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GoogleDataSafety

Data used in the papers:


Getting Started

In this dataset you have the following data:

  1. App Privacy Policies
  2. Data Safety Sections Labels

The data is collected from the apps in Google Play Store over the period of 2022-2023.


1. Code Structure

β”œβ”€β”€ raw_policies/
β”‚   β”œβ”€β”€ policy_raw_0.zip
β”‚   β”œβ”€β”€ policy_raw_100000.zip
β”‚   β”œβ”€β”€ policy_raw_200000.zip
β”‚   β”œβ”€β”€ policy_raw_300000.zip
β”‚   └── ...
β”œβ”€β”€ data_safety_sections/
β”‚   β”œβ”€β”€ 05_30/
β”‚   β”œβ”€β”€ 06_20/
β”‚   β”œβ”€β”€ 06_28/
β”‚   β”œβ”€β”€ 07_01/
β”‚   └── ...

2. Using Privacy Policy Data

Unzip the zip file and you will see the following structure:

β”œβ”€β”€ policy_raw_0/
β”‚   β”œβ”€β”€ <app_id>
β”‚   β”‚   β”œβ”€β”€ <privacy_policy_timestamp>.txt  # Raw HTML of the privacy policy
β”‚   β”‚   └── site.txt                        # URL of the privacy policy
β”‚   └── ...

3. Loading DSS Label Data

import pandas as pd

# Load the data
# !pip install pyarrow

data = pd.read_parquet('data_safety_sections/05_30/all_data_05_30.brotli')

Contact

For any questions or feedback, feel free to contact Asmit Nayak and Rishabh Khandelwal.

Citation

If you find this dataset useful in your research or applications, please kindly cite:

@inproceedings {google_data_safety_section,
author = {Rishabh Khandelwal and Asmit Nayak and Paul Chung and Kassem Fawaz},
title = {Unpacking Privacy Labels: A Measurement and Developer Perspective on Google's Data Safety Section},
booktitle = {33rd USENIX Security Symposium (USENIX Security 24)},
year = {2024},
address = {Philadelphia, PA},
url = {https://www.usenix.org/conference/usenixsecurity24/presentation/khandelwal},
publisher = {USENIX Association},
month = aug
}
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