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Datasets:
lincoln
/
newsquadfr

Tasks:
Question Answering
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
extractive-qa
open-domain-qa
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
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metadata
annotations_creators:
  - crowdsourced
language_creators:
  - crowdsourced
languages:
  - fr-FR
licenses:
  - CC BY-NC-SA 3.0 FR
multilinguality:
  - monolingual
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - extractive-qa
  - open-domain-qa
paperswithcode_id: null

Dataset Card for newsquad

Table of Contents

Dataset Description

Dataset Summary

Newsquad is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021.

(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 

{'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
val 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/3.0/fr/

Citation Information

[Needs More Information]