  Eye movement recordings from reading are one of the richest signals of human
language processing. Corpora of eye movements during reading of contextualized
running text is a way of making such records available for natural language
processing purposes. Such corpora already exist in some languages. We present
CopCo, the Copenhagen Corpus of eye tracking recordings from natural reading of
Danish texts. It is the first eye tracking corpus of its kind for the Danish
language. CopCo includes 1,832 sentences with 34,897 tokens of Danish text
extracted from a collection of speech manuscripts. This first release of the
corpus contains eye tracking data from 22 participants. It will be extended
continuously with more participants and texts from other genres. We assess the
data quality of the recorded eye movements and find that the extracted features
are in line with related research. The dataset available here:
https://osf.io/ud8s5/.
