Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
csv
Sub-tasks:
news-articles-headline-generation
Size:
100K - 1M
parquet-converter
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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- machine-generated
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language: []
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license: []
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multilinguality: []
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pretty_name: Goud-sum
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size_categories:
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- 100K<n<1M
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source_datasets:
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- original
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task_categories:
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- summarization
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task_ids:
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- news-articles-headline-generation
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---
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# Dataset Card for Goud summarization dataset
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:**[Needs More Information]
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- **Repository:**[Needs More Information]
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- **Paper:**[Goud.ma: a News Article Dataset for Summarization in Moroccan Darija](https://openreview.net/forum?id=BMVq5MELb9)
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- **Leaderboard:**[Needs More Information]
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- **Point of Contact:**[Needs More Information]
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### Dataset Summary
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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).
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### Supported Tasks and Leaderboards
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Text Summarization
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### Languages
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* Moroccan Arabic (Darija)
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* Modern Standard Arabic
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## Dataset Structure
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### Data Instances
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The dataset consists of article-headline pairs in string format.
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### Data Fields
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* article: a string containing the body of the news article
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* headline: a string containing the article's headline
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* categories: a list of string of article categories
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### Data Splits
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Goud-sum dataset has 3 splits: _train_, _validation_, and _test_. Below are the number of instances in each split.
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| Dataset Split | Number of Instances in Split |
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| ------------- | ------------------------------------------- |
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| Train | 139,288 |
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| Validation | 9,497 |
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| Test | 9,497 |
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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The text was written by journalists at [Goud](https://www.goud.ma/).
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### Annotations
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The dataset does not contain any additional annotations.
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#### Annotation process
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[N/A]
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#### Who are the annotators?
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[N/A]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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```
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@inproceedings{issam2022goudma,
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title={Goud.ma: a News Article Dataset for Summarization in Moroccan Darija},
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author={Abderrahmane Issam and Khalil Mrini},
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booktitle={3rd Workshop on African Natural Language Processing},
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year={2022},
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url={https://openreview.net/forum?id=BMVq5MELb9}
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}
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```
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### Contributions
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Thanks to [@issam9](https://github.com/issam9) and [@KhalilMrini](https://github.com/KhalilMrini) for adding this dataset.
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