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.

翻译：近期数据科学、机器学习和人工智能领域的进展，例如大型语言模型的出现，导致对这些模型可处理的数据需求日益增加。虽然数据源具有特定应用场景，且不可能穷尽所有数据源，但一份全面而非完整的清单，似乎仍能惠及各级别的数据科学家和机器学习专家。本出版物的目标正是提供这样一份（必然不完整的）清单——或称概要——涵盖多个应用领域的数据源，包括金融与经济、法律（法律法规）、生命科学（医学与药物发现）、新闻情绪与社交媒体、零售与电子商务、卫星图像、航运与物流，以及体育。