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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -568,6 +568,7 @@ This is the first work to correct hallucination in multimodal large language mod
## Datasets of Multimodal Instruction Tuning
| Name | Paper | Link | Notes |
|:-----|:-----:|:----:|:-----:|
| **MSQA** | [Multi-modal Situated Reasoning in 3D Scenes](https://arxiv.org/pdf/2409.02389) | [Link](https://msr3d.github.io/) | A large scale dataset for multi-modal situated reasoning in 3D scenes.|
| **UNK-VQA** | [UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models](https://arxiv.org/pdf/2310.10942) | [Link](https://github.com/guoyang9/UNK-VQA) | A dataset designed to teach models to refrain from answering unanswerable questions |
| **VEGA** | [VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models](https://arxiv.org/pdf/2406.10228) | [Link](https://github.com/zhourax/VEGA) | A dataset for enhancing model capabilities in comprehension of interleaved information |
| **ALLaVA-4V** | [ALLaVA: Harnessing GPT4V-synthesized Data for A Lite Vision-Language Model](https://arxiv.org/pdf/2402.11684.pdf) | [Link](https://huggingface.co/datasets/FreedomIntelligence/ALLaVA-4V) | Vision and language caption and instruction dataset generated by GPT4V |
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