Datasets › Trilemma Dataset

Trilemma Dataset (The Trilemma of Truth in Large Language Models)

Introduced by Germans Savcisens et al. in The Trilemma of Truth in Large Language Models30 Jun 2025 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

cc-by-4.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Trilemma Dataset

1 variant name, as the archive lists them.

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