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README.md

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 Authors: [Joshua Peterson](https://twitter.com/joshuacpeterson/), [Stefan Uddenberg](https://www.stefanuddenberg.com), [Thomas Griffiths](https://cocosci.princeton.edu/), [Alexander Todorov](https://tlab.uchicago.edu/), [Jordan Suchow](https://suchow.io/)
 
-The One Million Impressions (OMI) dataset contains over a million human judgments of over 1,000 synthetic face images along 34 attributes. When making use of the data in your research, please cite the associated publication:
+The One Million Impressions (OMI) dataset contains over a million human judgments of over 1,000 synthetic face images along 34 attributes.
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+**Please note** that these attribute inferences, especially those of the more subjective or socially constructed attributes, have no necessary correspondence to the actual identities, attitudes, or competencies of people whom the images resemble or depict (e.g., a trustworthy person may be wrongly assumed to be untrustworthy on the basis of appearance). Rather, these inferences, and in turn our measurements, reflect systematic biases and stereotypes about attributes shared by the population of raters. If you are considering studying or applying this dataset in your own work, please be mindful that failing to make this critical distinction can result in perpetuating the biases studied here.
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+When making use of the data in your research, please cite the associated publication:
 
 > Peterson, J. C., Uddenberg, S., Griffiths, T., Todorov, A., & Suchow, J. W. (2022). Deep models of superficial face judgments. *Proceedings of the National Academy of Sciences (PNAS).*