  FUNSD is one of the limited publicly available datasets for information
extraction from document im-ages. The information in the FUNSD dataset is
defined 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 impeded
its applicability to thekey-value extraction problem. In this report, we
described some labeling issues in FUNSD and therevision we made to the dataset.
We also reported our implementation of for key-value detection onFUNSD using a
UNet model as baseline results and an improved UNet model with
Channel-InvariantDeformable Convolution.
