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import datasets
import pandas as pd
_CITATION = """\
@InProceedings{huggingface:dataset,
title = {monitors-replay-attacks-dataset},
author = {TrainingDataPro},
year = {2023}
}
"""
_DESCRIPTION = """\
The dataset consists of videos of replay attacks played on different models of
computers. 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 = 'monitors-replay-attacks-dataset'
_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 MonitorsReplayAttacksDataset(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(description=_DESCRIPTION,
features=datasets.Features({
'file': datasets.Value('string'),
'phone': datasets.Value('string'),
'computer': datasets.Value('string'),
'gender': datasets.Value('string'),
'age': datasets.Value('int16'),
'country': datasets.Value('string'),
}),
supervised_keys=None,
homepage=_HOMEPAGE,
citation=_CITATION,
license=_LICENSE)
def _split_generators(self, dl_manager):
attacks = dl_manager.download(f"{_DATA}attacks.tar.gz")
annotations = dl_manager.download(f"{_DATA}{_NAME}.csv")
attacks = dl_manager.iter_archive(attacks)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN,
gen_kwargs={
"attacks": attacks,
'annotations': annotations
}),
]
def _generate_examples(self, attacks, annotations):
annotations_df = pd.read_csv(annotations, sep=';')
for idx, (video_path, video) in enumerate(attacks):
yield idx, {
'file':
video_path,
'phone':
annotations_df.loc[annotations_df['file'].str.lower() ==
video_path.lower()]['phone'].values[0],
'computer':
annotations_df.loc[annotations_df['file'].str.lower() ==
video_path.lower()]
['computer'].values[0],
'gender':
annotations_df.loc[annotations_df['file'].str.lower() ==
video_path.lower()]['gender'].values[0],
'age':
annotations_df.loc[annotations_df['file'].str.lower() ==
video_path.lower()]['age'].values[0],
'country':
annotations_df.loc[annotations_df['file'].str.lower() ==
video_path.lower()]['country'].values[0]
}
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