|
|
--- |
|
|
annotations_creators: |
|
|
- machine-generated |
|
|
language_creators: |
|
|
- machine-generated |
|
|
language: |
|
|
- pt |
|
|
license: |
|
|
- cc-by-nc-sa-4.0 |
|
|
multilinguality: |
|
|
- monolingual |
|
|
size_categories: |
|
|
- unknown |
|
|
source_datasets: |
|
|
- extended|rebel-dataset |
|
|
task_categories: |
|
|
- text-retrieval |
|
|
task_ids: [] |
|
|
pretty_name: rebel-portuguese |
|
|
tags: |
|
|
- relation-extraction |
|
|
- conditional-text-generation |
|
|
--- |
|
|
# REBEL-Portuguese |
|
|
|
|
|
- **Repository:** [https://github.com/Babelscape/rebel](https://github.com/Babelscape/rebel) |
|
|
- **Paper:** [https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf](https://github.com/Babelscape/rebel/blob/main/docs/EMNLP_2021_REBEL__Camera_Ready_.pdf) |
|
|
- **Point of Contact:** [[email protected]]([email protected]) |
|
|
|
|
|
### Dataset Summary |
|
|
|
|
|
Dataset adapted to Portuguese from [REBEL-dataset](https://huggingface.co/datasets/Babelscape/rebel-dataset) . |
|
|
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
|
|
- `text-retrieval-other-relation-extraction`: The dataset can be used to train a model for Relation Extraction, which consists in extracting triplets from raw text, made of subject, object and relation type. |
|
|
|
|
|
### Languages |
|
|
|
|
|
The dataset is in Portuguese, from the Portuguese Wikipedia. |
|
|
|
|
|
### Source Data |
|
|
|
|
|
Data comes from Wikipedia text before the table of contents, as well as Wikidata for the triplets annotation. |
|
|
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
|
|
For the data collection, the dataset extraction pipeline [cRocoDiLe: Automati**c** **R**elati**o**n Extra**c**ti**o**n **D**ataset w**i**th N**L**I filt**e**ring](https://github.com/Babelscape/crocodile) insipired by [T-REx Pipeline](https://github.com/hadyelsahar/RE-NLG-Dataset) more details found at: [T-REx Website](https://hadyelsahar.github.io/t-rex/). The starting point is a Wikipedia dump as well as a Wikidata one. |
|
|
After the triplets are extracted, an NLI system was used to filter out those not entailed by the text. |
|
|
|
|
|
#### Who are the source language producers? |
|
|
|
|
|
Any Wikipedia and Wikidata contributor. |
|
|
|
|
|
### Annotations |
|
|
|
|
|
The dataset extraction pipeline [cRocoDiLe: Automati**c** **R**elati**o**n Extra**c**ti**o**n **D**ataset w**i**th N**L**I filt**e**ring](https://github.com/ju-resplande/crocodile). |
|
|
|
|
|
#### Who are the annotators? |
|
|
|
|
|
Automatic annottations |
|
|
|
|
|
### Personal and Sensitive Information |
|
|
|
|
|
All text is from Wikipedia, any Personal or Sensitive Information there may be present in this dataset. |
|
|
|
|
|
|
|
|
### Contributions |
|
|
|
|
|
Thanks to [@ju-resplande](https://github.com/ju-resplade) for adding this dataset. |
|
|
|
