universalner/uner_llm_inst_german

--- license: cc-by-sa-4.0 language: - de task_categories: - token-classification dataset_info: - config_name: de_pud splits: - name: test num_examples: 999 --- # Dataset Card for Universal NER v1 in the Aya format - German subset This dataset is a format conversion for the German data in the original Universal NER v1 into the Aya instruction format and it's released here under the same CC-BY-SA 4.0 license and conditions. The dataset contains different subsets and their dev/test/train splits, depending on language. For more details, please refer to: ## Dataset Details For the original Universal NER dataset v1 and more details, please check https://huggingface.co/datasets/universalner/universal_ner. For details on the conversion to the Aya instructions format, please see the complete version: https://huggingface.co/datasets/universalner/uner_llm_instructions ## Citation If you utilize this dataset version, feel free to cite/footnote the complete version at https://huggingface.co/datasets/universalner/uner_llm_instructions, but please also cite the *original dataset publication*. **BibTeX:** ``` @preprint{mayhew2023universal, title={{Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark}}, author={Stephen Mayhew and Terra Blevins and Shuheng Liu and Marek Šuppa and Hila Gonen and Joseph Marvin Imperial and Börje F. Karlsson and Peiqin Lin and Nikola Ljubešić and LJ Miranda and Barbara Plank and Arij Riabi and Yuval Pinter}, year={2023}, eprint={2311.09122}, archivePrefix={arXiv}, primaryClass={cs.CL} } ```

原始信息汇总

数据集卡片 for Universal NER v1 in the Aya format - German subset

数据集详情

许可证

• CC-BY-SA 4.0

语言

• 德语

任务类别

• 标记分类

数据集信息

• 配置名称: de_pud
• 拆分:
  • 名称: test
  • 样本数量: 999

引用

如果使用此数据集版本，请引用原始数据集出版物，并可引用完整版本：

BibTeX:

@preprint{mayhew2023universal, title={{Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark}}, author={Stephen Mayhew and Terra Blevins and Shuheng Liu and Marek Šuppa and Hila Gonen and Joseph Marvin Imperial and Börje F. Karlsson and Peiqin Lin and Nikola Ljubešić and LJ Miranda and Barbara Plank and Arij Riabi and Yuval Pinter}, year={2023}, eprint={2311.09122}, archivePrefix={arXiv}, primaryClass={cs.CL} }