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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.
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