wefe.fetch_eds

wefe.fetch_eds(occupations_year: int = 2015, top_n_race_occupations: int = 15) dict[source]

Fetch the word sets used in the experiments of the work Word Embeddings *Quantify 100 Years Of Gender And Ethnic Stereotypes. It includes gender (male, female), ethnicity (asian, black, white) and religion(christianity and islam) and adjetives (appearence, intelligence, otherization, sensitive) word sets.

Reference: 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.

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.