Amir13/ontonotes5-persian

---
annotations_creators:
- expert-generated
language:
- fa
language_creators:
- machine-generated
license:
- other
multilinguality:
- monolingual
pretty_name: ontonotes5-persian
size_categories:
- 10K<n<100K
source_datasets:
- extended|conll2012_ontonotesv5
tags:
- named entity recognition
task_categories:
- token-classification
task_ids:
- named-entity-recognition
---
# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:**
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

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## Dataset Structure

### Data Instances

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### Data Fields

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### Data Splits

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## Dataset Creation

### Curation Rationale

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### Source Data

#### Initial Data Collection and Normalization

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#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

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#### Who are the annotators?

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### Personal and Sensitive Information

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## Considerations for Using the Data

### Social Impact of Dataset

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### Discussion of Biases

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### Other Known Limitations

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## Additional Information

### Dataset Curators

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### Licensing Information

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### Citation Information

If you used the datasets and models in this repository, please cite it.

```bibtex
@misc{https://doi.org/10.48550/arxiv.2302.09611,
doi = {10.48550/ARXIV.2302.09611},
url = {https://arxiv.org/abs/2302.09611},
author = {Sartipi, Amir and Fatemi, Afsaneh},
keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English},
publisher = {arXiv},
year = {2023},
copyright = {arXiv.org perpetual, non-exclusive license}
}
```

### Contributions

[More Information Needed]

原始信息汇总

数据集概述

基本信息

• 数据集名称: ontonotes5-persian
• 语言: 波斯语 (fa)
• 语言创建者: 机器生成
• 标注创建者: 专家生成
• 许可证: 其他
• 多语种性: 单语种
• 数据集大小: 10K<n<100K
• 源数据集: 扩展自 conll2012_ontonotesv5
• 标签: 命名实体识别
• 任务类别: 标记分类
• 任务ID: 命名实体识别

引用信息

bibtex @misc{https://doi.org/10.48550/arxiv.2302.09611, doi = {10.48550/ARXIV.2302.09611}, url = {https://arxiv.org/abs/2302.09611}, author = {Sartipi, Amir and Fatemi, Afsaneh}, keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Exploring the Potential of Machine Translation for Generating Named Entity Datasets: A Case Study between Persian and English}, publisher = {arXiv}, year = {2023}, copyright = {arXiv.org perpetual, non-exclusive license} }