ERQA
OfficialBenchmark dataset for spatial reasoning and multimodal question-answering.
Education & Research#spatial reasoning#benchmark dataset#world knowledge#multimodal question-answering#embodied reasoning
AuthorEurecaMoment
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a reusable benchmark-dataset card for ERQA, enabling models to evaluate spatial reasoning, world-knowledge understanding, and embodied visual grounding.
Core Features & Use Cases
- Multimodal Question-Answering: Evaluates models on answering questions based on both text and images.
- Spatial Reasoning: Tests models' ability to reason about spatial relations and positions.
- World Knowledge: Assesses models on combining real-world semantics with visual evidence.
- Embodied Reasoning: Evaluates models on movement, viewpoint changes, and visibility.
- Use Case: For a model to assess its capabilities in multi-image reasoning and spatial relations, it can use the ERQA dataset as a benchmark.
Quick Start
Run the ERQA Skill to evaluate your model's performance on spatial reasoning and multimodal question-answering tasks.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ERQA Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#erqa Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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