prithivMLmods/MultiImage-Caption

MultiImage-Caption MultiImage-Caption is a multimodal dense captioning dataset featuring 10,602 entries designed for training, supervised fine-tuning (SFT), and evaluating multi-image Vision-Language Models (such as Qwen2-VL, LLaVA-NeXT, and PaliGemma). Each sample pairs an interleaved set of multiple images (images list) with comprehensive, comparative, and granular descriptive captions (response) analyzing the context, subjects, and interactions across all provided images.… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/MultiImage-Caption.