Duchenne experiment data accompanying the paper by Whitehill, et al., Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise", NIPS 2009: The data above were used to obtain the results presented in the NIPS 2009 paper. The data can be used for academic purposes; please cite the paper mentioned above.

In addition, we have since improved upon the GLAD algorithm presented in the NIPS 2009 paper: for better results on the Duchenne data, please see Ruvolo, et al., Exploiting Structure in Crowdsourcing Tasks via Latent Factor Models, MPLab Tech Report 2010.