PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus

Deborah N. Jakobi, Thomas Kern, David R. Reich, Patrick Haller, Lena A. Jäger
3/1/2024
cs.CL

Official code: DiLi-Lab/PoTeC (16 stars, last commit 2026-04-15).

Abstract

The Potsdam Textbook Corpus (PoTeC) is a naturalistic eye-tracking-while-reading corpus containing data from 75 participants reading 12 scientific texts. PoTeC is the first naturalistic eye-tracking-while-reading corpus that contains eye-movements from domain-experts as well as novices in a within-participant manipulation: It is based on a 2x2x2 fully-crossed factorial design which includes the participants' level of study and the participants' discipline of study as between-subject factors and the text domain as a within-subject factor. The participants' reading comprehension was assessed by a series of text comprehension questions and their domain knowledge was tested by text-independent background questions for each of the texts. The materials are annotated for a variety of linguistic features at different levels. We envision PoTeC to be used for a wide range of studies including but not limited to analyses of expert and non-expert reading strategies. The corpus and all the accompanying data at all stages of the preprocessing pipeline and all code used to preprocess the data are made available via GitHub: https://github.com/DiLi-Lab/PoTeC.

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DiLi-Lab/PoTeCOfficial100%

This repository contains the Potsdam Textbook Corpus (PoTeC) which is a natural reading eye-tracking corpus.

162R, TeXJul 6, 20236 months ago
dataseteye-trackingfair-datareading

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Cite this paper

@article{jakobi2024potec,
  title  = {PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus},
  author = {Deborah N. Jakobi and Thomas Kern and David R. Reich and Patrick Haller and Lena A. Jäger},
  year   = {2024},
  eprint = {2403.00506},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.00506v1}
}

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