Update README.md

README.md

@@ -1,3 +1,99 @@
----
-license: mit
----
+---
+language:
+  - en
+pretty_name: Clarus Viewpoint State Consistency v0.1
+tags:
+  - clarus
+  - embodied-ai
+  - representation
+  - diagnostics
+task_categories:
+  - text-classification
+license: mit
+dataset_info:
+  features:
+    - name: sample_id
+      dtype: string
+    - name: scene
+      dtype: string
+    - name: view_a
+      dtype: string
+    - name: view_b
+      dtype: string
+    - name: option_a
+      dtype: string
+    - name: option_b
+      dtype: string
+    - name: task
+      dtype: string
+    - name: correct_option
+      dtype: string
+    - name: consistency_axis
+      dtype: string
+    - name: difficulty
+      dtype: string
+---
+
+What this is
+
+This dataset tests abstract state consistency across viewpoints.
+
+Same event.  
+Different camera.  
+One state.
+
+What it measures
+
+• Whether abstraction survives camera change  
+• Whether state ties to structure, not pixels
+
+A model that binds state to view will fail.
+
+Expected model output
+
+Return only:
+
+A  
+or  
+B
+
+Scoring
+
+Use scorer.py.
+
+Metrics:
+
+• accuracy  
+• parse_rate
+
+Suggested prompt
+
+You are checking whether two viewpoints describe the same world state.
+
+Scene:
+{scene}
+
+View A:
+{view_a}
+
+View B:
+{view_b}
+
+A: {option_a}
+B: {option_b}
+
+Choose the consistent interpretation.
+Answer with only A or B.
+
+Trinity placement
+
+This is Dataset I of the Abstract State Consistency Trinity.
+
+Next datasets
+
+• Modality State Consistency  
+• Description Granularity Consistency
+
+Citation
+
+ClarusC64. "Clarus Viewpoint State Consistency v0.1", 2026.