---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: id
    dtype: int64
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 329002522
    num_examples: 139288
  - name: validation
    num_bytes: 22449821
    num_examples: 9497
  - name: test
    num_bytes: 22447355
    num_examples: 9497
  download_size: 170777466
  dataset_size: 373899698
license: apache-2.0
task_categories:
- summarization
language:
- ar
size_categories:
- 100K<n<1M
---
# Dataset Card for Goud-Sum-Instruct

Goud-Sum-Instruct is a meticulously curated dataset originating from [Goud-sum](https://huggingface.co/datasets/Goud/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.

## 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-Instruct 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-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](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 the original [dataset](https://huggingface.co/datasets/Goud/Goud-sum)