arbml/AutoTweet

# Dataset Card for AutoTweet

## 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: [info]**
- **Repository: [info]**
- **Paper: [info]**
- **Leaderboard: [info]**
- **Point of Contact: [info]**

### Dataset Summary

[More Information Needed]

### 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

```
@InProceedings{10.1007/978-3-319-28940-3_10,
author="Almerekhi, Hind
and Elsayed, Tamer",
editor="Zuccon, Guido
and Geva, Shlomo
and Joho, Hideo
and Scholer, Falk
and Sun, Aixin
and Zhang, Peng",
title="Detecting Automatically-Generated Arabic Tweets",
booktitle="Information Retrieval Technology",
year="2015",
publisher="Springer International Publishing",
address="Cham",
pages="123--134",
abstract="Recently, Twitter, one of the most widely-known social media platforms, got infiltrated by several automation programs, commonly known as ``bots''. Bots can be easily abused to spread spam and hinder information extraction applications by posting lots of automatically-generated tweets that occupy a good portion of the continuous stream of tweets. This problem heavily affects users in the Arab region due to the recent developing political events as automated tweets can disturb communication and waste time needed in filtering such tweets.",
isbn="978-3-319-28940-3"
}
```

### Contributions

Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

原始信息汇总

数据集卡片：AutoTweet

数据集描述

数据集摘要

[更多信息需补充]

支持的任务和排行榜

[更多信息需补充]

语言

[更多信息需补充]

数据集结构

数据实例

[更多信息需补充]

数据字段

[更多信息需补充]

数据分割

[更多信息需补充]

数据集创建

策划理由

[更多信息需补充]

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

[更多信息需补充]

注释

注释过程

[更多信息需补充]

注释者

[更多信息需补充]

个人和敏感信息

[更多信息需补充]

使用数据集的注意事项

数据集的社会影响

[更多信息需补充]

偏见的讨论

[更多信息需补充]

其他已知限制

[更多信息需补充]

附加信息

数据集策展人

[更多信息需补充]

许可信息

[更多信息需补充]

引用信息

@InProceedings{10.1007/978-3-319-28940-3_10, author="Almerekhi, Hind and Elsayed, Tamer", editor="Zuccon, Guido and Geva, Shlomo and Joho, Hideo and Scholer, Falk and Sun, Aixin and Zhang, Peng", title="Detecting Automatically-Generated Arabic Tweets", booktitle="Information Retrieval Technology", year="2015", publisher="Springer International Publishing", address="Cham", pages="123--134", abstract="Recently, Twitter, one of the most widely-known social media platforms, got infiltrated by several automation programs, commonly known as ``bots. Bots can be easily abused to spread spam and hinder information extraction applications by posting lots of automatically-generated tweets that occupy a good portion of the continuous stream of tweets. This problem heavily affects users in the Arab region due to the recent developing political events as automated tweets can disturb communication and waste time needed in filtering such tweets.", isbn="978-3-319-28940-3" }

贡献

感谢 @github-username 添加此数据集。