PoTeC

Potsdam Textbook Corpus

PoTeC dataset [Jakobi et al., 2025].

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 2×2×2 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.

How to Download

import pymovements as pm

# Initialize the dataset object with its name
# Specify your local directory for saving and loading data
dataset = pm.Dataset(name='PoTeC', path='path/to/your/data/directory')

# Download the dataset and extract all archives.
dataset.download()

# Load the dataset into memory for processing
dataset.load()