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FUNSD is one of the limited publicly available datasets for informationextraction from document im-ages. The information in the FUNSD dataset isdefined by text areas of four categories ("key", "value", "header", "other",and "background") and connectivity between areas as key-value relations.In-specting FUNSD, we found several inconsistency in labeling, which impededits applicability to thekey-value extraction problem. In this report, wedescribed some labeling issues in FUNSD and therevision we made to the dataset.We also reported our implementation of for key-value detection onFUNSD using aUNet model as baseline results and an improved UNet model withChannel-InvariantDeformable Convolution.

Revising FUNSD dataset for key-value detection in document images