  Over the years, various approaches have been employed to enhance the
productivity of knowledge workers, from addressing psychological well-being to
the development of personal knowledge assistants. A significant challenge in
this research area has been the absence of a comprehensive, publicly accessible
dataset that mirrors real-world knowledge work. Although a handful of datasets
exist, many are restricted in access or lack vital information dimensions,
complicating meaningful comparison and benchmarking in the domain. This paper
presents RLKWiC, a novel dataset of Real-Life Knowledge Work in Context,
derived from monitoring the computer interactions of eight participants over a
span of two months. As the first publicly available dataset offering a wealth
of essential information dimensions (such as explicated contexts, textual
contents, and semantics), RLKWiC seeks to address the research gap in the
personal information management domain, providing valuable insights for
modeling user behavior.
