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---
license: mit
task_categories:
- question-answering
language:
- en
size_categories:
- 1K<n<10K
---
# 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:** Images derived from ObjectNet as the primary source, and ImageNet-R (rendition), ImageNet-Sketch, ImageNet-A, and ImageNet-C (using ImageNet-Hard subset). QA data are curated by the authors.
- **Data Collection Method:** See the paper. |