Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Sub-tasks:
extractive-qa
Languages:
Catalan
Size:
< 1K
ArXiv:
License:
Update README.md (#2)
Browse files- Update README.md (f663fd08f4eca65c4fea0c1047b2642390f83169)
Co-authored-by: José Javier Saiz <[email protected]>
README.md
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- extractive-qa
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---
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# ViquiQuAD
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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### Dataset Summary
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ViquiQuAD
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### Supported Tasks and Leaderboards
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Extractive
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### Languages
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## Dataset Structure
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### Data Instances
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}]
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```
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### Data Fields
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- `context` (str): Wikipedia section text.
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- `question` (str): Question.
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- `answers` (list): List of answers to the question, each containing:
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- `text` (str): Span text answering to the question.
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- `answer_start` Starting offset of the span text answering to the question.
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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### Source Data
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####
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From a set of high quality, non-translation, articles inCA the Catalan Wikipedia, 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. (2016)](http://arxiv.org/abs/1606.05250)). In total, 15153 pairs of a question and an extracted fragment that contains the answer were created.
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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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#### Who are the source language producers?
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Volunteers who collaborate with Catalan Wikipedia.
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### Annotations
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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. (2016)](http://arxiv.org/abs/1606.05250)).
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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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No personal or sensitive information included.
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## Considerations for Using the Data
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### Social Impact
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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Text Mining Unit (TeMU)
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### Licensing Information
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This work is licensed under a
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### Citation Information
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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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```
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[DOI](https://doi.org/10.5281/zenodo.4562344)
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### Contributions
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# ViquiQuAD: An Extractive QA Dataset for Catalan from Wikipedia
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## Dataset Description
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* **Homepage:** [Zenodo](https://zenodo.org/record/4562345#.YK41aqGxWUk)
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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:** [[email protected]](mailto:[email protected])
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### Dataset Summary
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ViquiQuAD is an **extractive Question Answering dataset for Catalan**, built from the Catalan Wikipedia (*Viquipèdia*).
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* 3,111 contexts extracted from **597 high-quality, original (non-translated) articles**.
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* For each context, **1 to 5 questions** were created with their corresponding answers.
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* Total: **15,153 question–answer pairs**.
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This dataset can be used to fine-tune and evaluate extractive QA models and other Catalan language models.
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**Sources:** Catalan Wikipedia (licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)).
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### Supported Tasks and Leaderboards
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* Extractive Question Answering
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* Evaluation for Catalan Language Models
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### Languages
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* **Catalan (ca-ES)**
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---
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## Dataset Structure
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### Data Instances
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```json
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{
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"id": "P_66_C_391_Q1",
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"title": "Xavier Miserachs i Ribalta",
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"context": "En aquesta època es va consolidar el concepte modern del reportatge fotogràfic...",
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"question": "De què es diferenciava el reportatge fotogràfic?",
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"answers": [{
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"text": "del fotoperiodisme[n. 2] i de la fotografia documental",
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"answer_start": 92
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}]
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}
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```
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### Data Fields
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Following [SQuAD v1.0](http://arxiv.org/abs/1606.05250):
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* **id** *(str)*: Unique identifier.
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* **title** *(str)*: Title of the Wikipedia article.
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* **context** *(str)*: Text passage from Wikipedia.
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* **question** *(str)*: Question posed about the context.
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* **answers** *(list of dicts)*: Each answer contains:
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* **text** *(str)*: Answer span from the context.
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* **answer\_start** *(int)*: Character offset of the answer.
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### Data Splits
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* **train**: 11,259 examples
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* **dev**: 1,493 examples
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* **test**: 1,428 examples
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---
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## Dataset Creation
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### Curation Rationale
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Designed to provide a high-quality resource for Catalan, a low-resource language, to train and evaluate extractive QA systems.
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### Source Data
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* **Collection:** Articles scraped from the [Catalan Wikipedia](https://ca.wikipedia.org).
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* **Selection:** 597 high-quality, non-translated articles.
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* **Contexts:** 3,111 contexts (5–8 sentences each) extracted.
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* **Questions:** 1–5 questions created per context → 15,153 QA pairs.
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* **Guidelines:** Adapted from [SQuAD 1.0](http://arxiv.org/abs/1606.05250).
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#### Source Language Producers
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Volunteer contributors to Catalan Wikipedia.
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### Annotations
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* **Process:** Professional annotators created questions and answers following adapted SQuAD guidelines.
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* **Annotators:** Commissioned to a specialized company with native Catalan speakers.
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### Personal and Sensitive Information
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No personal or sensitive information is included.
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---
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## Considerations for Using the Data
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### Social Impact
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Supports the development of NLP for Catalan, reducing the resource gap for minority languages.
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### Discussion of Biases
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* May inherit coverage biases present in Wikipedia.
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* Articles selected are high-quality but do not fully represent all domains of Catalan usage.
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### Other Known Limitations
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* Limited domain (Wikipedia) may reduce generalizability.
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---
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## Additional Information
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### Dataset Curators
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* **Text Mining Unit (TeMU), Barcelona Supercomputing Center (BSC)**
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* Contact: [[email protected]](mailto:[email protected])
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### Funding
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Funded by the **Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya**, within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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### Licensing Information
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This work is licensed under a [Creative Commons Attribution-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).
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### Citation Information
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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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}
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```
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DOI: [10.5281/zenodo.4562344](https://doi.org/10.5281/zenodo.4562344)
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### Contributions
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N/A
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