Red Team Attempts is a specialized dataset created by Anthropic to identify dangerous or harmful outputs from artificial intelligence models. This dataset was developed to test models using a “red team” approach.
The dataset makes it possible to study shortcomings in working with artificial intelligence models, identify and analyze potentially dangerous model responses, and improve model reliability through testing.
This project is available as an open-source resource on the GitHub platform (https://github.com/anthropic) and is a useful resource for researchers and developers.
