7980cd12b5b3ea4af54/photo_24.jpg
 1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_25,1067911ca113c7980cd12b5b3ea4af54/photo_25.jpg
-1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_26,1067911ca113c7980cd12b5b3ea4af54/photo_26.webp
+1067911ca113c7980cd12b5b3ea4af54,35,PH,FEMALE,photo_26,1067911ca113c7980cd12b5b3ea4af54/photo_26.jpg
 10b32095dd911e24bfc46d2c4e23b5aa,28,NP,MALE,portrait_1,10b32095dd911e24bfc46d2c4e23b5aa/portrait_1.jpg
 10b32095dd911e24bfc46d2c4e23b5aa,28,NP,MALE,photo_1,10b32095dd911e24bfc46d2c4e23b5aa/photo_1.jpg
 10b32095dd911e24bfc46d2c4e23b5aa,28,NP,MALE,photo_2,10b32095dd911e24bfc46d2c4e23b5aa/photo_2.jpg

portrait_and_26_photos.py

@@ -35,30 +35,30 @@ class PortraitAnd26Photos(datasets.GeneratorBasedBuilder):
                 'portrait_1': datasets.Image(),
                 'photo_1': datasets.Image(),
                 'photo_2': datasets.Image(),
-                # 'photo_3': datasets.Image(),
-                # 'photo_4': datasets.Image(),
-                # 'photo_5': datasets.Image(),
-                # 'photo_6': datasets.Image(),
-                # 'photo_7': datasets.Image(),
-                # 'photo_8': datasets.Image(),
-                # 'photo_9': datasets.Image(),
-                # 'photo_10': datasets.Image(),
-                # 'photo_11': datasets.Image(),
-                # 'photo_12': datasets.Image(),
-                # 'photo_13': datasets.Image(),
-                # 'photo_14': datasets.Image(),
-                # 'photo_15': datasets.Image(),
-                # 'photo_16': datasets.Image(),
-                # 'photo_17': datasets.Image(),
-                # 'photo_18': datasets.Image(),
-                # 'photo_19': datasets.Image(),
-                # 'photo_20': datasets.Image(),
-                # 'photo_21': datasets.Image(),
-                # 'photo_22': datasets.Image(),
-                # 'photo_23': datasets.Image(),
-                # 'photo_24': datasets.Image(),
-                # 'photo_25': datasets.Image(),
-                # 'photo_26': datasets.Image(),
+                'photo_3': datasets.Image(),
+                'photo_4': datasets.Image(),
+                'photo_5': datasets.Image(),
+                'photo_6': datasets.Image(),
+                'photo_7': datasets.Image(),
+                'photo_8': datasets.Image(),
+                'photo_9': datasets.Image(),
+                'photo_10': datasets.Image(),
+                'photo_11': datasets.Image(),
+                'photo_12': datasets.Image(),
+                'photo_13': datasets.Image(),
+                'photo_14': datasets.Image(),
+                'photo_15': datasets.Image(),
+                'photo_16': datasets.Image(),
+                'photo_17': datasets.Image(),
+                'photo_18': datasets.Image(),
+                'photo_19': datasets.Image(),
+                'photo_20': datasets.Image(),
+                'photo_21': datasets.Image(),
+                'photo_22': datasets.Image(),
+                'photo_23': datasets.Image(),
+                'photo_24': datasets.Image(),
+                'photo_25': datasets.Image(),
+                'photo_26': datasets.Image(),
                 'worker_id': datasets.Value('string'),
                 'age': datasets.Value('int8'),
                 'country': datasets.Value('string'),
@@ -96,9 +96,7 @@ class PortraitAnd26Photos(datasets.GeneratorBasedBuilder):
                 row[5]: {
                     'path': row[6],
                     'bytes': row[7]
-                }
-                for row in annotation.itertuples()
-                if row[5] in ['portrait_1', 'photo_1', 'photo_2']
+                } for row in annotation.itertuples()
             }
 
             age = annotation.loc[annotation['Type'] ==