Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Languages:
Catalan
Size:
10K - 100K
ArXiv:
License:
carmentano
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Commit
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README.md
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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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- **Homepage:** https://github.com/projecte-aina
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- **Point of Contact:** [Carlos Rodríguez-Penagos](mailto:carlos.rodriguez1@bsc.es) and [Carme Armentano-Oller](mailto:carme.armentano@bsc.es)
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### Dataset Summary
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CatalanQA:
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This dataset can be used to build extractive-QA and Language Models. It is an aggregation and balancing of 2 previous datasets: VilaQUAD and ViquiQUAD, which were described in
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[The Catalan Language CLUB] (https://arxiv.org/abs/2112.01894)
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Splits have been balanced by kind of question, and unlike other datasets like
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### Supported Tasks and Leaderboards
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Extractive-QA, Language Model.
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### Languages
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Catalan (`ca`).
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## Dataset Structure
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### Data Instances
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```
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]
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},
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```
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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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- `id` (str): Unique ID assigned to the question.
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- `title` (str): Title of the
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- `context` (str):
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- `question` (str): Question.
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- `answers` (list):
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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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- train.json: 17135 question/answer pairs
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- dev.json: 2157 question/answer pairs
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- test.json: 2135 question/answer pairs
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## Dataset Creation
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### Methodology
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Aggregation and balancing from
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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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#### Who are the source language producers?
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[
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### Annotations
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#### Annotation process
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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. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
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#### Who are the annotators?
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Annotation was commissioned by a 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 is included.
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## Considerations for Using the Data
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### Social Impact of Dataset
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[
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### Discussion of Biases
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[
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### Other Known Limitations
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[
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## Additional Information
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### Dataset Curators
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Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
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### Licensing Information
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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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[DOI]()
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### Funding
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This work was funded by the [Catalan Government](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [AINA project.](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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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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- **Homepage:** https://github.com/projecte-aina
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- **Point of Contact:** [Carlos Rodríguez-Penagos](mailto:carlos.rodriguez1@bsc.es) and [Carme Armentano-Oller](mailto:carme.armentano@bsc.es)
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### Dataset Summary
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CatalanQA:
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This dataset can be used to build extractive-QA and Language Models. It is an aggregation and balancing of 2 previous datasets: VilaQUAD and ViquiQUAD, which were described in [The Catalan Language CLUB](https://arxiv.org/abs/2112.01894).
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Splits have been balanced by kind of question, and unlike other datasets like SQuAD, it only contains, per record, one question and one answer for each context, although the contexts can repeat multiple times.
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### Supported Tasks and Leaderboards
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Extractive-QA, Language Model.
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### Languages
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The dataset is in Catalan (`ca-CA`).
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## Dataset Structure
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### Data Instances
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```
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]
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},
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```
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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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- `id` (str): Unique ID assigned to the question.
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- `title` (str): Title of the article.
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- `context` (str): Article text.
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- `question` (str): Question.
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- `answers` (list): Answer to the question, 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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- train.json: 17135 question/answer pairs
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- dev.json: 2157 question/answer pairs
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- test.json: 2135 question/answer pairs
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## Dataset Creation
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### Methodology
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Aggregation and balancing from [ViquiQuAD](https://huggingface.co/datasets/projecte-aina/viquiquad) and [VilaQuAD](https://huggingface.co/datasets/projecte-aina/vilaquad) datasets.
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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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- [VilaWeb](www.vilaweb.cat) and [Catalan Wikipedia](https://ca.wikipedia.org).
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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Volunteers from [Catalan Wikipedia](ca.wikipedia.org) and professional journalists from [VilaWeb](www.vilaweb.cat).
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### Annotations
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#### Annotation process
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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. “SQuAD: 100, 000+ Questions for Machine Comprehension of Text.” EMNLP (2016)](http://arxiv.org/abs/1606.05250)).
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#### Who are the annotators?
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Annotation was commissioned by a specialized company that hired a team of native language speakers.
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+
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### Personal and Sensitive Information
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No personal or sensitive information is included.
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## Considerations for Using the Data
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### Social Impact of Dataset
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[N/A]
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### Discussion of Biases
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[N/A]
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### Other Known Limitations
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[N/A]
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## Additional Information
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### Dataset Curators
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Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es).
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This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [projecte Aina](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/).
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### Licensing Information
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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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