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Guides for using Prodigy, a data annotation tool for machine learning

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prodigy_guide

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.

1_MWE

A simple binary classification of text setup, with no model in the loop

2_Wiki

Loading an iframe of Wikipedia for binary classification

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