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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 (carlos.rodriguez1@bsc.es) and Carme Armentano-Oller (carme.armentano@bsc.es)
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  ### Dataset Summary
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  ### Languages
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- CA - Catalan
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  ## Dataset Structure
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  ### Source Data
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- Source sentences are extracted from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349) and from [Vilaweb](https://www.vilaweb.cat) newswire.
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  #### Initial Data Collection and Normalization
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- 12000 sentences from the BSC Catalan Textual Corpus, together with 6200 headers from the Catalan news site Vilaweb, were chosen randomly. We filtered them by different criteria, such as length and stand-alone intelligibility. For each selected text, we commissioned 3 hypotheses (one for each entailment category) to be written by a team of native annotators.
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  #### Who are the source language producers?
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  #### Who are the annotators?
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- Annotators are a team of native language collaborators from two intependent companies.
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  ### Personal and Sensitive Information
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  ### Social Impact of Dataset
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- [More Information Needed]
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  ### Discussion of Biases
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- [More Information Needed]
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  ### Other Known Limitations
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- [More Information Needed]
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  ## Additional Information
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  Casimiro Pio Carrino, Carlos Rodríguez and Carme Armentano, from BSC-CNS.
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  ### Licensing Information
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  This work is licensed under an <a rel="license" href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Attribution-NonCommercial-NoDerivatives 4.0 International License</a>.
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  ```
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  [DOI](https://doi.org/10.5281/zenodo.4529183)
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- ### Funding
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- 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/).
 
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  ## Dataset Description
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+ - **Website:** https://zenodo.org/record/4761458
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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](carlos.rodriguez1@bsc.es) and [Carme Armentano-Oller](carme.armentano@bsc.es)
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  ### Dataset Summary
 
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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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  ### Source Data
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+ Source sentences are extracted from the [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349) and from [VilaWeb](https://www.vilaweb.cat) newswire.
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  #### Initial Data Collection and Normalization
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+ 12000 sentences from the BSC [Catalan Textual Corpus](https://doi.org/10.5281/zenodo.4519349), together with 6200 headers from the Catalan news site [VilaWeb](https://www.vilaweb.cat), were chosen randomly. We filtered them by different criteria, such as length and stand-alone intelligibility. For each selected text, we commissioned 3 hypotheses (one for each entailment category) to be written by a team of native annotators.
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  #### Who are the source language producers?
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  #### Who are the annotators?
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+ Annotators are a team of native language collaborators from two independent companies.
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  ### Personal and Sensitive Information
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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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  Casimiro Pio Carrino, Carlos Rodríguez and Carme Armentano, from BSC-CNS.
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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 an <a rel="license" href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Attribution-NonCommercial-NoDerivatives 4.0 International License</a>.
 
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  ```
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  [DOI](https://doi.org/10.5281/zenodo.4529183)