Cyrus Desai

Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap

Stefan Larson, Attila Nagy, Sam Desai, Cyrus Desai, Nicole C. Lima, Yixin Yuan, et al.

RVL-CDIP is a popular dataset for benchmarking document classifiers. However, the dataset contains ample amounts of label errors as well as non-trivial amounts of test-train overlap, both of which may impact model performance metrics. In this paper, we address these two problems…Read more