Trilemma Dataset

The Trilemma of Truth in Large Language Models

Textscc-by-4.0Introduced 2025-06-30

The Trilemma of Truth is a multiclass probing dataset for evaluating the veracity-tracking mechanism of large language models. It comprises three configurations— city_locations (statements about where cities are), med_indications (drug–condition assignments), and word_definitions - each annotated as true, false, or neither. Designed to plug straight into sAwMIL and various veracity probes.