ERQA

Official

Benchmark dataset for spatial reasoning and multimodal question-answering.

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 required

Components

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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