  The Common Crawl (CC) corpus is the largest open web crawl dataset containing
9.5+ petabytes of data captured since 2008. The dataset is instrumental in
training large language models, and as such it has been studied for
(un)desirable content, and distilled for smaller, domain-specific datasets.
However, to our knowledge, no research has been dedicated to using CC as a
source of annotated geospatial data. In this paper, we introduce an efficient
pipeline to extract annotated user-generated tracks from GPX files found in CC,
and the resulting multimodal dataset with 1,416 pairings of human-written
descriptions and MultiLineString vector data from the 6 most recent CC
releases. The dataset can be used to study people's outdoor activity patterns,
the way people talk about their outdoor experiences, and for developing
trajectory generation or track annotation models. Our reproducible code is
available on GitHub: https://github.com/ilyankou/cc-gpx
