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Curated collections of configuration data used to analyze model safety and instruction-following.
Distinguishing note: Focuses on alignment and safety research data rather than general software testing.
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This project is a centralized repository for the collection and analysis of system instructions and behavioral configurations extracted from large language models and AI-powered software. It serves as a research archive that documents the internal directives, operational constraints, and safety protocols that define how various artificial intelligence agents interact with users. The repository distinguishes itself through a crowdsourced approach to data aggregation, maintaining a historical record of configuration changes across a wide range of proprietary models and coding assistants. By org
Provides curated configuration data to analyze model alignment and safety guardrails.