Guo1115/SportMM-LT

SportMM-LT English | 中文说明 English SportMM-LT is a multimodal benchmark for evaluating long-tail sports knowledge in vision-language models. It contains 421 image-question-answer samples across three sports domains: basketball football table tennis Dataset Overview SportMM-LT is designed to evaluate whether vision-language models can answer fine-grained, domain-specific sports questions from images. The benchmark focuses on long-tail knowledge that… See the full description on the dataset page: https://huggingface.co/datasets/Guo1115/SportMM-LT.