Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found printed-2d-masks-with-holes-for-eyes-attacks.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found printed-2d-masks-with-holes-for-eyes-attacks.py

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Printed 2D Masks with Holes for Eyes Attacks Dataset

The dataset consists of selfies of people and videos of them wearing a printed 2d mask with their face. The dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.

The dataset includes: attacks - videos of people wearing printed portraits of themselves with cut-out eyes.

The dataset includes 2 different types of files:

Photo - a selfie of a person from a mobile phone, the person is depicted alone on it, the face is clearly visible.
Video - filmed on the front camera, on which a person moves his/her head left, right, up and down. Duration of the video is from 10 to 20 seconds. On the video, a person is wearing a printed 2d mask made from the corresponding photo from the "photo" folder.

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Content

File with the extension .csv

includes the following information for each media file:

photo: link to access the photo,
attack: link to access the attack video,
phone: the device used to capture the replay video,
computer: the device used to play the video,
gender: gender of a person in the video,
age: age of the person in the video,
country: country of the person

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keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, cut prints spoof attack

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