  Even though numerous researchers require stable datasets along with source
code and basic metrics calculated on them, neither GitHub nor any other code
hosting platform provides such a resource. Consequently, each researcher must
download their own data, compute the necessary metrics, and then publish the
dataset somewhere to ensure it remains accessible indefinitely. Our CAM (stands
for ``Classes and Metrics'') project addresses this need. It is an open-source
software capable of cloning Java repositories from GitHub, filtering out
unnecessary files, parsing Java classes, and computing metrics such as
Cyclomatic Complexity, Halstead Effort and Volume, C\&K metrics,
Maintainability Metrics, LCOM5 and HND, as well as some Git-based Metrics. At
least once a year, we execute the entire script, a process which requires a
minimum of ten days on a very powerful server, to generate a new dataset.
Subsequently, we publish it on Amazon S3, thereby ensuring its availability as
a reference for researchers. The latest archive of 2.2Gb that we published on
the 2nd of March, 2024 includes 532K Java classes with 48 metrics for each
class.
