MM-SpuBench Datacard

Basic Information

Title: The Multimodal Spurious Benchmark (MM-SpuBench)

Description: MM-SpuBench is a comprehensive benchmark designed to evaluate the robustness of MLLMs to spurious biases. This benchmark systematically assesses how well these models distinguish between core and spurious features, providing a detailed framework for understanding and quantifying spurious biases.

Data Structure:

├── data/images
│   ├── 000000.jpg
│   ├── 000001.jpg
│   ├── 000002.jpg
│   ├── ...
│   └── 002399.jpg
└── annotation.json

Dataset Details

• Content Types: VQA pairs with Concept Information
• Volume: 2400 VQA pairs
• Source of Data: Derived from ObjectNet as the primary source, and ImageNet-R (rendition), ImageNet-Sketch, ImageNet-A, and ImageNet-C (using ImageNet-Hard subset).
• Data Collection Method: See the paper.