---
annotations_creators:
- crowdsourced
language:
- fa
language_creators:
- machine-generated
license:
- other
multilinguality:
- monolingual
pretty_name: conll2003-persian
size_categories:
- 10K<n<100K
source_datasets:
- extended|conll2003
tags:
- named entity recognition
task_categories:
- token-classification
task_ids:
- named-entity-recognition
train-eval-index:
- col_mapping:
    ner_tags: tags
    tokens: tokens
  config: conll2003
  metrics:
  - name: seqeval
    type: seqeval
  splits:
    eval_split: test
    train_split: train
  task: token-classification
  task_id: entity_extraction
---

# Dataset Card for Dataset Name

## Dataset Description

- **Homepage:** 
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### 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

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## Dataset Structure

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## Dataset Creation

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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

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