Add dataset card with ground truth correction documentation

README.md

@@ -22,4 +22,65 @@ configs:
   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}
+}
+```