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CITATION.cff

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cff-version: 1.2.0
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message: "If you use this dataset, please cite it using the following metadata."
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title: "The SemEval 2025 LLMs4Subjects Shared Task Dataset"
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title: "The GermEval 2025 2nd LLMs4Subjects Shared Task Dataset"
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version: "1.0.0"
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#doi: "10.1234/dataset-doi" # Replace with the DOI if available
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type: dataset
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type: data
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authors:
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- family-names: "D'Souza"
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given-names: "Jennifer"
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orcid: "https://orcid.org/0000-0002-6616-9509" # Optional
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- family-names: "Sadruddin"
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given-names: "Sameer"
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orcid: "https://orcid.org/0009-0006-7990-9955"
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- family-names: "Israel"
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given-names: "Holger"
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- family-names: "Begoin"
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given-names: "Mathias"
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date-released: "2024-10-03"
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date-released: "2025-03-08"
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url: "https://github.com/sciknoworg/llms4subjects" # GitHub repository URL
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keywords:
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- "subject indexing"

README.md

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llms4subjects [at] gmail.com
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## 💡 Citation
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The recommended citation for this dataset resource is provided below. If you find this resource useful, please consider citing it.
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```bibtex
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@InProceedings{dsouza-EtAl:2025:SemEval2025,
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author = {D'Souza, Jennifer and Sadruddin, Sameer and Israel, Holger and Begoin, Mathias and Slawig, Diana},
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title = {SemEval-2025 Task 5: LLMs4Subjects - LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog},
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booktitle = {Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)},
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month = {August},
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year = {2025},
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address = {Vienna, Austria},
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publisher = {Association for Computational Linguistics},
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pages = {1082--1095},
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url = {https://aclanthology.org/2025.semeval2025-1.139}
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}
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```
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```bibtex
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@misc{D_Souza_The_GermEval_2025_2025,
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author = {D'Souza, Jennifer and Sadruddin, Sameer and Israel, Holger and Begoin, Mathias},
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month = march,
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title = {{The GermEval 2025 2nd LLMs4Subjects Shared Task Dataset}},
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url = {https://github.com/sciknoworg/llms4subjects},
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year = {2025}
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}
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```
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## ⭐ Acknowledgements
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The **LLMs4Subjects** shared task, organized as GermEval 2025, is jointly supported by the [SCINEXT project](https://scinext-project.github.io/) (BMBF, German Federal Ministry of Education and Research, Grant ID: 01lS22070) and the [NFDI4DataScience initiative](https://www.nfdi4datascience.de/) (DFG, German Research Foundation, Grant ID: 460234259).

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