The Klarna Product-Page Dataset

The WTL snapshots are produced by loading the MHTML pages into a chromium-based browser. To keep the WTL dataset compact, the screenshots of the rendered MTHML are provided separately; here we provide the HTML of the rendered DOM tree and additional page and element metadata with rendering information (bounding boxes of elements, font sizes etc.). The folder structure of the screenshot dataset is identical to the one the WTL dataset and can be used to complete the WTL snapshots with image information.

For convenience, the datasets are provided with a train/test split in which no merchants in the test set are present in the training set. Corresponding Publication For more information about the contents of the datasets (statistics etc.) please refer to the following TMLR paper. GitHub Repository The code needed to re-run the experiments in the publication accompanying the dataset can be accessed here.

Citing If you found this dataset useful in your research, please cite the paper as follows: @article{hotti2024the, title={The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models}, author={Alexandra Hotti and Riccardo Sven Risuleo and Stefan Magureanu and Aref Moradi and Jens Lagergren}, journal={Transactions on Machine Learning Research}, issn={2835-8856}, year={2024}, url={openreview.net/forum?id=zz6FesdDbB}, note={} }