  Software engineering researchers look for software artifacts to study their
characteristics or to evaluate new techniques. In this paper, we introduce
DUETS, a new dataset of software libraries and their clients. This dataset can
be exploited to gain many different insights, such as API usage, usage inputs,
or novel observations about the test suites of clients and libraries. DUETS is
meant to support both static and dynamic analysis. This means that the
libraries and the clients compile correctly, they are executable and their test
suites pass. The dataset is composed of open-source projects that have more
than five stars on GitHub. The final dataset contains 395 libraries and 2,874
clients. Additionally, we provide the raw data that we use to create this
dataset, such as 34,560 pom.xml files or the complete file list from 34,560
projects. This dataset can be used to study how libraries are used by their
clients or as a list of software projects that successfully build. The client's
test suite can be used as an additional verification step for code
transformation techniques that modify the libraries.
