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---
license: apache-2.0
language:
- fa
- en
pretty_name: gendery by name persian
size_categories:
- 10K<n<100K
---
# Persian Gender Detection by Name
A comprehensive dataset for determining gender based on Persian names, enriched with English representations.
## Overview
The **Persian Gender Detection by Name** dataset is the largest of its kind, comprising approximately **27,000** entries. Each entry includes a Persian name, its corresponding gender, and the English transliteration. This dataset is designed to facilitate accurate gender detection and enhance searchability through multiple name representations.
## Features
- **Extensive Data**: ~27,000 name-gender-English tuples.
- **Multiple Representations**: Various spellings and formats for each name to improve search flexibility.
- **High Quality**: Aggregated from reliable sources and meticulously hand-cleaned for accuracy.
- **Expandable**: Plans to incorporate more names and data sources in the future.
## Data Sources
This dataset aggregates information from the following primary sources:
- [Iranian Names Database By Gender](https://github.com/nikahd99/iranian-Names-Database-By-Gender)
- [Persian Names Gender Dataset on Kaggle](https://www.kaggle.com/datasets/misssahar75/persian-names-gender)
- [Persian Names with Gender and Transliteration Data](https://www.kaggle.com/datasets/titanz123/persian-names)
Additionally, supplementary data was scraped and manually cleaned to ensure consistency and completeness.
## Data Structure
The dataset is organized in a CSV format with the following columns:
- **Name**: The Persian name.
- **Gender**: Assigned gender (e.g., Male, Female).
- **English Representation**: The transliterated version of the Persian name.
**Example:**
| Name | Gender | English Representation |
|-------|--------|------------------------|
| علی | M | Ali |
| زهرا | F | Zahra |
## Usage
This dataset is ideal for:
- Developing gender prediction models based on Persian names.
- Academic research in linguistics, gender studies, and natural language processing.
- Enhancing search algorithms with multilingual name representations.
## Future Enhancements
Future updates will focus on:
- Expanding the dataset with additional names and gender associations.
- Incorporating more diverse sources to cover a broader range of names.
- Refining data quality through ongoing cleaning and validation processes.
## Citaion
```
@dataset{bijary_persian_gender_by_name_2024,
author = {Farbod Bijary},
title = {Persian Gender Detection by Name},
year = {2024},
publisher = {Hugging Face},
license = {Apache-2.0},
url = {https://huggingface.co/datasets/farbodbij/persian-gender-by-name},
}
```
## Acknowledgments
Thanks to the contributors of the original datasets and those who assisted in data aggregation and cleaning.
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