The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: KeyError
Message: 'phone;selfie_link;video_link;worker_id;age;country;gender;selfie_file_type;video_file_type'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 257, in get_rows_or_raise
return get_rows(
File "/src/services/worker/src/worker/utils.py", line 198, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 235, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1383, in __iter__
example = _apply_feature_types_on_example(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1075, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1852, in encode_example
return encode_nested_example(self, example)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1229, in encode_nested_example
{
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1229, in <dictcomp>
{
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 323, in zip_dict
yield key, tuple(d[key] for d in dicts)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py", line 323, in <genexpr>
yield key, tuple(d[key] for d in dicts)
KeyError: 'phone;selfie_link;video_link;worker_id;age;country;gender;selfie_file_type;video_file_type'Need help to make the dataset viewer work? Open a discussion for direct support.
Anti-Spoofing dataset: real
The dataset consists of 40,000 videos and selfies with unique people. 15,000 attack replays from 4,000 unique devices.
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.
File with the extension .csv
includes the following information for each media file:
- phone: the device used to capture the media files,
- selfie_link: the URL to access the photo
- video_link: the URL to access the video
- worker_id: the identifier of the person who provided the media file,
- age: the age of the person,
- country: the country of origin of the person,
- gender: the gender of the person,
- selfie_file_type: the type of the photo,
- video_file_type: the type of the video
Folder "img" with media files
- containg all the photos and videos
- which correspond to the data in the .csv file
How it works: go to the first folder and you will make sure that it contains media files taken by a person whose parameters are specified in the first line of the .csv file.
**TrainingData**
More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets
TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
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