Create README.md

README.md

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+---
+annotations_creators:
+- no-annotation
+language_creators:
+- machine-generated
+languages: []
+licenses: []
+multilinguality: []
+pretty_name: Goud-sum
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+task_categories:
+- summarization
+task_ids:
+- news-articles-headline-generation
+---
+
+# Dataset Card for [Goud-sum]
+
+## 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 Card for [Goud-sum]
+
+## Dataset Description
+
+- **Homepage:**
+- **Repository:**
+- **Paper:[Goud.ma: a News Article Dataset for Summarization in Moroccan Darija](https://openreview.net/forum?id=BMVq5MELb9)**
+- **Leaderboard:**
+- **Point of Contact:**
+
+### 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
+
+### 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.