Belief Dynamics
What changes someone's mind, turn by turn.
What is in this dataset?
Career transitions, mentorship conflict, relationships ending. Each turn carries the belief state and how it shifted, so the change of mind is data rather than something you infer from the text.
Every turn carries what the speaker intended, what they wanted, the communication act, what they believed at that moment and how the relationship moved — computed before the text was generated, not inferred from it afterwards.
Why does it exist?
Whether a conversation changed someone's mind is normally reconstructed afterwards by reading the text, which means the label agrees with whoever read it. Here the belief state is recorded as the conversation happens.
How was it built?
- Three scenarios: career transitions, mentorship conflict, relationship dissolution.
- Each turn records the belief state and the shift from the previous turn.
- The state is computed before the text, so it is not an interpretation of it.
What does it prove — and what does it not?
Persuasion and resistance as measurable trajectories.
The belief trajectory is the model's, produced by our engine. It is ground truth for what the system intended, which is what makes it useful for training — it is not a claim about human persuasion.
What can you use it for?
- Training or evaluating models that must track what a user currently believes.
- Studying persuasion and resistance as a trajectory instead of an outcome.
- Supervising an agent that has to notice when someone has changed their mind.