Cookiescanner Dataset

This upload contains the dataset from the paper "Cookiescanner: An Automated Tool for Detecting and Evaluating GDPR Consent Notices on Websites" presented at ARES 2023.<br> <br> <strong>Folder Structure</strong><br> - <strong>01_bert_classifier</strong>: The final BERT model as well as the datasets and Jupyter notebook to train/evaluate it. Additionally, the folder also contains a small flask application and a Docker file to deploy it as a web service.<br> - <strong>02_raw_dataset</strong>: The 1.000 sampled scans. The results.json contains the raw scan data, while the rest of the subfolders contain the screenshots of the detection methods.<br> - <strong>03_banner_detection</strong>: Contains the analysis CSV file, as well as a folder with the banner screenshots.<br> - <strong>04_dark_patterns</strong>: Analysis files as well as the screenshots of banners with the dark patterns from the paper. <strong>Source Code</strong><br> For the source code of the scanner, please refer to https://github.com/UBA-PSI/cookiescanner.