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| # StrataSynth | |
| StrataSynth generates **synthetic datasets with structured psychological and social dynamics**. | |
| Unlike traditional LLM-generated dialogue datasets, StrataSynth models internal cognitive state before generating language. | |
| Our engine separates cognition from language: | |
| PsycheGraph → identity model | |
| Belief Engine → evolving beliefs | |
| Relationship State → trust, tension, connection | |
| Decision Engine → conversational intent | |
| LLM Rendering → natural language | |
| This produces datasets with **explicit belief evolution and relationship trajectories**. | |
| --- | |
| ## Datasets | |
| We publish datasets focused on: | |
| - belief dynamics | |
| - social reasoning | |
| - conversational conflict | |
| - agent stress testing | |
| Current datasets: | |
| - `stratasynth-belief-dynamics` | |
| - `stratasynth-social-reasoning` | |
| - `stratasynth-agent-stress-test` | |
| --- | |
| ## Why structured synthetic data? | |
| Most dialogue datasets only contain text. | |
| StrataSynth datasets include: | |
| - belief_state | |
| - belief_updates | |
| - relationship_state | |
| - intent | |
| - communication_act | |
| - conversation trajectory | |
| This allows research in: | |
| - AI alignment | |
| - social reasoning models | |
| - agent evaluation | |
| - belief tracking | |
| - multi-agent systems | |
| --- | |
| ## Links | |
| Website | |
| https://stratasynth.com | |
| Platform | |
| https://app.stratasynth.com | |
| --- | |
| ## Example turn | |
| Speaker A | |
| "I’m not upset about the meeting. I’m upset that you didn’t tell me earlier." | |
| intent: reveal | |
| goal: seek_validation | |
| belief_update: | |
| trust_other: -0.07 | |
| relationship_state: | |
| trust: 0.62 | |
| tension: 0.44 |