  SMART is an open source web application designed to help data scientists and
research teams efficiently build labeled training data sets for supervised
machine learning tasks. SMART provides users with an intuitive interface for
creating labeled data sets, supports active learning to help reduce the
required amount of labeled data, and incorporates inter-rater reliability
statistics to provide insight into label quality. SMART is designed to be
platform agnostic and easily deployable to meet the needs of as many different
research teams as possible. The project website contains links to the code
repository and extensive user documentation.
