NERdME (Version 1.1): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
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Zenodo
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| Auteurs principaux: | , , , , , , |
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902327563124736 |
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| author | Gesese, Genet Asefa Chen, Zongxiong JIANG, Shufan Tan, Mary Ann Liu, Zhaotai Schimmler, Sonja Sack, Harald |
| author_facet | Gesese, Genet Asefa Chen, Zongxiong JIANG, Shufan Tan, Mary Ann Liu, Zhaotai Schimmler, Sonja Sack, Harald |
| contents | <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17571420 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | NERdME (Version 1.1): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories Gesese, Genet Asefa Chen, Zongxiong JIANG, Shufan Tan, Mary Ann Liu, Zhaotai Schimmler, Sonja Sack, Harald <p>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.</p> |
| title | NERdME (Version 1.1): a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories |
| url | https://doi.org/10.5281/zenodo.17571420 |