fix: file_name in script docs: readme

MacBook-Attacks-Dataset.py

@@ -10,9 +10,12 @@ year = {2023}
 """
 
 _DESCRIPTION = """\
-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.
+The dataset consists of videos of replay attacks played on different
+models of MacBooks. The dataset solves tasks in the field of anti-spoofing and
+it is useful for buisness and safety systems.
+
+The dataset includes: **replay attacks** - videos of real people played on
+a computer and filmed on the phone.
 """
 _NAME = 'MacBook-Attacks-Dataset'
 
@@ -55,29 +58,29 @@ class MacBookAttacksDataset(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, attacks, annotations):
         annotations_df = pd.read_csv(annotations, sep=';')
         for idx, (video_path, video) in enumerate(attacks):
-            file_name = '/'.join(video_path.split('/')[-2:])
+            # file_name = '/'.join(video_path.split('/')[-2:])
 
             yield idx, {
                 'file':
-                    file_name,
+                    video_path,
                 'phone':
                     annotations_df.loc[
-                        annotations_df['file'].str.lower() == file_name]
+                        annotations_df['file'] == video_path.lower()]
                     ['phone'].values[0],
                 'computer':
                     annotations_df.loc[
-                        annotations_df['file'].str.lower() == file_name]
+                        annotations_df['file'] == video_path.lower()]
                     ['computer'].values[0],
                 'gender':
                     annotations_df.loc[
-                        annotations_df['file'].str.lower() == file_name]
+                        annotations_df['file'] == video_path.lower()]
                     ['gender'].values[0],
                 'age':
                     annotations_df.loc[
-                        annotations_df['file'].str.lower() == file_name]
+                        annotations_df['file'] == video_path.lower()]
                     ['age'].values[0],
                 'country':
                     annotations_df.loc[
-                        annotations_df['file'].str.lower() == file_name]
+                        annotations_df['file'] == video_path.lower()]
                     ['country'].values[0]
             }

README.md

@@ -6,6 +6,26 @@ language:
 - en
 tags:
 - finance
+dataset_info:
+  features:
+  - name: file
+    dtype: string
+  - name: phone
+    dtype: string
+  - name: computer
+    dtype: string
+  - name: gender
+    dtype: string
+  - name: age
+    dtype: int16
+  - name: country
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1418
+    num_examples: 24
+  download_size: 573934283
+  dataset_size: 1418
 ---
 
 # Antispoofing Replay Dataset