datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
menti-bench
Menti-Bench
Menti-Bench is a manually constructed, quality-controlled benchmark of situated decision scenarios for evaluating Mental World Modeling (MWM): whether a model can predict what a target agent will actually do next, in scenes where the correct prediction depends on tracking each agent's beliefs, knowledge access, goals, emotions, and social constraints rather than the physical scene alone.
Each instance presents a short story (text, an image sequence, or a sounding… See the full description on the dataset page: https://huggingface.co/datasets/mental-world-model/menti-bench.subjective-world-model
Subjective World Model — Preview Dataset
by Atypica
Preview release. All records are illustrative archetypes constructed from real interview methodology — not records of specific individuals.
Introduction
This dataset trains AI agents to simulate how specific people think and make decisions — not statistical averages or fictional archetypes, but individuals with their own logic, habits, and contradictions.
Two record types:
persona — one individual: an AI-conducted… See the full description on the dataset page: https://huggingface.co/datasets/atypica/subjective-world-model.