fix: script

data/presentation-attack-detection-2d-dataset.csv

@@ -1,15 +1,15 @@
-set_id,worker_id,age,gender,country
-000269e00f--64c8d84d089f4e44f6481bb0,87284a341d43afbbdab0e50ca251d0a4,29,MALE,TR
-000269e00f--64c8f4db4a10835184c95641,be29b530751176898fc789fd05a9c7f5,31,FEMALE,RU
-000269e00f--64c8f55c64b09d4014084391,44617ee2c5d73df66092a16d5f31cc01,31,MALE,RU
-000269e00f--64c9cbf134a9be2301431749,a584def9dac1981eab24fe5f49d14f41,20,FEMALE,RU
-000269e00f--64ca0aa684be481f7568360f,bd3d36b02696f6306ebbe24470e39360,33,NULL,KZ
-000269e00f--64ca72f2c38b125fffa93c6e,22b51caa31b5cbb85543724dd638161b,33,MALE,RU
-000269e00f--64caa8acb4858c670df55582,333563ad329ed488f987582afe1a08d8,23,FEMALE,RU
-000269e00f--64cb61c13dc862273921414f,2bc6b8bf0f8b96b5ca977264e23309c4,18,NULL,RU
-000269e00f--64cbccc402343312e74eccfb,666df1bb2ab0bbb8eadb2f56c139494a,44,FEMALE,RU
-000269e00f--64cce2f9747ca45dad369280,8a1401b507e0cd65b4d42d7dd71a64a2,38,FEMALE,RU
-000269e00f--64ce34be591a914f7a454dae,36277a2ea9a122d816b1b1b3e2eaa178,21,MALE,RU
-000269e00f--64cf6c2ca3e04150ef4c19c2,450ce6a2a97424d4ecae0e95df862ba5,23,FEMALE,RU
-000269e00f--64d1d284038f0820fecdab8b,81338ba7fc06c99471d04f99c4ee7740,38,MALE,RU
-000269e00f--64d25998571de06b0eecc774,08ac2144aacba85a377efedb9875b1c9,28,FEMALE,RU
+video,set_id,worker_id,age,gender,country
+000269e00f--64c8d84d089f4e44f6481bb0/3.mp4,000269e00f--64c8d84d089f4e44f6481bb0,87284a341d43afbbdab0e50ca251d0a4,29,MALE,TR
+000269e00f--64c8f4db4a10835184c95641/3.mp4,be29b530751176898fc789fd05a9c7f5,31,FEMALE,RU
+000269e00f--64c8f55c64b09d4014084391/3.mp4,44617ee2c5d73df66092a16d5f31cc01,31,MALE,RU
+000269e00f--64c9cbf134a9be2301431749/3.mp4,a584def9dac1981eab24fe5f49d14f41,20,FEMALE,RU
+000269e00f--64ca0aa684be481f7568360f/3.MOV,bd3d36b02696f6306ebbe24470e39360,33,NULL,KZ
+000269e00f--64ca72f2c38b125fffa93c6e/3.mp4,22b51caa31b5cbb85543724dd638161b,33,MALE,RU
+000269e00f--64caa8acb4858c670df55582/3.mp4,333563ad329ed488f987582afe1a08d8,23,FEMALE,RU
+000269e00f--64cb61c13dc862273921414f/3.mp4,2bc6b8bf0f8b96b5ca977264e23309c4,18,NULL,RU
+000269e00f--64cbccc402343312e74eccfb/3.mp4,666df1bb2ab0bbb8eadb2f56c139494a,44,FEMALE,RU
+000269e00f--64cce2f9747ca45dad369280/3.mp4,8a1401b507e0cd65b4d42d7dd71a64a2,38,FEMALE,RU
+000269e00f--64ce34be591a914f7a454dae/3.mp4,36277a2ea9a122d816b1b1b3e2eaa178,21,MALE,RU
+000269e00f--64cf6c2ca3e04150ef4c19c2/3.MOV,450ce6a2a97424d4ecae0e95df862ba5,23,FEMALE,RU
+000269e00f--64d1d284038f0820fecdab8b/3.mp4,81338ba7fc06c99471d04f99c4ee7740,38,MALE,RU
+000269e00f--64d25998571de06b0eecc774/3.mp4,08ac2144aacba85a377efedb9875b1c9,28,FEMALE,RU

presentation-attack-detection-2d-dataset.py

@@ -1,4 +1,4 @@
-from itertools import pairwise
+from itertools import count
 
 import datasets
 import pandas as pd
@@ -59,25 +59,26 @@ class PresentationAttackDetection2dDataset(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, attacks, annotations):
         annotations_df = pd.read_csv(annotations, sep=",")
-        for idx, ((image_path, image), (video_path, video)) in enumerate(
-            pairwise(attacks)
-        ):
-            yield idx, {
-                "photo": {"path": image_path, "bytes": image.read()},
-                "video": video_path,
-                "worker_id": annotations_df.loc[
-                    annotations_df["worker_id"] == image_path.split("/")[-2]
-                ]["worker_id"].values[0],
-                "set_id": annotations_df.loc[
-                    annotations_df["worker_id"] == image_path.split("/")[-2]
-                ]["set_id"].values[0],
-                "age": annotations_df.loc[
-                    annotations_df["worker_id"] == image_path.split("/")[-2]
-                ]["age"].values[0],
-                "country": annotations_df.loc[
-                    annotations_df["worker_id"] == image_path.split("/")[-2]
-                ]["country"].values[0],
-                "gender": annotations_df.loc[
-                    annotations_df["worker_id"] == image_path.split("/")[-2]
-                ]["gender"].values[0],
-            }
+        for idx, (image_path, image) in enumerate(attacks):
+            if image_path.endswith('jpg'):
+                yield idx, {
+                    "photo": {"path": image_path, "bytes": image},
+                    "video": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["video"].values[0],
+                    "worker_id": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["worker_id"].values[0],
+                    "set_id": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["set_id"].values[0],
+                    "age": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["age"].values[0],
+                    "country": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["country"].values[0],
+                    "gender": annotations_df.loc[
+                        annotations_df["set_id"].where(lambda x: x in image_path)
+                    ]["gender"].values[0],
+                }