Orlando Information Extraction Dataset: Language Resources From Prominent Born-Digital Humanities Texts

An annotated dataset created by computer scientists and digital humanists intended to serve as a reference point for NLP researchers. The dataset is derived from text of the Orlando Project, and contains thousands of multi-sentence excerpts that are suited for information extraction tasks such as entity linking, and relation extraction. As a whole, the dataset can be used for fine-tuning and benchmarking large language models. The dataset is further described in Language Resources From Prominent Born-Digital Humanities Texts are Still Needed in the Age of LLMs (Hervieux et al., NLP4DH 2024).