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