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---
license: mit
task_categories:
- image-text-to-text
- question-answering
arxiv: 2406.17126
---
# MM-SpuBench Datacard
This is the dataset repository for the paper [MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs](https://huggingface.co/papers/2406.17126).
## 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. |