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--- |
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license: mit |
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task_categories: |
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- question-answering |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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# MM-SpuBench Datacard |
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## Basic Information |
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**Title:** The Multimodal Spurious Benchmark (MM-SpuBench) |
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**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. |
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**Data Structure:** |
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``` |
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├── data/images |
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│ ├── 000000.jpg |
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│ ├── 000001.jpg |
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│ ├── 000002.jpg |
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│ ├── ... |
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│ └── 002399.jpg |
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└── annotation.json |
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``` |
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## Dataset Details |
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- **Content Types:** VQA pairs with Concept Information |
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- **Volume:** 2400 VQA pairs |
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- **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. |
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- **Data Collection Method:** See the paper. |
