Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
csv
Languages:
Portuguese
Size:
10K - 100K
License:
| license: cc-by-sa-4.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - pt | |
| [<img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" />](http://creativecommons.org/licenses/by-nc-sa/4.0/) | |
| ***You must agree to the [license](https://huggingface.co/datasets/multidefmod/dore/blob/main/DORE_license.txt) and terms of use before using the dataset in this repo.*** | |
| # 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. | |
| ```json | |
| [{"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](https://huggingface.co/datasets/multidefmod/dore) and can be downloaded using the following code. | |
| ```python | |
| 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}, | |
| } | |
| ~~~ |