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  ---
 
 
 
 
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  languages:
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- - ca
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  # ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia
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- ## BibTeX citation
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- If you use any of these resources (datasets or models) in your work, please cite our latest paper:
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-
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- ```bibtex
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- @inproceedings{armengol-estape-etal-2021-multilingual,
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- title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
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- author = "Armengol-Estap{\'e}, Jordi and
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- Carrino, Casimiro Pio and
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- Rodriguez-Penagos, Carlos and
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- de Gibert Bonet, Ona and
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- Armentano-Oller, Carme and
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- Gonzalez-Agirre, Aitor and
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- Melero, Maite and
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- Villegas, Marta",
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- booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
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- month = aug,
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- year = "2021",
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- address = "Online",
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- publisher = "Association for Computational Linguistics",
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- url = "https://aclanthology.org/2021.findings-acl.437",
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- doi = "10.18653/v1/2021.findings-acl.437",
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- pages = "4933--4946",
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- }
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- ```
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- # Digital Object Identifier (DOI) and access to dataset files
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- https://doi.org/10.5281/zenodo.4562345
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- ## Introduction
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  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.
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  Viquipedia articles are used under [CC-by-sa] (https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence.
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- 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) as presented in:
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-
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- Armengol-Estapé J., Carrino CP., Rodriguez-Penagos C., de Gibert Bonet O., Armentano-Oller C., Gonzalez-Agirre A., Melero M. and Villegas M.,Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan". Findings of ACL 2021 (ACL-IJCNLP 2021).
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  ### Supported Tasks and Leaderboards
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@@ -52,27 +44,12 @@ Extractive-QA, Language Model
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  ### Languages
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- CA- Catalan
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-
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- ### Directory structure
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-
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- * README
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- * dev.json
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- * test.json
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- * train.json
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- * viquiquad.py
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  ## Dataset Structure
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  ### Data Instances
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- json files
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-
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- ### Data Fields
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-
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- Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for full reference)
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-
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- ### Example:
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  <pre>
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  {
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  "data": [
@@ -102,56 +79,16 @@ Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for
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  }
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  </pre>
 
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- ### Data Splits
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-
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- train.development,test
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-
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- ## Content analysis
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-
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- ### Number of articles, paragraphs and questions
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-
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- * Number of articles: 597
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- * Number of contexts: 3111
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- * Number of questions: 15153
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- * Questions/context: 4.87
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- * Number of sentences in contexts: 15100
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- * Sentences/context: 4.85
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-
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- ### Number of tokens
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-
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- * tokens in context: 469335
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- * tokens/context 150.86
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- * tokens in questions: 145249
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- * tokens/questions: 9.58
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- * tokens in answers: 63246
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- * tokens/answers: 4.17
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-
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- ### Lexical variation
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-
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- After filtering (tokenization, stopwords, punctuation, case), 83,88% of the words in the question can be found in the Context
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-
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- ### Question type
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-
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- | Question | Count | % |
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- |--------|-----|------|
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- | què | 4220 | 27.85 % |
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- | qui | 2239 | 14.78 % |
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- | com | 1964 | 12.96 % |
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- | quan | 1133 | 7.48 % |
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- | on | 1580 | 10.43 % |
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- | quant | 925 | 6.1 % |
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- | quin | 3399 | 22.43 % |
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- | no question mark | 21 | 0.14 % |
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- ### Question-answer relationships
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- From 100 randomly selected samples:
 
 
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- * Lexical variation: 33.0%
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- * World knowledge: 16.0%
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- * Syntactic variation: 35.0%
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- * Multiple sentence: 17.0%
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  ## Dataset Creation
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@@ -161,7 +98,7 @@ From a set of high quality, non-translation, articles in the Catalan Wikipedia (
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  ### Curation Rationale
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- For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.
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  ### Source Data
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  #### Initial Data Collection and Normalization
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- The source data are scraped articles from the Catalan wikipedia site (https://ca.wikipedia.org).
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  #### Who are the source language producers?
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@@ -183,11 +120,7 @@ We commissioned the creation of 1 to 5 questions for each context, following an
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  #### Who are the annotators?
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- Native language speakers.
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-
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- ### Dataset Curators
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-
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- Carlos Rodríguez and Carme Armentano, from BSC-CNS
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  ### Personal and Sensitive Information
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@@ -207,12 +140,43 @@ No personal or sensitive information included.
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  [More Information Needed]
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- ## Contact
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  Carlos Rodríguez-Penagos ([email protected]) and Carme Armentano-Oller ([email protected])
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- ## License
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- <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/"><img alt="Attribution-ShareAlike 4.0 International License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
 
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  ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - found
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  languages:
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+ - catalan
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+ licenses:
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+ - cc-by-sa-4.0
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+ multilinguality:
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+ - monolingual
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+ pretty_name: vilaquad
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+ size_categories:
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+ - unknown
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+ source_datasets: []
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+ task_categories:
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+ - question-answering
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+ task_ids:
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+ - extractive-qa
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  ---
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+
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  # ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia
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+ ## Dataset Description
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
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+ - **Point of Contact:** Carlos Rodríguez-Penagos ([email protected]) and Carme Armentano-Oller ([email protected])
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+ ### Dataset Summary
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  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.
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  Viquipedia articles are used under [CC-by-sa] (https://creativecommons.org/licenses/by-sa/3.0/legalcode) licence.
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+ 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).
 
 
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  ### Supported Tasks and Leaderboards
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  ### Languages
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+ CA - Catalan
 
 
 
 
 
 
 
 
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  ## Dataset Structure
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  ### Data Instances
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  <pre>
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  {
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  "data": [
 
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  }
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  </pre>
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+ ### Data Fields
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+ Follows [Rajpurkar, Pranav et al., 2016](http://arxiv.org/abs/1606.05250) for squad v1 datasets.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ### Data Splits
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+ - train
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+ - developement
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+ - test
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  ## Dataset Creation
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  ### Curation Rationale
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+ For compatibility with similar datasets in other languages, we followed as close as possible existing curation guidelines.
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  ### Source Data
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  #### Initial Data Collection and Normalization
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+ The source data are scraped articles from the Catalan wikipedia site (https://ca.wikipedia.org).
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  #### Who are the source language producers?
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  #### Who are the annotators?
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+ Annotation was commissioned to an specialized company that hired a team of native language speakers.
 
 
 
 
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  ### Personal and Sensitive Information
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  [More Information Needed]
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+ ## Additional Information
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+ ### Dataset Curators
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  Carlos Rodríguez-Penagos ([email protected]) and Carme Armentano-Oller ([email protected])
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+ ### Licensing Information
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+
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+ This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International License</a>.
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+
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+ ### Citation Information
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+
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+
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+
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+ ```
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+
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+ @inproceedings{armengol-estape-etal-2021-multilingual,
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+ title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
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+ author = "Armengol-Estap{\'e}, Jordi and
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+ Carrino, Casimiro Pio and
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+ Rodriguez-Penagos, Carlos and
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+ de Gibert Bonet, Ona and
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+ Armentano-Oller, Carme and
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+ Gonzalez-Agirre, Aitor and
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+ Melero, Maite and
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+ Villegas, Marta",
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+ booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
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+ month = aug,
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+ year = "2021",
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+ address = "Online",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.findings-acl.437",
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+ doi = "10.18653/v1/2021.findings-acl.437",
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+ pages = "4933--4946",
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+ }
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+
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+ ```
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+ [DOI](https://doi.org/10.5281/zenodo.4562344)
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