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Datasets:
projecte-aina
/
viquiquad

Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
Catalan
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
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metadata
annotations_creators:
  - expert-generated
language_creators:
  - found
language:
  - catalan
license:
  - cc-by-sa-4.0
multilinguality:
  - monolingual
pretty_name: ViquiQuAD
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - question-answering
task_ids:
  - extractive-qa

ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia

Table of Contents

Dataset Description

Dataset Summary

ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia.

This dataset contains 3111 contexts extracted from a set of 597 high quality original (no translations) articles in the Catalan Wikipedia "Viquipèdia" (ca.wikipedia.org), and 1 to 5 questions with their answer for each fragment.

Viquipedia articles are used under [CC-by-sa] (https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence.

This dataset can be used to fine-tune and evaluate extractive-QA and Language Models. It is part of the Catalan Language Understanding Benchmark (CLUB).

Supported Tasks and Leaderboards

Extractive-QA, Language Model

Languages

Catalan (ca).

Dataset Structure

Data Instances 

{
  'id': 'P_66_C_391_Q1',
  'title': 'Xavier Miserachs i Ribalta',
  'context': "En aquesta època es va consolidar el concepte modern del reportatge fotogràfic, diferenciat del fotoperiodisme[n. 2] i de la fotografia documental,[n. 3] pel que fa a l'abast i el concepte. El reportatge fotogràfic implica més la idea de relat: un treball que vol més dedicació de temps, un esforç d'interpretació d'una situació i que culmina en un conjunt d'imatges. Això implica, d'una banda, la reivindicació del fotògraf per opinar, fet que li atorgarà estatus d'autor; l'autor proposa, doncs, una interpretació pròpia de la realitat. D'altra banda, el consens que s'estableix entre la majoria de fotògrafs és que el vehicle natural de la imatge fotogràfica és la pàgina impresa. Això suposà que revistes com Life, Paris-Match, Stern o Época assolissin la màxima esplendor en aquest període.",
  'question': 'De què es diferenciava el reportatge fotogràfic?',
  'answers': [{
    'text': 'del fotoperiodisme[n. 2] i de la fotografia documental',
    'answer_start': 92
  }]
}

Data Fields

Follows Rajpurkar, Pranav et al., 2016 for squad v1 datasets.

  • id (str): Unique ID assigned to the question.
  • title (str): Title of the Wikipedia article.
  • context (str): Wikipedia section text.
  • question (str): Question.
  • answers (list): List of answers to the question, each containing:
    • text (str): Span text answering to the question.
    • answer_start Starting offset of the span text answering to the question.

Data Splits

  • train: 11259 examples
  • developement: 1493 examples
  • test: 1428 examples

Dataset Creation

Methodology

From a set of high quality, non-translation, articles in the Catalan Wikipedia (ca.wikipedia.org), 597 were randomly chosen, and from them 3111, 5-8 sentence contexts were extracted. We commissioned creation of between 1 and 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 [Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)], (http://arxiv.org/abs/1606.05250). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.

Curation Rationale

For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.

Source Data

Initial Data Collection and Normalization

The source data are scraped articles from the Catalan wikipedia site (https://ca.wikipedia.org).

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

We commissioned the creation of 1 to 5 questions for each context, following an adaptation of the guidelines from SQUAD 1.0 (Rajpurkar, Pranav et al. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)), http://arxiv.org/abs/1606.05250.

Who are the annotators?

Annotation was commissioned to an specialized company that hired a team of native language speakers.

Personal and Sensitive Information

No personal or sensitive information included.

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es).

Licensing Information

This work is licensed under a Attribution-ShareAlike 4.0 International License.

Citation Information 

@inproceedings{armengol-estape-etal-2021-multilingual,
    title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
    author = "Armengol-Estap{\'e}, Jordi  and
      Carrino, Casimiro Pio  and
      Rodriguez-Penagos, Carlos  and
      de Gibert Bonet, Ona  and
      Armentano-Oller, Carme  and
      Gonzalez-Agirre, Aitor  and
      Melero, Maite  and
      Villegas, Marta",
    booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-acl.437",
    doi = "10.18653/v1/2021.findings-acl.437",
    pages = "4933--4946",
}

DOI

Funding

This work was funded by the Catalan Ministry of the Vice-presidency, Digital Policies and Territory within the framework of the Aina project.