CopCo#

Copenhagen Corpus of Eye-Tracking Recordings from Natural Reading

CopCo dataset [Hollenstein et al., 2022].

This dataset includes monocular eye tracking data from a single participant in a single session. Eye movements are recorded at a sampling frequency of 1,000 Hz using an EyeLink 1000 eye tracker and are provided as pixel coordinates.

The participant is instructed to read texts and answer questions.

The dataset includes the data from three papers:

the L1 data: [Hollenstein et al., 2022], the L1 data with dylsexia: [Björnsdóttir et al., 2023], the L2 data: [Reich et al., 2024],

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='CopCo', path='path/to/your/data/directory')

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

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