Update README.md

README.md

@@ -1,3 +1,59 @@
----
-license: mit
----
+---
+language:
+  - en
+license: mit
+pretty_name: Autonomous Driving Multi-Sensor Coherence Baseline Modeling v0.1
+dataset_name: autonomous-driving-multisensor-coherence-baseline-modeling-v0.1
+tags:
+  - clarusc64
+  - autonomous-driving
+  - multisensor
+  - coherence
+  - perception
+  - world-model
+task_categories:
+  - tabular-regression
+  - time-series-forecasting
+size_categories:
+  - n<1K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train.csv
+      - split: test
+        path: data/test.csv
+---
+
+What this dataset tests
+
+Whether a system can model
+the expected coherence of a sensor suite
+for a given driving context.
+
+The output is a baseline and tolerance band.
+This is the reference for later decoherence detection.
+
+Required outputs
+
+- baseline_coherence_score  
+- expected_sensor_alignment  
+- cross_modal_correlation  
+- stability_band  
+- drift_tolerance  
+- baseline_confidence  
+
+Scoring conventions
+
+- all scores range 0 to 1  
+- stability band is a low-high interval  
+- drift tolerance encodes how much map/sensor mismatch is normal in context  
+
+Use case
+
+Layer one of Anomaly Detection via System-Wide Decoherence.
+
+Supports:
+- early decoherence onset detection  
+- sensor health monitoring  
+- graceful degradation triggers