--- annotations_creators: - expert-generated language_creators: - found languages: - catalan licenses: - cc-by-sa-4.0 multilinguality: - monolingual pretty_name: vilaquad size_categories: - unknown source_datasets: [] task_categories: - question-answering task_ids: - extractive-qa --- # ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia ## Dataset Description - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903) - **Point of Contact:** Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es) ### Dataset Summary 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 CA - Catalan ## Dataset Structure ### Data Instances 
{
  "data": [
    {
      "title": "Frederick W. Mote",
      "paragraphs": [
        {
          "context": "L'historiador Frederick W. Mote va escriure que l'ús del terme \\\\\\\\\\\\\\\\"classes socials\\\\\\\\\\\\\\\\" per a aquest sistema era enganyós i que la posició de les persones dins del sistema de quatre classes no era una indicació del seu poder social i riquesa reals, sinó que només implicava \\\\\\\\\\\\\\\\"graus de privilegi\\\\\\\\\\\\\\\\" als quals tenien dret institucionalment i legalment, de manera que la posició d'una persona dins de les classes no era una garantia de la seva posició, ja que hi havia xinesos rics i amb bona reputació social, però alhora hi havia menys mongols i semu rics que mongols i semu que vivien en la pobresa i eren maltractats.",
          "qas": [
            {
              "answers": [
                {
                  "text": "Frederick W. Mote",
                  "answer_start": 14
                }
              ],
              "id": "5728848cff5b5019007da298",
              "question": "Qui creia que el sistema de classes socials de Yuan no s’hauria d’anomenar classes socials?"
            },
            ...
          ]
        }
      ]
    }, 
    ...
   ]
}
### Data Fields Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for squad v1 datasets. ### 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 - https://ca.wikipedia.org #### 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](https://doi.org/10.5281/zenodo.4562344) ### Funding This work was funded by the [Catalan Ministry of the Vice-presidency, Digital Policies and Territory](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [Aina project](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/).