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---
annotations_creators:
- private
language_creators: null
languages:
- fr-FR
licenses:
- cc-by-nc-sa-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
- newspaper
- online
task_categories:
- question-answering
task_ids:
- extractive-qa
- open-domain-qa
paperswithcode_id: null
---
# Dataset Card for newsquadfr
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-instances)
- [Data Splits](#data-instances)
- [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)
## Dataset Description
- **Homepage:** [lincoln.fr](https://www.lincoln.fr/)
- **Repository:** [github/Lincoln-France](https://github.com/Lincoln-France)
- **Paper:** [Needs More Information]
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** [email](labinnovation@mel.lincoln.fr)
### Dataset Summary
newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer.
```py
from datasets import load_dataset
ds_name = 'lincoln/newsquadfr'
# exemple 1
ds_newsquad = load_dataset(ds_name)
# exemple 2
data_files = {'train': 'train.json', 'test': 'test.json', 'valid': 'valid.json'}
ds_newsquad = load_dataset(ds_name, data_files=data_files)
# exemple 3
ds_newsquad = load_dataset(ds_name, data_files=data_files, split="valid+test")
```
(train set)
| website | Nb |
|---------------|-----|
| cnews | 20 |
| francetvinfo | 40 |
| la-croix | 375 |
| lefigaro | 160 |
| lemonde | 325 |
| lesnumeriques | 70 |
| numerama | 140 |
| sudouest | 475 |
| usinenouvelle | 45 |
### Supported Tasks and Leaderboards
- extractive-qa
- open-domain-qa
### Languages
Fr-fr
## Dataset Structure
### Data Instances
```json
{'answers': {'answer_start': [53], 'text': ['manSuvre "agressive']},
'article_id': 34138,
'article_title': 'Caricatures, Libye, Haut-Karabakh... Les six dossiers qui '
'opposent Emmanuel Macron et Recep Tayyip Erdogan.',
'article_url': 'https://www.francetvinfo.fr/monde/turquie/caricatures-libye-haut-karabakh-les-six-dossiers-qui-opposent-emmanuel-macron-et-recep-tayyip-erdogan_4155611.html#xtor=RSS-3-[france]',
'context': 'Dans ce contexte déjà tendu, la France a dénoncé une manSuvre '
'"agressive" de la part de frégates turques à l\'encontre de l\'un '
"de ses navires engagés dans une mission de l'Otan, le 10 juin. "
'Selon Paris, la frégate Le Courbet cherchait à identifier un '
'cargo suspecté de transporter des armes vers la Libye quand elle '
'a été illuminée à trois reprises par le radar de conduite de tir '
"de l'escorte turque.",
'id': '2261',
'paragraph_id': 201225,
'question': "Qu'est ce que la France reproche à la Turquie?",
'website': 'francetvinfo'}
```
### Data Fields
- `answers`: a dictionary feature containing:
- `text`: a `string` feature.
- `answer_start`: a `int64` feature.
- `article_id`: a `int64` feature.
- `article_title`: a string feature.
- `article_url`: a string feature.
- `context`: a `string` feature.
- `id`: a `string` feature.
- `paragraph_id`: a `int64` feature.
- `question`: a `string` feature.
- `website`: a `string` feature.
### Data Splits
| Split | Nb |
|-------|----|
| train |1650|
| test |415 |
| valid |455 |
## Dataset Creation
### Curation Rationale
[Needs More Information]
### Source Data
#### Initial Data Collection and Normalization
Paragraphs were chosen according to theses rules:
- parent article must have more than 71% ASCII characters
- paragraphs size must be between 170 and 670 characters
- paragraphs shouldn't contain "A LIRE" or "A VOIR AUSSI"
Then, we stratified our original dataset to create this dataset according to :
- website
- number of named entities
- paragraph size
#### Who are the source language producers?
[Needs More Information]
### Annotations
#### Annotation process
Using Piaf annotation tools. Three different persons mostly.
#### Who are the annotators?
Lincoln
### Personal and Sensitive Information
[Needs More Information]
## Considerations for Using the Data
### Social Impact of Dataset
[Needs More Information]
### Discussion of Biases
- Annotation is not well controlled
- asking question on news is biaised
### Other Known Limitations
[Needs More Information]
## Additional Information
### Dataset Curators
[Needs More Information]
### Licensing Information
https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr
### Citation Information
[Needs More Information] |