WYLing/VisualSimpleQA
VisualSimpleQA Introduction VisualSimpleQA is a multimodal fact-seeking benchmark with two key features. First, it enables streamlined and decoupled evaluation of LVLMs in visual and linguistic modalities. Second, it incorporates well-defined difficulty criteria to guide human annotation and facilitates the extraction of a challenging subset, VisualSimpleQA-hard. Experiments on 15 LVLMs show that even state-of-the-art models such as GPT-4o achieve merely 60%+… See the full description on the dataset page: https://huggingface.co/datasets/WYLing/VisualSimpleQA.
| Author / organization | WYLing |
|---|---|
| Downloads | 125 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 9 March 2025 |
| Last updated at source | 14 May 2025 |
Recent changes
- 16 Oct 2026 Description: VisualSimpleQA Introduction VisualSimpleQA is a multimodal fact-seeking benchmark with two key features. First, it enables streamlined and decoupled evaluation of LVLMs in visual and linguistic modalities. Second, it incorporates well-defin → VisualSimpleQA Introduction VisualSimpleQA is a multimodal fact-seeking benchmark with two key features. First, it enables streamlined and decoupled evaluation of LVLMs in visual and linguistic modalities. Second, it incorporates well-defin
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