feat: upload script docs: readme

README.md

@@ -8,6 +8,24 @@ tags:
 - finance
 - legal
 - code
+dataset_info:
+  features:
+  - name: live_video_id
+    dtype: string
+  - name: phone
+    dtype: string
+  - name: video_file
+    dtype: string
+  - name: phone_video_playback
+    dtype: string
+  - name: worker_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 5063
+    num_examples: 30
+  download_size: 735628032
+  dataset_size: 5063
 ---
 
 # Anti-Spoofing dataset: replay

anti-spoofing_replay.py

@@ -10,8 +10,9 @@ year = {2023}
 """
 
 _DESCRIPTION = """\
-The dataset includes live-recorded Anti-Spoofing videos from around the world,
-captured via low-quality webcams with resolutions like QVGA, QQVGA and QCIF.
+The dataset consists of 40,000 videos and selfies with unique people. 15,000
+attack replays from 4,000 unique devices. 10,000 attacks with A4 printouts and
+10,000 attacks with cut-out printouts.
 """
 _NAME = 'anti-spoofing_replay'
 
@@ -28,13 +29,11 @@ class AntiSpoofingReplay(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features({
+                'live_video_id': datasets.Value('string'),
+                'phone': datasets.Value('string'),
                 'video_file': datasets.Value('string'),
-                'assignment_id': datasets.Value('string'),
-                'worker_id': datasets.Value('string'),
-                'gender': datasets.Value('string'),
-                'age': datasets.Value('uint8'),
-                'country': datasets.Value('string'),
-                'resolution': datasets.Value('string')
+                'phone_video_playback': datasets.Value('string'),
+                'worker_id': datasets.Value('string')
             }),
             supervised_keys=None,
             homepage=_HOMEPAGE,
@@ -55,33 +54,22 @@ class AntiSpoofingReplay(datasets.GeneratorBasedBuilder):
 
     def _generate_examples(self, videos, annotations):
         annotations_df = pd.read_csv(annotations, sep=';')
-        for idx, (image_path, video) in enumerate(videos):
-            file_name = image_path.split('/')[-1]
-            assignment_id = file_name.split('.')[0]
+        for idx, (video_path, video) in enumerate(videos):
+            file_name = '/'.join(video_path.split('/')[-2:])
 
             yield idx, {
-                "video_file":
-                    file_name,
-                'assignment_id':
-                    assignment_id,
+                'live_video_id':
+                    annotations_df.loc[annotations_df['link'] == file_name]
+                    ['live_video_id'].values[0],
+                'phone':
+                    annotations_df.loc[annotations_df['link'] == file_name]
+                    ['phone'].values[0],
+                'video_file':
+                    video_path,
+                'phone_video_playback':
+                    annotations_df.loc[annotations_df['link'] == file_name]
+                    ['phone_video_playback'].values[0],
                 'worker_id':
-                    annotations_df.loc[
-                        annotations_df['assignment_id'] == assignment_id]
-                    ['worker_id'].values[0],
-                'gender':
-                    annotations_df.loc[
-                        annotations_df['assignment_id'] == assignment_id]
-                    ['gender'].values[0],
-                'age':
-                    annotations_df.loc[
-                        annotations_df['assignment_id'] == assignment_id]
-                    ['age'].values[0],
-                'country':
-                    annotations_df.loc[
-                        annotations_df['assignment_id'] == assignment_id]
-                    ['country'].values[0],
-                'resolution':
-                    annotations_df.loc[
-                        annotations_df['assignment_id'] == assignment_id]
-                    ['resolution'].values[0]
+                    annotations_df.loc[annotations_df['link'] == file_name]
+                    ['worker_id'].values[0]
             }