zlab-princeton/WorldBench
WorldBench: A Challenging and Visually Diverse Multimodal Reasoning Benchmark WorldBench is a visually diverse multimodal reasoning benchmark for evaluating whether modern Multimodal Large Language Models (MLLMs) can reason across the breadth of the visual world. The benchmark is organized around a broad visual taxonomy spanning seven domains: Living Things, Objects, Scenes, Digital World, Academics, Documents/Charts/Tables, and Agents. This Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/zlab-princeton/WorldBench.
| Author / organization | zlab-princeton |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 3 June 2026 |
| Last updated at source | 8 June 2026 |
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