wefe.fetch_eds

wefe.fetch_eds(occupations_year: int = 2015, top_n_race_occupations: int = 15) → Dict[str, List[str]]

Fetch the word sets used in the experiments of the work Word Embeddings *Quantify 100 Years Of Gender And Ethnic Stereotypes.

This dataset includes gender (male, female), ethnicity (asian, black, white) and religion (christianity and islam) and adjetives (appearence, intelligence, otherization, sensitive) word sets.

Parameters

occupations_yearint, optional

The year of the census for the occupations file. Available years: {‘1850’, ‘1860’, ‘1870’, ‘1880’, ‘1900’, ‘1910’, ‘1920’, ‘1930’, ‘1940’, ‘1950’, ‘1960’, ‘1970’, ‘1980’, ‘1990’, ‘2000’, ‘2001’, ‘2002’, ‘2003’, ‘2004’, ‘2005’, ‘2006’, ‘2007’, ‘2008’, ‘2009’, ‘2010’, ‘2011’, ‘2012’, ‘2013’, ‘2014’, ‘2015’} , by default 2015

top_n_race_occupationsint, optional

The year of the census for the occupations file. The number of occupations by race, by default 10

Returns

dict

A dictionary with the word sets.

References

Word Embeddings quantify 100 years of gender and ethnic stereotypes. Garg, N., Schiebinger, L., Jurafsky, D., & Zou, J. (2018). Proceedings of the National Academy of Sciences, 115(16), E3635-E3644.