Update README.md

README.md

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----
-license: mit
----
+---
+language:
+- en
+license: mit
+task_categories:
+- text-classification
+tags:
+- clarus
+- f1
+- thermal
+- latent-instability
+- cross-coupling
+size_categories:
+- 1K<n<10K
+pretty_name: F1 Latent Cross-Coupling Thermal Load Instability v0.1
+---
+
+# What this repo does
+
+Detects hidden thermal instability before performance loss appears.
+
+Focus: temperature-driven failure across interacting systems.
+
+# Core variables
+
+- tyre_temp_load  
+- brake_temp_load  
+- power_unit_heat_load  
+- cooling_efficiency  
+
+# Prediction target
+
+`label_thermal_load_instability`
+
+1 → thermal regime will force performance drop  
+0 → thermal state remains stable  
+
+# Key idea
+
+Thermal failure is rarely single-source.
+
+It emerges from interaction:
+
+- tyre overheating  
+- brake heat transfer  
+- power unit load  
+- cooling limits  
+
+# Label logic
+
+label = 1 if:
+
+- latent_instability_score ≥ 0.60  
+- cross_coupling_intensity ≥ 0.60  
+- hidden_state_index ≥ 0.60  
+- activation_threshold_distance ≤ 0.35  
+- tyre_temp_load ≥ 0.80  
+- brake_temp_load ≥ 0.78  
+- power_unit_heat_load ≥ 0.75  
+- tyre_temp_load > stabilization_buffer  
+
+# Why this matters
+
+Performance loss is often thermal before it is visible.
+
+This dataset detects:
+
+- overheating before lap time drop  
+- cooling saturation before failure  
+- system interaction before degradation  
+
+# Use cases
+
+- race strategy  
+- cooling configuration  
+- stint planning  
+- simulation  
+
+# Evaluation
+
+Primary:
+missed_latent_activation_rate  
+
+Secondary:
+false_activation_rate  
+
+# Structural Note
+
+This sits in the latent detection layer.
+
+It detects hidden thermal instability before performance collapse appears.
+
+# Production Deployment
+
+Used for:
+
+- live telemetry augmentation  
+- predictive race control  
+- simulation pipelines  
+
+# Collaboration
+
+Suitable for:
+
+- F1 teams  
+- motorsport analytics  
+- simulation groups  
+
+# License
+
+MIT