| # Card of Dataset for Multimodal Large Language Model | |
| ## Dataset details and sources | |
| This dataset is constructed using publicly available instruction tuning datasets, including COCO, ScienceQA, VizWiz, ImageNet, VQAv2, ImageNet-R, Flickr30k, OCRVQA, Screen2words and TabMWP. | |
| ### Seen datasets for merging | |
| | Dataset | Image Source | Download Path | | |
| | :----: | :----: | :----: | | |
| | ScienceQA | ScienceQA | [images](https://drive.google.com/drive/folders/1w8imCXWYn2LxajmGeGH_g5DaL2rabHev) | | |
| | VizWiz | VizWiz | [images](https://opendatalab.org.cn/OpenDataLab/VizWiz-Captions) | | |
| | ImageNet | ImageNet | [images](https://image-net.org/challenges/LSVRC/index.php) | | |
| | VQAv2, Flickr30k | COCO2014 | [images](http://images.cocodataset.org/zips/train2014.zip) | | |
| | IconQA | IconQA | [images](https://iconqa2021.s3.us-west-1.amazonaws.com/iconqa_data.zip) | | |
| | Flickr30k | Flickr30k | [images](https://github.com/BryanPlummer/flickr30k_entities) | | |
| | OCRVQA | OCRVQA | [images](https://drive.google.com/drive/folders/1_GYPY5UkUy7HIcR0zq3ZCFgeZN7BAfm_) | | |
| ### Unseen datasets for merging | |
| | Dataset | Image Source | Download Path | | |
| | :----: | :----: | :----: | | |
| | AOKVQA | COCO2014 | [images](http://images.cocodataset.org/zips/val2014.zip) | | |
| | ImageNet-R | ImageNet-R | [images](https://people.eecs.berkeley.edu/~hendrycks/imagenet-r.tar) | | |
| | Screen2words | Screen2words | [images](https://huggingface.co/datasets/pinkmooncake/rico-screen2words) | | |
| | TabMWP | TabMWP | [images](https://github.com/lupantech/PromptPG/tree/main/data/tabmwp)| | |
| Please download these datasets before proceeding with instruction tuning. | |
| ----------------------------------------------------------------------------------------------------------------- | |
| ## **RobustMerge** | |
| Paper: [RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness](https://arxiv.org/abs/2502.17159) | |
| Code: [github.com/AuroraZengfh/RobustMerge](https://github.com/AuroraZengfh/RobustMerge) | |
| If you find this work useful, consider citing our paper as follows: | |
| ```bibtex | |
| @article{zeng2025parameter, | |
| title={RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness}, | |
| author={Zeng, Fanhu and Guo, Haiyang and Zhu, Fei and Shen, Li and Tang, Hao}, | |
| journal={arXiv preprint arXiv:2502.17159}, | |
| year={2025} | |
| } | |
| ``` | |
| --- | |
| license: mit | |
| --- | |