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# 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 **22,000** 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**: ~22,000 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)

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.

## Acknowledgments

Thanks to the contributors of the original datasets and those who assisted in data aggregation and cleaning.

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  size_categories:
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+ # Persian Gender Detection by Name
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+
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+ A comprehensive dataset for determining gender based on Persian names, enriched with English representations.
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+
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+ ## Overview
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+
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+ The **Persian Gender Detection by Name** dataset is the largest of its kind, comprising approximately **22,000** 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.
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+
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+ ## Features
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+
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+ - **Extensive Data**: ~22,000 name-gender-English tuples.
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+ - **Multiple Representations**: Various spellings and formats for each name to improve search flexibility.
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+ - **High Quality**: Aggregated from reliable sources and meticulously hand-cleaned for accuracy.
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+ - **Expandable**: Plans to incorporate more names and data sources in the future.
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+
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+ ## Data Sources
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+
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+ This dataset aggregates information from the following primary sources:
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+
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+ - [Iranian Names Database By Gender](https://github.com/nikahd99/iranian-Names-Database-By-Gender)
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+ - [Persian Names Gender Dataset on Kaggle](https://www.kaggle.com/datasets/misssahar75/persian-names-gender)
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+
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+ Additionally, supplementary data was scraped and manually cleaned to ensure consistency and completeness.
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+
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+ ## Data Structure
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+
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+ The dataset is organized in a CSV format with the following columns:
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+
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+ - **Name**: The Persian name.
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+ - **Gender**: Assigned gender (e.g., Male, Female).
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+ - **English Representation**: The transliterated version of the Persian name.
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+
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+ **Example:**
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+
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+ | Name | Gender | English Representation |
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+ |-------|--------|------------------------|
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+ | علی | M | Ali |
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+ | زهرا | F | Zahra |
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+
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+ ## Usage
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+
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+ This dataset is ideal for:
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+
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+ - Developing gender prediction models based on Persian names.
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+ - Academic research in linguistics, gender studies, and natural language processing.
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+ - Enhancing search algorithms with multilingual name representations.
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+
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+ ## Future Enhancements
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+
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+ Future updates will focus on:
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+
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+ - Expanding the dataset with additional names and gender associations.
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+ - Incorporating more diverse sources to cover a broader range of names.
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+ - Refining data quality through ongoing cleaning and validation processes.
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+
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+ ## Acknowledgments
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+
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+ Thanks to the contributors of the original datasets and those who assisted in data aggregation and cleaning.