The dataset contains structured information on the life, work, and death of more than 1 million deceased famous people.

Paper abstract (ICWSM proceedings)

We developed a five-step method and inferred birth and death years, binary gender, and occupation from community-submitted data to all language versions of the Wikipedia project. The dataset is the largest on notable deceased people and includes individuals from a variety of social groups, including but not limited to 107k females, 124 non-binary people, and 90k researchers, who are spread across more than 300 contemporary or historical regions. The final product provides new insights into the demographics of mortality in relation to gender and profession in history. The technical method demonstrates the usability of the latest text mining approaches to accurately clean historical data and reduce the missing values.

How to cite:

Annamoradnejad, Issa; Annamoradnejad, Rahimberdi (2022), “Age dataset: A structured general-purpose dataset on life, work, and death of 1.22 million distinguished people”, In Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM), doi: 10.36190/2022.82 

Source: http://workshop-proceedings.icwsm.org/abstract?id=2022_82