Datasets:
| 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. |