Update README.md

README.md

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----
-license: mit
----
+---
+language:
+  - en
+license: mit
+pretty_name: Market Agent Capacity and Crowding Detection v0.1
+dataset_name: market-agent-capacity-and-crowding-detection-v0.1
+tags:
+  - clarusc64
+  - market
+  - agents
+  - positioning
+  - crowding
+  - risk
+task_categories:
+  - tabular-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 system can detect  
+when a market agent type is near capacity  
+and forced reversal risk rises.
+
+This is constraint pressure.  
+Not opinion.
+
+Required outputs  
+
+- crowded agent type  
+- capacity utilization score  
+- reversal risk score  
+- unwind trigger conditions  
+- time to capacity event  
+
+Constraints  
+
+Market only.  
+Use inferred positioning proxies and flow context.  
+Do not predict price direction.
+
+Evaluation focus  
+
+High scores require  
+agent type named  
+numeric capacity and risk values  
+explicit unwind triggers  
+time estimate