NingLab/EcomMMMU

Introduction EcomMMMU is a large-scale multimodal multitask understanding dataset for e-commerce applications, containing 406,190 samples and 8,989,510 product images across 34 product categories. It is designed to systematically evaluate how multimodal large language models (MLLMs) utilize visual information in real-world shopping scenarios. Unlike prior datasets that treat all images equally, EcomMMMU explicitly investigates when and how multiple product images contribute… See the full description on the dataset page: https://huggingface.co/datasets/NingLab/EcomMMMU.