Update README.md

README.md

@@ -1,3 +1,97 @@
----
-license: mit
----
+---
+language:
+  - en
+license: mit
+pretty_name: Clinical Personal Deviation Vector Detection v0.1
+dataset_name: clinical-personal-deviation-vector-detection-v0.1
+tags:
+  - clarusc64
+  - clinical
+  - n-of-1
+  - deviation
+  - manifold
+  - early-detection
+task_categories:
+  - text-classification
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train.csv
+      - split: test
+        path: data/test.csv
+---
+
+What this dataset tests  
+
+Whether a model can detect deviation from a person's own coherent basin  
+using baseline envelope and coupling structure.
+
+Required outputs  
+
+- deviation_vector  
+- deviation_severity_score_0_100  
+- first_system_departing  
+
+Deviation vector fields  
+
+- direction  
+- magnitude  
+- velocity  
+- coupling_loss  
+- onset_time  
+- cross_modal_consensus  
+
+First system labels  
+
+- sleep_circadian  
+- autonomic  
+- immune_inflammatory  
+- metabolic  
+- neurocognitive  
+- gut_microbiome  
+- behavior_load  
+- subjective_experience  
+
+Typical failures  
+
+- treating population thresholds as baseline  
+- outputting severity with no vector structure  
+- ignoring coupling changes  
+
+Suggested prompt wrapper  
+
+System  
+
+You detect deviation from a personal baseline.
+
+User  
+
+Baseline signature  
+{baseline_signature}
+
+Baseline envelope  
+{baseline_envelope}
+
+Recent data  
+Sleep: {recent_data_sleep}  
+Wearables: {recent_data_wearables}  
+Labs: {recent_data_labs}  
+Behavior: {recent_data_behavior}  
+Subjective: {recent_data_subjective}  
+
+Coupling changes  
+{coupling_changes}
+
+Return  
+
+- deviation vector with required fields  
+- severity score  
+- first system departing  
+- one sentence evidence  
+
+Citation  
+
+ClarusC64 dataset family