universalner/uner_llm_inst_portuguese

---
license: cc-by-sa-4.0
language:
- pt
task_categories:
- token-classification
dataset_info:
- config_name: pt_pud
splits:
- name: test
num_examples: 999
- config_name: pt_bosque
splits:
- name: test
num_examples: 1166
- name: dev
num_examples: 1171
- name: train
num_examples: 4302
---

# Dataset Card for Universal NER v1 in the Aya format - Portuguese subset

This dataset is a format conversion for the Portuguese 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 - 葡萄牙子集的通用NER v1（Aya格式）

数据集详情

许可证

• CC-BY-SA 4.0

语言

• 葡萄牙语

任务类别

• 标记分类

配置信息

• pt_pud

  • 分割：
    • 测试集：999个样本

• pt_bosque

  • 分割：
    • 测试集：1166个样本
    • 开发集：1171个样本
    • 训练集：4302个样本

引用

• 如果使用此数据集版本，请引用原始数据集出版物，并可引用完整版本的链接：https://huggingface.co/datasets/universalner/uner_llm_instructions

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} }