Delete selfie_and_video.py

selfie_and_video.py

@@ -1,109 +0,0 @@
-import datasets
-import pandas as pd
-
-_CITATION = """\
-@InProceedings{huggingface:dataset,
-title = {selfie_and_video},
-author = {TrainingDataPro},
-year = {2023}
-}
-"""
-
-_DESCRIPTION = """\
-4000 people in this dataset. Each person took a selfie on a webcam,
-took a selfie on a mobile phone. In addition, people recorded video from
-the phone and from the webcam, on which they pronounced a given set of numbers.
-Includes folders corresponding to people in the dataset. Each folder includes
-8 files (4 images and 4 videos).
-"""
-_NAME = 'selfie_and_video'
-
-_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
-
-_LICENSE = ""
-
-_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
-
-
-class SelfieAndVideo(datasets.GeneratorBasedBuilder):
-    """Small sample of image-text pairs"""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                'photo_1': datasets.Image(),
-                'photo_2': datasets.Image(),
-                'video_3': datasets.Value('string'),
-                'video_4': datasets.Value('string'),
-                'photo_5': datasets.Image(),
-                'photo_6': datasets.Image(),
-                'video_7': datasets.Value('string'),
-                'video_8': datasets.Value('string'),
-                'set_id': datasets.Value('string'),
-                'worker_id': datasets.Value('string'),
-                'age': datasets.Value('int8'),
-                'country': datasets.Value('string'),
-                'gender': datasets.Value('string')
-            }),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        images = dl_manager.download(f"{_DATA}data.tar.gz")
-        annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
-        images = dl_manager.iter_archive(images)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN,
-                                    gen_kwargs={
-                                        "images": images,
-                                        'annotations': annotations
-                                    }),
-        ]
-
-    def _generate_examples(self, images, annotations):
-        annotations_df = pd.read_csv(annotations, sep=';')
-        images_data = pd.DataFrame(columns=['Link', 'Bytes'])
-        for idx, (image_path, image) in enumerate(images):
-            if image_path.lower().endswith('.jpg'):
-                images_data.loc[idx] = {
-                    'Link': image_path,
-                    'Bytes': image.read()
-                }
-
-        annotations_df = pd.merge(annotations_df,
-                                  images_data,
-                                  on=['Link'],
-                                  how='left')
-        
-        for idx, worker_id in enumerate(pd.unique(annotations_df['WorkerId'])):
-            annotation = annotations_df.loc[annotations_df['WorkerId'] ==
-                                            worker_id]
-            annotation = annotation.sort_values(['Link'])
-            data = {
-                (f'photo_{row[7][37]}' if row[7].lower().endswith('.jpg') else f'video_{row[7][37]}'):
-                    ({
-                        'path': row[7],
-                        'bytes': row[8]
-                    } if row[7].lower().endswith('.jpg') else row[7])
-                for row in annotation.itertuples()
-            }
-
-            age = annotation.loc[annotation['Link'].str.lower().str.endswith(
-                '1.jpg')]['Age'].values[0]
-            country = annotation.loc[annotation['Link'].str.lower().str.
-                                     endswith('1.jpg')]['Country'].values[0]
-            gender = annotation.loc[annotation['Link'].str.lower().str.
-                                    endswith('1.jpg')]['Gender'].values[0]
-            set_id = annotation.loc[annotation['Link'].str.lower().str.
-                                    endswith('1.jpg')]['SetId'].values[0]
-
-            data['worker_id'] = worker_id
-            data['age'] = age
-            data['country'] = country
-            data['gender'] = gender
-            data['set_id'] = set_id
-
-            yield idx, data