A compendium of data sources for data science, machine learning, and
  artificial intelligence
Paul Bilokon Oleksandr Bilokon Saeed Amen
Recent advances in data science, machine learning, and artificial
intelligence, such as the emergence of large language models, are leading to an
increasing demand for data that can be processed by such models. While data
sources are application-specific, and it is impossible to produce an exhaustive
list of such data sources, it seems that a comprehensive, rather than complete,
list would still benefit data scientists and machine learning experts of all
levels of seniority. The goal of this publication is to provide just such an
(inevitably incomplete) list -- or compendium -- of data sources across
multiple areas of applications, including finance and economics, legal (laws
and regulations), life sciences (medicine and drug discovery), news sentiment
and social media, retail and ecommerce, satellite imagery, and shipping and
logistics, and sports.