Datasets:

lincoln
/

newsquadfr

	---
	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 dataset import load_dataset

	ds_name = 'lincoln/newsquadfr'

	# exemple 1
	ds_newsquad = load_dataset(ds_name)

	# exemple 2
	ds_newsquad = load_dataset(ds_name, split="test+valid")

	# exemple 3
	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="train")
	```

	(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]