Abstract
Processed behavioral datasets and raw game logs from a large-scale study of LLM-based agent behavioral inference. Agents assigned one of 36 profiles (9 moral alignments x 4 motivations) navigate a procedurally generated dungeon environment. The deposit contains raw game logs (17,411 games, 1,575,377 sequences) and two processed training datasets used for BiLSTM and Longformer classification experiments respectively. Associated paper: Starace and Soule, Behavioral Inference at Scale: The Fundamental Asymmetry Between Motivations and Belief Systems. Full documentation in README.md.