Before revision: We present a first-of-its-kind large synthetic training dataset for online hate classification,created from scratch with trained annotators over multiple rounds of dynamic data collection.
After revision: We present a human-and-model-in-the-loop process for dynamically generating datasets and training better performing and more robust hate detection models. We provide a new dataset of ~40,000 entries, generated and labelled by trained annotators over multiple rounds of dynamic data collection.