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README.md
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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
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### Dataset Summary
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### Languages
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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 [
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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
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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
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### Personal and Sensitive Information
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### Social Impact of Dataset
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[
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### Discussion of Biases
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### Other Known Limitations
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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)
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