NERdME (Version 1.0): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
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资源简介：
NERdME is a scholarly information extraction dataset designed for named entity recognition (NER) from GitHub README files. It contains 200 manually annotated README documents covering ten entity types relevant to scholarly and technical domains, such as software, datasets, and evaluation metrics. The annotations capture entities embedded in free text written in Markdown format, enhancing the accessibility and reusability of research artifacts shared on GitHub.
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Zenodo创建时间：
2025-05-23
