Guides for using Prodigy, a data annotation tool for machine learning
This work is funded by the Machine-Learning for Social Science Lab in the Center for the Peace and Security Studies (cPASS) at the University of California, San Diego.
Each folder contains a different example task of how Prodigy can be used, along with the helper functions and documentation needed to run it.
A simple binary classification of text setup, with no model in the loop
Loading an iframe of Wikipedia for binary classification
Run Prodigy on EC2 and back up to Dropbox