Published April 24, 2026
| Version v6
Dataset
Open
Webis Generated Native Ads 2025
Authors/Creators
-
1.
Leipzig University
- 2. Friedrich-Schiller-Universität Jena
-
3.
University of Kassel
- 4. hessian.AI
- 5. ScaDS.AI
Description
Dataset Summary
This dataset was created to train ad blocking systems on the task of identifying advertisements in the responses of large language models (LLMs) and search engines that use retrieval-augmented generation (RAG). It is the successor of the Webis Generated Native Ads 2024 dataset.
Citation
@misc{heineking:2025,
author = {Sebastian Heineking and Ines Zelch and Wilhelm Pertsch and Christian Deubel and Matthias Hagen and Martin Potthast},
title = {{Webis Generated Native Ads 2025}},
doi = {10.5281/zenodo.16941607},
year = 2025
}
Files
README.md
Files
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Additional details
Related works
- Is new version of
- Dataset: 10.5281/zenodo.15270283 (DOI)
Funding
Dates
- Created
-
2025-08-25