refactor: all data

.gitattributes

@@ -62,3 +62,4 @@ live_videos/0001d815c0--61f82a2956ef241fa1f94ff0.mp4 filter=lfs diff=lfs merge=l
 live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4 filter=lfs diff=lfs merge=lfs -text
 live_videos/0001d815c0--620984e9f002b8749797ec67.mp4 filter=lfs diff=lfs merge=lfs -text
 live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4 filter=lfs diff=lfs merge=lfs -text
+data filter=lfs diff=lfs merge=lfs -text

live_videos/0001d815c0--61dd5f24a14d0d2b3b211c83.mp4 → data/videos.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13bb75305d9c14800a9d2fd639e767cd529058909f3e11833762d01f772a5509
-size 65447112
+oid sha256:f6fe0dfdf56eeb5aad7ca23c3240974c2c18d1fae83d3dcc37bc7fe558d16e5d
+size 623355125

high_quality_webcam_video_attacks.py

@@ -0,0 +1,88 @@
+import datasets
+import pandas as pd
+
+_CITATION = """\
+@InProceedings{huggingface:dataset,
+title = {high_quality_webcam_video_attacks},
+author = {TrainingDataPro},
+year = {2023}
+}
+"""
+
+_DESCRIPTION = """\
+The dataset is primarly intended to dentify and predict the positions of major
+joints of a human body in an image. It consists of people's photographs with
+body part labeled with keypoints.
+"""
+_NAME = 'high_quality_webcam_video_attacks'
+
+_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 HighQualityWebcamVideoAttacks(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]
+            }

live_videos/0001d815c0--61de4edf6292055ac305e885.mp4

@@ -1,3 +0,0 @@
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-size 30703676

live_videos/0001d815c0--61e28d132e6cac25f79a3346.MOV

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-size 54247784

live_videos/0001d815c0--61ece94de8e9ba2b3bc01c59.mkv

@@ -1,3 +0,0 @@
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-size 25606758

live_videos/0001d815c0--61f276f01c8b5c57e89244a1.mp4

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live_videos/0001d815c0--61f5617b66629e059dbeaef5.webm

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-size 27138944

live_videos/0001d815c0--61f82a2956ef241fa1f94ff0.mp4

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-size 67986366

live_videos/0001d815c0--6203fa2ad1a403449593c5cb.mp4

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-size 26046279

live_videos/0001d815c0--620984e9f002b8749797ec67.mp4

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-size 209650613

live_videos/0001db3fa7--61e8f5380569a62870798ef9.mp4

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