Datasets:

projecte-aina
/

viquiquad

	---
	languages:
	- ca
	---
	# ViquiQuAD, An extractive QA dataset for catalan, from the Wikipedia

	## BibTeX citation

	If you use any of these resources (datasets or models) in your work, please cite our latest paper:

	```bibtex
	@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",
	}
	```


	# Digital Object Identifier (DOI) and access to dataset files

	https://doi.org/10.5281/zenodo.4562345


	## Introduction

	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) as presented in:

	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).

	### Supported Tasks and Leaderboards

	Extractive-QA, Language Model

	### Languages

	CA- Catalan

	### Directory structure

	* README
	* dev.json
	* test.json
	* train.json
	* viquiquad.py

	## Dataset Structure

	### Data Instances

	json files

	### Data Fields

	Follows ((Rajpurkar, Pranav et al., 2016) for squad v1 datasets. (see below for full reference)

	### Example:
	<pre>
	{
	"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?"
	},
	...
	]
	}
	]
	},
	...
	]
	}

	</pre>

	### Data Splits

	train.development,test

	## Content analysis

	### Number of articles, paragraphs and questions

	* Number of articles: 597
	* Number of contexts: 3111
	* Number of questions: 15153
	* Questions/context: 4.87
	* Number of sentences in contexts: 15100
	* Sentences/context: 4.85

	### Number of tokens

	* tokens in context: 469335
	* tokens/context 150.86
	* tokens in questions: 145249
	* tokens/questions: 9.58
	* tokens in answers: 63246
	* tokens/answers: 4.17

	### Lexical variation

	After filtering (tokenization, stopwords, punctuation, case), 83,88% of the words in the question can be found in the Context

	### Question type

	\| Question \| Count \| % \|
	\|--------\|-----\|------\|
	\| què \| 4220 \| 27.85 % \|
	\| qui \| 2239 \| 14.78 % \|
	\| com \| 1964 \| 12.96 % \|
	\| quan \| 1133 \| 7.48 % \|
	\| on \| 1580 \| 10.43 % \|
	\| quant \| 925 \| 6.1 % \|
	\| quin \| 3399 \| 22.43 % \|
	\| no question mark \| 21 \| 0.14 % \|

	### Question-answer relationships

	From 100 randomly selected samples:

	* Lexical variation: 33.0%
	* World knowledge: 16.0%
	* Syntactic variation: 35.0%
	* Multiple sentence: 17.0%

	## 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?

	Native language speakers.

	### Dataset Curators

	Carlos Rodríguez and Carme Armentano, from BSC-CNS

	### 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]


	## Contact

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


	## License

	<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>.