README.md

metadata

annotations_creators:
  - machine-generated
language_creators:
  - found
language:
  - fr-FR
  - fr
license:
  - unknown
multilinguality:
  - monolingual
pretty_name: COVID-19 French News dataset
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - text-classification
  - sequence-modeling
  - conditional-text-generation
task_ids:
  - topic-classification
  - multi-label-classification
  - multi-class-classification
  - language-modeling
  - summarization
  - other-stuctured-to-text

Dataset Card for COVID-19 French News 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:
• Leaderboard:
• Point of Contact:

Dataset Summary

The COVID-19 French News dataset is a French-language dataset containing just over 40k unique news articles from more than 50 different French-speaking online newspapers. The dataset has been prepared using news-please - an integrated web crawler and information extractor for news. The current version supports abstractive summarization and topic classification. Dataset Card not finished yet.

Languages

The text in the dataset is in French.

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

• title: title of the article
• description: description or a summary of the article
• text: the actual article text in raw form
• domain: source domain of the article (i.e. lemonde.fr)
• url: article URL, the original URL where it was scraped
• labels: classification labels

Data Splits

COVID-19 French News dataset has only the training set, i.e. it has to be loaded with train split specified: fr_covid_news = load_dataset('gustavecortal/fr_covid_news', split="train")

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

Annotations

Annotation process

[More Information Needed]

Personal and Sensitive Information

As one can imagine, data contains contemporary public figures or individuals who appeared in the news.

Considerations for Using the Data

Social Impact of Dataset

The purpose of this dataset is to help researchers develop better French topic classification and abstractive summarization models for news related to COVID-19.

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

The data was originally collected by Gustave Cortal ([email protected])

Licensing Information

Usage of the dataset is restricted to non-commercial research purposes only.

Citation Information

@dataset{fr_covid_news,
  author = {Gustave Cortal},
  year = {2022},
  title = {COVID-19 - French News Dataset},
  url = {https://www.gustavecortal.com}
}

Contributions

@gustavecortal