refactor: all data

.gitattributes

@@ -82,3 +82,4 @@ img/0001fffbd2--63329806626295715caa9f89/replay_video.mp4 filter=lfs diff=lfs me
 img/0001fffbd2--633bddecfc74d91be0d4f30f/replay_video.MOV filter=lfs diff=lfs merge=lfs -text
 img/0001fffbd2--633c46dd38f9495ed344be8d/replay_video.mp4 filter=lfs diff=lfs merge=lfs -text
 img/0001fffbd2--63792b6b19c2d72a00bf9afa/replay_video.mp4 filter=lfs diff=lfs merge=lfs -text
+data filter=lfs diff=lfs merge=lfs -text

anti-spoofing_replay.py

@@ -0,0 +1,87 @@
+import datasets
+import pandas as pd
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {anti-spoofing_replay},
+author = {TrainingDataPro},
+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.
+"""
+_NAME = 'anti-spoofing_replay'
+
+_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
+
+_LICENSE = "cc-by-nc-nd-4.0"
+
+_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
+
+
+class AntiSpoofingReplay(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                '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')
+            }),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+            license=_LICENSE)
+
+    def _split_generators(self, dl_manager):
+        videos = dl_manager.download(f"{_DATA}videos.tar.gz")
+        annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
+        videos = dl_manager.iter_archive(videos)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN,
+                                    gen_kwargs={
+                                        "videos": videos,
+                                        'annotations': annotations
+                                    }),
+        ]
+
+    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]
+
+            yield idx, {
+                "video_file":
+                    file_name,
+                'assignment_id':
+                    assignment_id,
+                '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]
+            }

img/0001ffba3c--6287e2f608ea00759b5c156e/replay_video.mp4 → data/videos.tar.gz

@@ -1,3 +1,3 @@
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-size 29895291
+oid sha256:a84ba26ca6363b193388e19f7ecb83790d901095c8dc5a13728d73050107953b
+size 735623363

img/0001ffba3c--62880080572a894c5df8f427/replay_video.mp4

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img/0001ffba3c--62887f049bdab7061555fd99/replay_video.mp4

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img/0001ffba3c--6288bb0ae5f8af70ce83a28a/replay_video.mp4

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img/0001ffba3c--6289196875a5cf63cd0cb302/replay_video.mp4

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img/0001ffba3c--628a50ad08ea00759b6e5f8b/replay_video.mp4

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img/0001ffba3c--628a68b5180bc205cf8704d2/replay_video.mp4

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img/0001ffba3c--628c9dbb2579312f1ac7ee6f/replay_video.mp4

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img/0001ffba3c--628cc2211b4d6738e8ba8f01/replay_video.mp4

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