OceanCorpus is a large-scale, multimodal dataset designed to inject structured marine domain knowledge into Large Language Models (LLMs). It aggregates data from three primary sources to support text generation, instruction tuning, and vision-language alignment:
Web Knowledge (Text-Only): A dataset of 113,626 instruction-style QA pairs extracted from Wikipedia and authoritative marine websites, available in Web/data.csv.
Paper… See the full description on the dataset page: https://huggingface.co/datasets/zjunlp/OceanCorpus.