Datasets:
File size: 4,131 Bytes
f6d41a7 557b017 f422d8f 557b017 f6d41a7 5e8f91d f6d41a7 5e8f91d f6d41a7 4a83b8c f6d41a7 3f3c9f0 f6d41a7 33646a0 f6d41a7 4a83b8c f6d41a7 3f3c9f0 f6d41a7 3f3c9f0 f6d41a7 3f3c9f0 f6d41a7 1ca95d2 f6d41a7 1ca95d2 f6d41a7 33646a0 f6d41a7 9ab0d70 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 |
---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- fr
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text2text-generation
- text-generation
- tabular-to-text
- summarization
- text-classification
task_ids:
- language-modeling
- multi-class-classification
- multi-label-classification
- topic-classification
pretty_name: COVID-19 French News dataset
language_bcp47:
- fr-FR
tags:
- conditional-text-generation
---
# 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) |