omoured/CHAOS
CHAOS Benchmark: Robustness Testing for Noisy Charts 🌀 Omar Moured, Yufan Chen, Jiaming Zheng, Simon Reiß, Ruiping Liu, Rainer Stiefelhagen [Introduction] What happens when the input is messy—blurred labels, typos, occlusions, or color shifts? 🤔CHAOS (CHart Analysis with Outlier Samples) is the first benchmark purposely designed to stress‑test MLLMs under realistic noise. We: evaluate 10 visual and 5 textual perturbations, each at three increasing severity… See the full description on the dataset page: https://huggingface.co/datasets/omoured/CHAOS.
| Author / organization | omoured |
|---|---|
| License (as declared) | agpl-3.0 |
| Downloads | 159 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 April 2025 |
| Last updated at source | 26 May 2025 |
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