annoymous-1/

CC-Bench

CC-Bench is a joint medical-industrial benchmark for evaluating whether multimodal large language models (MLLMs) remain visually grounded when plausible textual context conflicts with image evidence. The benchmark reorganizes public anomaly datasets into a unified four-way multiple-choice QA format for high-risk visual inspection. This repository currently contains:

4,282 images in total 2,157… See the full description on the dataset page: https://huggingface.co/datasets/annoymous-1/CC-Bench.