task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:machine-generated multilinguality:monolingual size_categories:1K<n<10K source_datasets:extended|ncbi_disease language:fa license:other named entity recognition arxiv:2302.09611 region:us
---
annotations_creators:
- expert-generated
language:
- fa
language_creators:
- machine-generated
license:
- other
multilinguality:
- monolingual
pretty_name: ncbi-persian
size_categories:
- 1K<n<10K
source_datasets:
- extended|ncbi_disease
tags:
- named entity recognition
task_categories:
- token-classification
task_ids:
- named-entity-recognition
train-eval-index:
- col_mapping:
    ner_tags: target
    tokens: text
  config: ncbi_disease
  metrics:
  - name: Accuracy
    type: accuracy
  - args:
      average: macro
    name: F1 macro
    type: f1
  - args:
      average: micro
    name: F1 micro
    type: f1
  - args:
      average: weighted
    name: F1 weighted
    type: f1
  - args:
      average: macro
    name: Precision macro
    type: precision
  - args:
      average: micro
    name: Precision micro
    type: precision
  - args:
      average: weighted
    name: Precision weighted
    type: precision
  - args:
      average: macro
    name: Recall macro
    type: recall
  - args:
      average: micro
    name: Recall micro
    type: recall
  - args:
      average: weighted
    name: Recall weighted
    type: recall
  splits:
    eval_split: test
    train_split: train
  task: token-classification
---

# 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

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### 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]
