khalidalt/SANAD

---
license: cc-by-4.0
---

# Dataset Card for SANAD

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:https://data.mendeley.com/datasets/57zpx667y9/2**

### Dataset Summary

SANAD Dataset is a large collection of Arabic news articles that can be used in different Arabic NLP tasks such as Text Classification and Word Embedding. The articles were collected using Python scripts written specifically for three popular news websites: AlKhaleej, AlArabiya and Akhbarona. All datasets have seven categories [Culture, Finance, Medical, Politics, Religion, Sports and Tech], except AlArabiya which doesn’t have [Religion]. SANAD contains a total number of 190k+ articles.

### 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

license: cc-by-4.0

### Citation Information
```
@article{einea2019sanad,
title={Sanad: Single-label arabic news articles dataset for automatic text categorization},
author={Einea, Omar and Elnagar, Ashraf and Al Debsi, Ridhwan},
journal={Data in brief},
volume={25},
pages={104076},
year={2019},
publisher={Elsevier}
}
```

### Contributions

原始信息汇总

数据集卡片 for SANAD

数据集描述

数据集概要

SANAD数据集是一个大型阿拉伯新闻文章集合，可用于不同的阿拉伯自然语言处理任务，如文本分类和词嵌入。这些文章是通过专门为三个流行新闻网站（AlKhaleej、AlArabiya和Akhbarona）编写的Python脚本收集的。所有数据集都有七个类别[文化、财经、医疗、政治、宗教、体育和技术]，除了AlArabiya没有[宗教]类别。SANAD包含总共超过190,000篇文章。

支持的任务和排行榜

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语言

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数据集结构

数据实例

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数据字段

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数据分割

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数据集创建

策划理由

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源数据

初始数据收集和规范化

[更多信息需补充]

源语言生产者是谁？

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注释

注释过程

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注释者是谁？

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个人和敏感信息

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使用数据集的注意事项

数据集的社会影响

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偏见的讨论

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其他已知限制

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附加信息

数据集策展人

[更多信息需补充]

许可信息

license: cc-by-4.0

引用信息

@article{einea2019sanad, title={Sanad: Single-label arabic news articles dataset for automatic text categorization}, author={Einea, Omar and Elnagar, Ashraf and Al Debsi, Ridhwan}, journal={Data in brief}, volume={25}, pages={104076}, year={2019}, publisher={Elsevier} }

贡献

[更多信息需补充]