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import datasets
import pandas as pd
_CITATION = """\
@InProceedings{huggingface:dataset,
title = {anti-spoofing_Live},
author = {TrainingDataPro},
year = {2023}
}
"""
_DESCRIPTION = """\
The dataset consists of 40,000 videos and selfies with unique people.
15,000 attack replays from 4,000 unique devices.
"""
_NAME = 'anti-spoofing_Live'
_HOMEPAGE = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}"
_LICENSE = ""
_DATA = f"https://huggingface.co/datasets/TrainingDataPro/{_NAME}/resolve/main/data/"
class AntiSpoofingLive(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
'phone': datasets.Value('string'),
'selfie': datasets.Image(),
'video': 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):
data = dl_manager.download(f"{_DATA}data.tar.gz")
annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
data = dl_manager.iter_archive(data)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN,
gen_kwargs={
"data": data,
'annotations': annotations
}),
]
def _generate_examples(self, data, annotations):
annotations_df = pd.read_csv(annotations, sep=';')
for idx, (image_path, image) in enumerate(data):
if image_path.endswith('.jpg'):
yield idx, {
'phone':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['phone'].values[0],
'selfie': {
'path': image_path,
'bytes': image.read()
},
'video':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['video_link'].values[0],
'worker_id':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['worker_id'].values[0],
'age':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['age'].values[0],
'country':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['country'].values[0],
'gender':
annotations_df.loc[
annotations_df['selfie_link'] == image_path]
['gender'].values[0],
}
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