Dataset Card for Goud-Sum-Instruct

Goud-Sum-Instruct is a meticulously curated dataset originating from Goud-sum dataset, This dataset is primed for fine-tuning chat and instruct models, without any compromise to the existing training mode. This strategic approach enables the specific training of models to respond effectively to the main instruction which is "To Summarise". In conclusion, this dataset is meant to finetune a chat model in order to serve later as a summarizer.

Dataset Summary

Goud-Sum-Instruct contains 158k articles and their headlines extracted from 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-Instruct 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.

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 and @KhalilMrini for adding the original dataset