Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
Catalan
Size:
10K - 100K
ArXiv:
License:
| annotations_creators: | |
| - machine-generated | |
| language_creators: | |
| - expert-generated | |
| languages: | |
| - ca | |
| licenses: | |
| - cc-by-nc-4.0 | |
| multilinguality: | |
| - monolingual | |
| pretty_name: casum | |
| size_categories: | |
| - unknown | |
| source_datasets: [] | |
| task_categories: | |
| - conditional-text-generation | |
| task_ids: | |
| - summarization | |
| # VilaSum | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Funding](#funding) | |
| ## Dataset Description | |
| - **Paper:**[Sequence to Sequence Resources for Catalan](https://arxiv.org/pdf/2202.06871.pdf) | |
| - **Point of Contact:** [Ona de Gibert Bonet](mailto:[email protected]) | |
| ### Dataset Summary | |
| VilaSum is a summarization dataset for evaluation. It is extracted from a newswire corpus crawled from Vilaweb. The corpus consists of 13,843 instances that are composed by the headline and the body. | |
| ### Supported Tasks and Leaderboards | |
| Summarization, Language Model | |
| ### Languages | |
| CA - Catalan | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| { | |
| 'summary': 'Un vídeo corrobora les agressions a dues animalistes en un correbou del Mas de Barberans', | |
| 'text': 'Noves imatges, a les quals ha tingut accés l'ACN, certifiquen les agressions i la destrucció del material d'enregistrament que han denunciat dues activistes d'AnimaNaturalis en la celebració d'un acte de bous a la plaça al Mas de Barberans (Montsià). En el vídeo es veu com unes quantes persones s'abalancen sobre les noies que reben estirades i cops mentre els intenten prendre les càmeres. Membres de la comissió taurina intervenen per aturar els presumptes agressors però es pot escoltar com part del públic victoreja la situació. Els Mossos d'Esquadra presentaran aquest dilluns al migdia l'atestat dels fets al Jutjat d'Amposta. Dissabte ja es van detenir quatre persones que van quedar en llibertat a l'espera de ser cridats pel jutge. Es tracta de tres homes i una dona de Sant Carles de la Ràpita, tots ells membres de la mateixa família.' | |
| } | |
| ``` | |
| ### Data Fields | |
| - `summary` (str): Summary of the piece of news | |
| - `text` (str): The text of the piece of news | |
| ### Data Splits | |
| We split our dataset into train, dev and test splits | |
| - test: 13,843 examples | |
| ## Dataset Creation | |
| We obtained each headline and its corresponding body and applied the following cleaning pipeline: deduplicating the documents, removing the documents with empty attributes, and deleting some boilerplate sentences. | |
| ## Additional Information | |
| ### Dataset Curators | |
| Ona de Gibert, Jordi Armengol-Estapé and Maite Melero, from BSC-CNS, did the conversion and curation. | |
| ### Licensing information | |
| This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by-nc/4.0/">Attribution-NonCommercial 4.0 International License</a>. | |
| ### BibTeX citation | |
| If you use any of these resources (datasets or models) in your work, please cite our latest preprint: | |
| ```bibtex | |
| @misc{degibert2022sequencetosequence, | |
| title={Sequence-to-Sequence Resources for Catalan}, | |
| author={Ona de Gibert and Ksenia Kharitonova and Blanca Calvo Figueras and Jordi Armengol-Estapé and Maite Melero}, | |
| year={2022}, | |
| eprint={2202.06871}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |
| ### Funding | |
| This work was funded by the [MT4All CEF project](https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2019-eu-ia-0031). |