Datasets:
Dataset Card for "DACSA"
Dataset Summary
The Dataset for Automatic summarization of Catalan and Spanish newspaper Articles (DACSA) corpus. It is a high-quality large-scale corpus that can be used to train summarization models for Catalan and Spanish. The data provides pairs of news article and its summary from different newspapers for both, the Catalan and the Spanish languages. Regarding the Catalan set, there are 725,184 sample pairs from 9 newspapers, regarding the Spanish set, the corpus provides 2,120,649 sample pairs from 21 newspapers.
Supported Tasks and Leaderboards
Languages
catalan
spanish
Dataset Structure
Data Fields
- 'id': A string representing the article ID.
- 'summary': A string containing the article summary.
- 'article' : A string containing the article text.
Data Splits
Four splits are provided for each language set
- train: samples for training models
- validation: samples for adjusting and validating models
- test.i: test samples from newspapers present in train and validation splits
- test.ni: test samples from newspapers not present in training and validation splits
The validation and test-i splits contain a uniform distribution of samples from each newspaper source.
Languages | ISO 639-1 Code | Train | Val | Test.i | Test.ni | Total |
---|---|---|---|---|---|---|
Catalan | ca | 636596 | 35376 | 35376 | 17836 | 725184 |
Spanish | es | 1802919 | 104052 | 104052 | 109626 | 2120649 |
Dataset Creation
Curation Rationale
Source Data
Newspapers from Spain that publish news in Catalan or Spanish
Initial Data Collection and Normalization
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Additional Information
Dataset Curators
Licensing Information
These data are released under this licensing scheme. We do not own any of the text from which these data has been extracted.
This DACSA dataset package is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please:
- Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted.
- Clearly identify the copyrighted work claimed to be infringed.
- Clearly identify the material that is claimed to be infringing and information reasonably sufficient to allow us to locate the material. We will comply to legitimate requests by removing the affected sources from the next release of the corpus.
Citation Information
If you use any of the datasets, models or code modules, please cite the following paper:
@inproceedings{segarra-soriano-etal-2022-dacsa,
title = "{DACSA}: A large-scale Dataset for Automatic summarization of {C}atalan and {S}panish newspaper Articles",
author = "Segarra Soriano, Encarnaci{\'o}n and
Ahuir, Vicent and
Hurtado, Llu{\'\i}s-F. and
Gonz{\'a}lez, Jos{\'e}",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-main.434",
doi = "10.18653/v1/2022.naacl-main.434",
pages = "5931--5943",
abstract = "The application of supervised methods to automatic summarization requires the availability of adequate corpora consisting of a set of document-summary pairs. As in most Natural Language Processing tasks, the great majority of available datasets for summarization are in English, making it difficult to develop automatic summarization models for other languages. Although Spanish is gradually forming part of some recent summarization corpora, it is not the same for minority languages such as Catalan.In this work, we describe the construction of a corpus of Catalan and Spanish newspapers, the Dataset for Automatic summarization of Catalan and Spanish newspaper Articles (DACSA) corpus. It is a high-quality large-scale corpus that can be used to train summarization models for Catalan and Spanish.We have carried out an analysis of the corpus, both in terms of the style of the summaries and the difficulty of the summarization task. In particular, we have used a set of well-known metrics in the summarization field in order to characterize the corpus. Additionally, for benchmarking purposes, we have evaluated the performances of some extractive and abstractive summarization systems on the DACSA corpus.",
}
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