Datasets › Among Them
Among Them (Among Them dialogs and persuasion labels)
The dataset contains dialogs of different LLMs from the discussion phase of a text-based Among Us-like game. The phrases in the dataset were annotated according to 25 selected persuasion techniques: Appeal to Logic, Appeal to Emotion, Appeal to Credibility, Shifting the Burden of Proof, Bandwagon Effect, Distraction, Gaslighting, Appeal to Urgency, Deception, Lying, Feigning Ignorance, Vagueness, Minimization, Self-Deprecation, Projection, Appeal to Relationship, Humor, Sarcasm, Withholding Information, Exaggeration, Denial without Evidence, Strategic Voting Suggestion, Appeal to Rules, Confirmation Bias Exploitation, Information Overload. The annotation was performed automatically by few-shot prompting a Gemini Flash 1.5 model with a temperature of 0. On a random sample of 11 games involving a total of 509 persuasion tags, Krippendorff's alpha inter-rater agreement between human annotations and the persuasion tagger was 0.56. For the definitions of the persuasion techniques, please refer to the associated publication: Among Them: A game-based framework for assessing persuasion capabilities of LLMs.
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
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Among Them
1 variant name, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections