Evaluation Data Information Section Synthetic Evaluation Data Information Section Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru. 2019. Model Cards for Model Reporting. In FAT* ’19: Conference on Fairness, Accountability, and Transparency, January 29–31, 2019, Atlanta, GA, USA. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3287560. 3287596 The section is devoted in descrbing the synthetic evaluation datasets used for a machine learning model. Synthetic evaluation datasets are a type of evaluation dataset. "It is often difficult to find datasets that represent populations outside of the initial domain used in training. In some of these situations, synthetically generated datasets may provide representation for use cases that would otherwise go unevaluated" (Mitchell et al., 2019). This section should described the aforementioned.