  One of the primary factors that encourage developers to contribute to open
source software (OSS) projects is the collaborative nature of OSS development.
However, the collaborative structure of these communities largely remains
unclear, partly due to the enormous scale of data to be gathered, processed,
and analyzed. In this work, we utilize the World Of Code dataset, which
contains commit activity data for millions of OSS projects, to build
collaboration networks for ten popular programming language ecosystems,
containing in total over 290M commits across over 18M projects. We build a
collaboration graph representation for each language ecosystem, having authors
and projects as nodes, which enables various forms of social network analysis
on the scale of language ecosystems. Moreover, we capture the information on
the ecosystems' evolution by slicing each network into 30 historical snapshots.
Additionally, we calculate multiple collaboration metrics that characterize the
ecosystems' states. We make the resulting dataset publicly available, including
the constructed graphs and the pipeline enabling the analysis of more
ecosystems.
