universalner/uner_llm_inst_tagalog
收藏Hugging Face2023-12-20 更新2024-03-04 收录
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https://hf-mirror.com/datasets/universalner/uner_llm_inst_tagalog
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资源简介:
---
license: cc-by-sa-4.0
language:
- tl
task_categories:
- token-classification
dataset_info:
- config_name: tl_trg
splits:
- name: test
num_examples: 127
- config_name: tl_ugnayan
splits:
- name: test
num_examples: 93
---
# Dataset Card for Universal NER v1 in the Aya format - Tagalog subset
This dataset is a format conversion for the Tagalog 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}
}
```
提供机构:
universalner
原始信息汇总
数据集卡片 - 通用NER v1的Aya格式 - 塔加洛语子集
数据集详情
许可证
- CC-BY-SA 4.0
语言
- 塔加洛语 (tl)
任务类别
- 标记分类 (token-classification)
数据集配置
-
config_name: tl_trg
- 分割:
- 名称: test
- 样本数量: 127
- 分割:
-
config_name: tl_ugnayan
- 分割:
- 名称: test
- 样本数量: 93
- 分割:
引用
- 如果使用此数据集版本,请引用原始数据集出版物。
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} }



