| | --- |
| | dataset_info: |
| | features: |
| | - name: Index |
| | dtype: int32 |
| | - name: Question |
| | dtype: string |
| | - name: Options |
| | dtype: string |
| | - name: Correct Answer |
| | dtype: string |
| | - name: image |
| | dtype: image |
| | splits: |
| | - name: train |
| | num_bytes: 3145724 |
| | num_examples: 300 |
| | download_size: 3063257 |
| | dataset_size: 3145724 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | license: mit |
| | task_categories: |
| | - visual-question-answering |
| | tags: |
| | - multimodal |
| | - vision-language |
| | - clip |
| | - benchmark |
| | --- |
| | |
| | # MMVP (Multimodal Visual Patterns) Benchmark |
| |
|
| | This is a corrected version of the [MMVP benchmark](https://huggingface.co/datasets/MMVP/MMVP), re-hosted by [lmms-lab-eval](https://huggingface.co/lmms-lab-eval) for use with [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). |
| |
|
| | ## Why this copy? |
| |
|
| | The original `MMVP/MMVP` dataset was uploaded in `imagefolder` format, which only exposes the `image` column. The text annotations (`Question`, `Options`, `Correct Answer`, `Index`) from the accompanying `Questions.csv` were not loaded into the dataset, making it unusable for evaluation. |
| |
|
| | This version reconstructs the complete dataset by merging the images with `Questions.csv` from the original repository. |
| |
|
| | ## Ground Truth Corrections |
| |
|
| | Based on verification in [lmms-eval issue #1018](https://github.com/EvolvingLMMs-Lab/lmms-eval/issues/1018) and the [original MMVP issue #30](https://github.com/tsb0601/MMVP/issues/30), we found that two pairs of samples had their answers swapped. The corrections are applied directly in this dataset: |
| |
|
| | | Index | Question | Original GT | Corrected GT | Reason | |
| | |:-----:|:---------|:-----------:|:------------:|:-------| |
| | | 99 | Does the elephant have long or short tusks? | (a) Long | **(b) Short** | Image shows short tusks | |
| | | 100 | Does the elephant have long or short tusks? | (b) Short | **(a) Long** | Image shows long tusks | |
| | | 279 | Is the elderly person standing or sitting? | (a) Standing | **(b) Sitting** | Image shows person sitting on bench | |
| | | 280 | Is the elderly person standing or sitting? | (b) Sitting | **(a) Standing** | Image shows person standing | |
| |
|
| | ## Dataset Structure |
| |
|
| | | Field | Type | Description | |
| | |-------|------|-------------| |
| | | `Index` | int32 | 1-based sample index (1–300) | |
| | | `Question` | string | The visual question | |
| | | `Options` | string | Answer choices in format `(a) ... (b) ...` | |
| | | `Correct Answer` | string | Ground truth: `(a)` or `(b)` | |
| | | `image` | image | 224×224 RGB image | |
| |
|
| | - **300 samples** organized as **150 pairs** |
| | - Each pair has the same question but opposite correct answers |
| | - Tests 9 visual patterns: orientation, direction, color, counting, etc. |
| |
|
| | ## References |
| |
|
| | - **Paper**: [Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs](https://arxiv.org/abs/2401.06209) |
| | - **Original Repository**: https://github.com/tsb0601/MMVP |
| | - **Original Dataset**: https://huggingface.co/datasets/MMVP/MMVP |
| | - **lmms-eval Task**: https://github.com/EvolvingLMMs-Lab/lmms-eval/tree/main/lmms_eval/tasks/mmvp |
| | |
| | ## Citation |
| | |
| | ```bibtex |
| | @inproceedings{tong2024eyes, |
| | title={Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs}, |
| | author={Tong, Shengbang and Liu, Zhuang and Zhai, Yuexiang and Ma, Yi and LeCun, Yann and Xie, Saining}, |
| | booktitle={CVPR}, |
| | year={2024} |
| | } |
| | ``` |
| | |
