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README.md
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license: mit
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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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---
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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:** Derived from ObjectNet as the primary source, and ImageNet-R (rendition), ImageNet-Sketch, ImageNet-A, and ImageNet-C (using ImageNet-Hard subset).
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- **Data Collection Method:** See the paper.
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