---
license: mit
---

# Visual Haystacks Dataset Card

## Dataset details
Dataset type: Visual Haystacks (VHs) is a benchmark dataset specifically designed to evaluate Large Multimodal Model's (LMM's) capability to handle long-context visual information. It can also be viewed as the first visual-centric Needle-In-A-Haystack (NIAH) benchmark dataset. Please also download COCO-2017's training set validation set.

```
dataset/
└── coco
    ├── annotations
    ├── test2017
    ├── train2017
    └── val2017
```

## Dataset date: VHs was collected in April 2024, directly derived from COCO's image and object annotations.

## Paper or resources for more information: [TODO]

## License: [TODO]

Where to send questions or comments about the model: https://github.com/visual-haystacks/[TODO]/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.