Bridging the Digital Divide: Performance Variation across SocioEconomic Factors in Vision-Language Models
This repo contains code (in Jupyter Notebooks) for the analysis featured in our EMNLP 2023 paper:
Joan Nwatu$, Oana Ignat$, and Rada Mihalcea
($ equal contribution)
The data we used is from the GapMinder project called Dollar Street.
View the images of various households across the world through Dollar Street: photos as data to kill country stereotypes
The dataset is available for download at ML Commons Dollar Street Dataset