Public Datasets & Transparency
Fully Open, Blinded Datasets — Scored by GPT + Grok + Gemini Ensemble. Download anything.
1. Blinding. Each historical node is scored without reference to outcome — scorers do not know the terminal state of the society.
2. Triple-AI scoring. GPT-4, Grok, and Gemini each independently assign 1–10 values for Coherence, Capacity, Stress, and Abstraction per node per time-step.
3. Ensemble average. The three scores are averaged to produce the final CAMS matrix.
4. Validation. Ensemble reliability (r > 0.7 across models) and inter-rater agreement are documented in the repository:
DATASET_VALIDATION_SUMMARY.md, CAMS_Validation_Formulation.md.
All datasets are in the public GitHub repository under data/cleaned/. No login required.
Browse all datasets on GitHub Full datasets index (DATASETS_INDEX.md)
Validated Datasets — 28 Published
All datasets below have passed Stress-column validation (no negative values). A further 8 datasets are undergoing data quality review.
North America & South America
Europe
Asia-Pacific
Middle East
Organisations
CAMS applied at organisational scale — same 8-node model, same formulas.
CSV Schema
Every dataset follows the same column structure — directly loadable into the CAMS Dashboard, Python scripts, or any data tool.
| Column | Type | Description |
|---|---|---|
Society | string | Society or organisation name |
Year | integer | Year of observation |
Node | string | One of the 8 institutional nodes (Lore, Archive, Helm, Stewards, Shield, Craft, Hands, Flow) |
Coherence | float 1–10 | Internal alignment of the node |
Capacity | float 1–10 | Resources and effectiveness |
Stress | float 1–10 | Accumulated pressure and dysfunction |
Abstraction | float 1–10 | Symbolic sophistication and long-range planning |
Node Value | float | Derived: C + K + (A/2) − S |
Bond Strength | float 0–1 | Derived: coupling with adjacent node |
Supporting Files & Tools
- DATASET_VALIDATION_SUMMARY.md — Full audit and cross-LLM correlations
- CAMS_Validation_Formulation.md — Complete methodology and falsification protocol
- Scoring Rubric & Guidelines — Repo root and docs folder
- Python notebooks and ensemble scripts —
cams_engine.py,simple_analysis.py, and more
→ See the model in action — Live Applications & Dashboards
→ Core framework — The CAMS Model
Repository: github.com/KaliBond/wintermute
Open science. Contributions and new datasets welcome. CC0 licence.
Let the numbers do the talking.