---
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.