---
license: mit
task_categories:
- question-answering
---
# 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.