Datasets
LREC-COLING 2024
Dataset contents: Human gaze data during self-paced reading of real-world English text (5247 tokens) containing interruptions, pre- and post-test scores
Number of participants: 50
Contact: Francesca Zermiani, francesca.zermiani@ife.uni-stuttgart.de
The data is only to be used for non-commercial scientific purposes. If you use this dataset in a scientific publication, please cite the following paper:
Francesca Zermiani, Prajit Dhar, Ekta Sood, Fabian Koegel, Andreas Bulling, and Maria Wirzberger. 2024. InteRead: An Eye Tracking Dataset of Interrupted Reading. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 9154–9169, Torino, Italy. ELRA and ICCL.
Dataset license agreement
- Attribution: You must give appropriate credit to the original creators of the dataset.
- Non-Commercial: You may not use the dataset for commercial purposes.
- Share Alike: If you remix, transform, or build upon the dataset, you must distribute your contributions under the same license as the original.
Contact
Maria Wirzberger
Jun.-Prof. Dr. rer. nat.Professor for Teaching and Learning with Intelligent Systems | Spokesperson of the Stuttgart Research Focus IRIS | Co-Director of the AI Software Academy