| license: mit | |
| # Visual Haystacks Dataset Card | |
| ## Dataset details | |
| 1. Dataset type: Visual Haystacks (VHs) is a benchmark dataset specifically designed to evaluate the Large Multimodal Model's (LMM's) capability to handle long-context visual information. It can also be viewed as the first vision-centric Needle-In-A-Haystack (NIAH) benchmark dataset. Please also download COCO-2017's training set validation set. | |
| 2. Data Preparation and Benchmarking | |
| - Download the VQA questions: | |
| ``` | |
| huggingface-cli download --repo-type dataset tsunghanwu/visual_haystacks --local-dir dataset/VHs_qa | |
| ``` | |
| - Download the COCO 2017 dataset and organize it as follows, with the default root directory ./dataset/coco: | |
| ``` | |
| dataset/ | |
| ├── coco | |
| │ ├── annotations | |
| │ ├── test2017 | |
| │ └── val2017 | |
| └── VHs_qa | |
| ├── single_needle | |
| │ ├── VHs_large | |
| │ └── VHs_small | |
| └── multi_needle | |
| ├── multi_needle_2 | |
| └── multi_needle_3 | |
| ``` | |
| - Follow the instructions in https://github.com/visual-haystacks/vhs_benchmark to run the evaluation | |
| 3. Please check out our [project page](https://visual-haystacks.github.io) for more information. You can also send questions or comments about the model to [our github repo](https://github.com/visual-haystacks/vhs_benchmark/issues) | |
| ## Intended use | |
| Primary intended uses: The primary use of VHs is research on large multimodal models and chatbots. | |
| Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. |