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--- |
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YAML tags: |
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annotations_creators: |
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- expert-generated |
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language_creators: |
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- found |
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language: |
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- ca |
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license: |
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- cc-by-nc-nd-4.0 |
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multilinguality: |
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- monolingual |
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pretty_name: teca |
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size_categories: |
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- unknown |
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source_datasets: [] |
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task_categories: |
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- text-classification |
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--- |
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# TECa |
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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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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 the [projecte Aina](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/), 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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Textual entailment, Text classification, 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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Three JSON files, one for each split. |
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### Example: |
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<pre> |
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{ |
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"id": 3247, |
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"premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", |
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"hypothesis": "S'acorden unes recomanacions per les persones migrades a Marràqueix", |
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"label": "0" |
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}, |
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{ |
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"id": 2825, |
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"premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", |
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"hypothesis": "Les persones migrades seran acollides a Marràqueix", |
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"label": "1" |
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}, |
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{ |
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"id": 2431, |
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"premise": "L'ONU adopta a Marràqueix un pacte no vinculant per les migracions", |
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"hypothesis": "L'acord impulsat per l'ONU lluny de tancar-se", |
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"label": "2" |
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}, |
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</pre> |
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### Data Fields |
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- premise: text |
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- hypothesis: text related to the premise |
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- label: relation between premise and hypothesis: |
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* 0: entailment |
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* 1: neutral |
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* 2: contradiction |
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### Data Splits |
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* dev.json: 2116 examples |
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* test.json: 2117 examples |
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* train.json: 16930 examples |
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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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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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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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[VilaWeb](https://www.vilaweb.cat) is a Catalan newswire. |
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### Annotations |
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#### Annotation process |
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We commissioned 3 hypotheses (one for each entailment category) to be written by a team of annotators. |
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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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No personal or sensitive information 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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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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### Citation Information |
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``` |
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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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Carrino, Casimiro Pio and |
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Rodriguez-Penagos, Carlos and |
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de Gibert Bonet, Ona and |
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Armentano-Oller, Carme and |
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Gonzalez-Agirre, Aitor and |
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Melero, Maite and |
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Villegas, Marta", |
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booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021", |
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month = aug, |
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year = "2021", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2021.findings-acl.437", |
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doi = "10.18653/v1/2021.findings-acl.437", |
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pages = "4933--4946", |
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} |
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``` |
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[DOI](https://doi.org/10.5281/zenodo.4529183) |
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