
# Dataset Card for Goud summarization dataset

## 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:**[Needs More Information]
- **Repository:**[Needs More Information]
- **Paper:**[Goud.ma: a News Article Dataset for Summarization in Moroccan Darija](https://openreview.net/forum?id=BMVq5MELb9)
- **Leaderboard:**[Needs More Information]
- **Point of Contact:**[Needs More Information]

### Dataset Summary

Goud-sum contains 158k articles and their headlines extracted from [Goud.ma](https://www.goud.ma/) news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija).

### Supported Tasks and Leaderboards

Text Summarization

### Languages

* Moroccan Arabic (Darija)
* Modern Standard Arabic 

## Dataset Structure

### Data Instances

The dataset consists of article-headline pairs in string format.

### Data Fields

* article: a string containing the body of the news article
* headline: a string containing the article's headline
* categories: a list of string of article categories

### Data Splits

Goud-sum dataset has 3 splits: _train_, _validation_, and _test_. Below are the number of instances in each split.

| Dataset Split | Number of Instances in Split                |
| ------------- | ------------------------------------------- |
| Train         | 139,288                                     |
| Validation    | 9,497                                       |
| Test          | 9,497                                       |

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

The text was written by journalists at [Goud](https://www.goud.ma/).

### Annotations
The dataset does not contain any additional annotations.

#### Annotation process

[N/A]

#### Who are the annotators?

[N/A]

### 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{issam2022goudma,
title={Goud.ma: a News Article Dataset for Summarization in Moroccan Darija},
author={Abderrahmane Issam and Khalil Mrini},
booktitle={3rd Workshop on African Natural Language Processing},
year={2022},
url={https://openreview.net/forum?id=BMVq5MELb9}
}
```

### Contributions

Thanks to [@issam9](https://github.com/issam9) and [@KhalilMrini](https://github.com/KhalilMrini) for adding this dataset.

task_categories:summarization task_ids:news-articles-headline-generation annotations_creators:no-annotation language_creators:machine-generated size_categories:100K<n<1M source_datasets:original region:us
{"annotations_creators": ["no-annotation"], "language_creators": ["machine-generated"], "language": [], "license": [], "multilinguality": [], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["summarization"], "task_ids": ["news-articles-headline-generation"], "pretty_name": "Goud-sum"}
TAGS
#task_categories-summarization #task_ids-news-articles-headline-generation #annotations_creators-no-annotation #language_creators-machine-generated #size_categories-100K<n<1M #source_datasets-original #region-us 

Dataset Card for Goud summarization dataset
===========================================


Table of Contents
-----------------


* Table of Contents
* Dataset Description
	+ Dataset Summary
	+ Supported Tasks and Leaderboards
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Dataset Creation
	+ Curation Rationale
	+ Source Data
	+ Annotations
	+ Personal and Sensitive Information
* Considerations for Using the Data
	+ Social Impact of Dataset
	+ Discussion of Biases
	+ Other Known Limitations
* Additional Information
	+ Dataset Curators
	+ Licensing Information
	+ Citation Information
	+ Contributions


Dataset Description
-------------------


* Homepage:
* Repository:
* Paper:URL: a News Article Dataset for Summarization in Moroccan Darija
* Leaderboard:
* Point of Contact:


### Dataset Summary


Goud-sum contains 158k articles and their headlines extracted from URL news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija).


### Supported Tasks and Leaderboards


Text Summarization


### Languages


* Moroccan Arabic (Darija)
* Modern Standard Arabic


Dataset Structure
-----------------


### Data Instances


The dataset consists of article-headline pairs in string format.


### Data Fields


* article: a string containing the body of the news article
* headline: a string containing the article's headline
* categories: a list of string of article categories


### Data Splits


Goud-sum dataset has 3 splits: *train*, *validation*, and *test*. Below are the number of instances in each split.



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


The text was written by journalists at Goud.


### Annotations


The dataset does not contain any additional annotations.


#### Annotation process


[N/A]


#### Who are the annotators?


[N/A]


### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------


### Social Impact of Dataset


### Discussion of Biases


### Other Known Limitations


Additional Information
----------------------


### Dataset Curators


### Licensing Information


### Contributions


Thanks to @issam9 and @KhalilMrini for adding this dataset.



### Dataset Summary


Goud-sum contains 158k articles and their headlines extracted from URL news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija). ### Supported Tasks and Leaderboards


Text Summarization ### Languages


* Moroccan Arabic (Darija)
* Modern Standard Arabic


Dataset Structure
----------------- ### Data Instances


The dataset consists of article-headline pairs in string format. ### Data Fields


* article: a string containing the body of the news article
* headline: a string containing the article's headline
* categories: a list of string of article categories ### Data Splits


Goud-sum dataset has 3 splits: *train*, *validation*, and *test*. Below are the number of instances in each split.



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers?


The text was written by journalists at Goud. ### Annotations


The dataset does not contain any additional annotations. #### Annotation process


[N/A] #### Who are the annotators?


[N/A] ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @issam9 and @KhalilMrini for adding this dataset.
TAGS
#task_categories-summarization #task_ids-news-articles-headline-generation #annotations_creators-no-annotation #language_creators-machine-generated #size_categories-100K<n<1M #source_datasets-original #region-us 
 ### Dataset Summary


Goud-sum contains 158k articles and their headlines extracted from URL news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija). ### Supported Tasks and Leaderboards


Text Summarization ### Languages


* Moroccan Arabic (Darija)
* Modern Standard Arabic


Dataset Structure
----------------- ### Data Instances


The dataset consists of article-headline pairs in string format. ### Data Fields


* article: a string containing the body of the news article
* headline: a string containing the article's headline
* categories: a list of string of article categories ### Data Splits


Goud-sum dataset has 3 splits: *train*, *validation*, and *test*. Below are the number of instances in each split.



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers?


The text was written by journalists at Goud. ### Annotations


The dataset does not contain any additional annotations. #### Annotation process


[N/A] #### Who are the annotators?


[N/A] ### Personal and Sensitive Information


Considerations for Using the Data
--------------------------------- ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations


Additional Information
---------------------- ### Dataset Curators ### Licensing Information ### Contributions


Thanks to @issam9 and @KhalilMrini for adding this dataset.