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Datasets:
Amir13
/
ontonotes5-persian

Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
Persian
Size:
10K - 100K
ArXiv:
Tags:
named entity recognition
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
ontonotes5-persian
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---
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]