
# Dataset Card for COVID-19 French News dataset

## 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 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](https://github.com/fhamborg/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 (gustavecortal@gmail.com)

### 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](https://github.com/gustavecortal)
task_categories:text-classification task_ids:topic-classification task_ids:multi-label-classification task_ids:multi-class-classification task_ids:language-modeling annotations_creators:machine-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:fr license:unknown region:us
{"annotations_creators": ["machine-generated"], "language_creators": ["found"], "language": ["fr"], "license": ["unknown"], "multilinguality": ["monolingual"], "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"], "pretty_name": "COVID-19 French News dataset", "language_bcp47": ["fr-FR"]}
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-multi-label-classification #task_ids-multi-class-classification #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-French #license-unknown #region-us 


# 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



### 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. URL)
- '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



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?


### Annotations

#### Annotation process



### 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



### Other Known Limitations



## Additional Information

### Dataset Curators

The data was originally collected by Gustave Cortal (gustavecortal@URL)

### Licensing Information

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





### Contributions

@gustavecortal
# 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 ### 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. URL)
- '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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process ### 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 ### Other Known Limitations ## Additional Information ### Dataset Curators

The data was originally collected by Gustave Cortal (gustavecortal@URL) ### Licensing Information

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

@gustavecortal
TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-multi-label-classification #task_ids-multi-class-classification #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-French #license-unknown #region-us 
 # 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 ### 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. URL)
- '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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process ### 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 ### Other Known Limitations ## Additional Information ### Dataset Curators

The data was originally collected by Gustave Cortal (gustavecortal@URL) ### Licensing Information

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

@gustavecortal
passage: TAGS
#task_categories-text-classification #task_ids-topic-classification #task_ids-multi-label-classification #task_ids-multi-class-classification #task_ids-language-modeling #annotations_creators-machine-generated #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-French #license-unknown #region-us 
# 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### 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. URL)
- 'url': article URL, the original URL where it was scraped
- 'labels': classification labels