S1-MMAlign

S1-MMAlign A Large-Scale Multi-Disciplinary Scientific Multimodal Dataset S1-MMAlign is a large-scale, multi-disciplinary multimodal dataset comprising over 15.5 million high-quality image-text pairs derived from 2.5 million open-access scientific papers. Multimodal learning has revolutionized general domain tasks, yet its application in scientific discovery is hindered by the profound semantic gap between complex scientific imagery and sparse textual descriptions. S1-MMAlign aims to… See the full description on the dataset page:

Source: Hugging Face Hub (ScienceOne-AI/S1-MMAlign). Metadata imported from the dataset’s Hub tags.