Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
natural-language-inference
Languages:
Catalan
Size:
10K - 100K
ArXiv:
License:
Commit
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README.md
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TECa is a dataset of textual entailment in Catalan, which contains 21.163 pairs of premises and hypotheses, annotated according to the inference relation they have (implication, contradiction or neutral).
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This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of Projecte AINA, to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://temu-bsc.github.io/catalan-language-understanding-benchmark/).
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### Supported Tasks and Leaderboards
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## Dataset Creation
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### Curation Rationale
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Some sentence pairs were excluded because of inconsistencies.
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### Source Data
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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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The Catalan Textual Corpus corpus consists of several corpora gathered from web crawling and public corpora. More information can be found [here](https://doi.org/10.5281/zenodo.4519349).
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### Social Impact of Dataset
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### Discussion of Biases
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Casimiro Pio Carrino ([email protected]), Carlos Rodríguez-Penagos ([email protected]) and Carme Armentano-Oller ([email protected]), from [BSC-CNS](https://www.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 within the framework of Projecte AINA.
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### Licensing Information
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TECa is a dataset of textual entailment in Catalan, which contains 21.163 pairs of premises and hypotheses, annotated according to the inference relation they have (implication, contradiction or neutral).
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This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/), to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://temu-bsc.github.io/catalan-language-understanding-benchmark/).
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### Supported Tasks and Leaderboards
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## Dataset Creation
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### Curation Rationale
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We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
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### Source Data
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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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Some sentence pairs were excluded because of inconsistencies.
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#### Who are the source language producers?
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The Catalan Textual Corpus corpus consists of several corpora gathered from web crawling and public corpora. More information can be found [here](https://doi.org/10.5281/zenodo.4519349).
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### Social Impact of Dataset
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We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
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### Discussion of Biases
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Casimiro Pio Carrino ([email protected]), Carlos Rodríguez-Penagos ([email protected]) and Carme Armentano-Oller ([email protected]), from [BSC-CNS](https://www.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 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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