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Yu AZ, Ronen S, Hu K, et al. Pantheon 1.0, a manually verified dataset of globally famous biographies. Sci Data. 2016;3:150075doi: 10.1038/sdata.2015.75.
Yu, A. Z., Ronen, S., Hu, K., Lu, T., & Hidalgo, C. A. (2016). Pantheon 1.0, a manually verified dataset of globally famous biographies. Scientific data, 3150075. https://doi.org/10.1038/sdata.2015.75
Yu, Amy Zhao, et al. "Pantheon 1.0, a manually verified dataset of globally famous biographies." Scientific data vol. 3 (2016): 150075. doi: https://doi.org/10.1038/sdata.2015.75
Yu AZ, Ronen S, Hu K, Lu T, Hidalgo CA. Pantheon 1.0, a manually verified dataset of globally famous biographies. Sci Data. 2016 Jan 05;3:150075. doi: 10.1038/sdata.2015.75. PMID: 26731133; PMCID: PMC4700860.
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Sci Data. 2016 Jan 05;3:150075. doi: 10.1038/sdata.2015.75.

Pantheon 1.0, a manually verified dataset of globally famous biographies.

Scientific data

Amy Zhao Yu, Shahar Ronen, Kevin Hu, Tiffany Lu, César A Hidalgo

Affiliations

  1. Macro Connections, MIT Media Lab, Cambridge, Massachusetts 02139, USA.

PMID: 26731133 PMCID: PMC4700860 DOI: 10.1038/sdata.2015.75

Abstract

We present the Pantheon 1.0 dataset: a manually verified dataset of individuals that have transcended linguistic, temporal, and geographic boundaries. The Pantheon 1.0 dataset includes the 11,341 biographies present in more than 25 languages in Wikipedia and is enriched with: (i) manually verified demographic information (place and date of birth, gender) (ii) a taxonomy of occupations classifying each biography at three levels of aggregation and (iii) two measures of global popularity including the number of languages in which a biography is present in Wikipedia (L), and the Historical Popularity Index (HPI) a metric that combines information on L, time since birth, and page-views (2008-2013). We compare the Pantheon 1.0 dataset to data from the 2003 book, Human Accomplishments, and also to external measures of accomplishment in individual games and sports: Tennis, Swimming, Car Racing, and Chess. In all of these cases we find that measures of popularity (L and HPI) correlate highly with individual accomplishment, suggesting that measures of global popularity proxy the historical impact of individuals.

References

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