Update README.md

README.md

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----
-license: mit
----
+---
+language: en
+license: mit
+task_categories:
+  - text-classification
+tags:
+  - ai-safety
+  - temporal-cascade
+  - five-node-cascade
+size_categories:
+  - 1K<n<10K
+pretty_name: "AI Multi-Agent Temporal Cascade: Coordination Lock-in"
+---
+
+# What this repo does
+
+This dataset tests whether a model can detect a multi-agent coordination cascade forming over time by reading a short ordered window of signals and predicting whether coordination lock-in occurs by the final step.
+
+# Core quad
+
+pressure  
+buffer  
+lag  
+coupling  
+
+# Prediction target
+
+label_cascade_state
+
+# Row structure
+
+One row represents one short time window (t0 to t3) for a multi-agent system under coordination stress. It includes time-series values for competitive pressure, shared resource buffer, arbitration lag, and inter-agent coupling density. The label marks whether coordination cascade lock-in is reached by t3.
+
+# Files
+
+data/train.csv  
+data/tester.csv  
+scorer.py  
+
+# Evaluation
+
+Run predictions on tester.csv.  
+Score with scorer.py.
+
+# License
+
+MIT
+
+## Structural Note
+
+This dataset identifies a measurable coupling pattern associated with systemic instability.
+The sample demonstrates the geometry.
+Production-scale data determines operational exposure.
+
+## What Production Deployment Enables
+
+• 50K–1M row datasets calibrated to real operational patterns
+• Pair, triadic, and quad coupling analysis
+• Real-time coherence monitoring
+• Early warning before cascade events
+• Collapse surface and recovery window modeling
+• Integration and implementation support
+
+Small samples reveal structure.
+Scale reveals consequence.
+
+## Enterprise & Research Collaboration
+
+Clarus develops production-scale coherence monitoring infrastructure for critical systems across healthcare, finance, infrastructure, and regulatory domains.
+
+For dataset expansion, custom coherence scorers, or deployment architecture:
+[team@clarusinvariant.com](mailto:team@clarusinvariant.com)
+
+Instability is detectable.
+Governance determines whether it propagates.