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DORE: Definition MOdelling in PoRtuguEse
This repository introduces DORE, a comprehensive corpus of over 100,000 definitions from Portuguese dictionaries. Alongside DORE, we also introduce the models used to perform Portuguese DM. The release of DORE aims to fill in the gap of resources for Automatic Definition Generation, or Definition Modelling (DM), in Portuguese. DORE is the first dataset released for Portuguese DM.
Data Collection
For version 1.0, we collected pairs of lemma, definition from two e-dictionaries in Portuguese. See the following table for more details.
Source | Amount |
---|---|
Wiktionary ( https://pt.wiktionary.org/wiki/Wikcion%C3%A1rio:P%C3%A1gina_principal ) | 19,038 |
Dicio ( https://www.dicio.com.br/ ) | 83,981 |
Total | 103,019 |
One of the .json files is shown below.
[{"id": "pt.024", "lemma": "trouxa", "gloss": "pessoa que se deixa enganar com facilidade; quem é facilmente enganado ou iludido: o trouxa ainda acredita em tudo que ele fala."},
{"id": "pt.025", "lemma": "boxeador", "gloss": "pugilista; lutador de boxe; pessoa que, profissionalmente ou não, pratica boxe ou pugilismo."}]
Data
DORE is available in HuggingFace and can be downloaded using the following code.
from datasets import load_dataset
dore = load_dataset('multidefmod/dore')
Citation
If you are using the dataset or the models, please cite the following paper.
@inproceedings{dore2024,
author={Furtado, Anna B Dimas and Ranasinghe, Tharindu and Blain, Fréderic and Mitkov, Ruslan},
title={{DORE: A Dataset For Portuguese Definition Generation}},
booktitle={The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
year={2024},
month={May},
}
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