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- license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ annotations_creators:
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+ - machine-generated
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+ language_creators:
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+ - machine-generated
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+ language:
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+ - pt
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+ license:
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+ - cc-by-nc-sa-4.0
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+ multilinguality:
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+ - monolingual
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+ source_datasets:
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+ - extended|rebel-dataset
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+ pretty_name: rebel-portuguese
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+ size_categories:
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+ - unknown
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text-retrieval
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+ - conditional-text-generation
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+ task_ids:
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+ - text-retrieval-other-relation-extraction
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  ---
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+ # Dataset Card for REBEL dataset
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+
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+ ## Table of Contents
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+
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+ - [Dataset Card for REBEL-Portuguese](#dataset-card-for-rebel)
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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+ - [Who are the source language producers?](#who-are-the-source-language-producers)
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+ - [Annotations](#annotations)
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+ - [Annotation process](#annotation-process)
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+ - [Who are the annotators?](#who-are-the-annotators)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Repository:** [https://github.com/Babelscape/rebel](https://github.com/Babelscape/rebel)
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+ - **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)
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+ - **Point of Contact:** [julianarsg13@gmail.com](julianarsg13@gmail.com)
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+
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+ ### Dataset Summary
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+
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+ Dataset adapted to Portuguese from [REBEL-dataset](https://huggingface.co/datasets/Babelscape/rebel-dataset) .
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - `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. Success on this task is typically measured by achieving a *high* [F1](https://huggingface.co/metrics/F1). The [BART](https://huggingface.co/transformers/model_doc/bart.html)) model currently achieves the following score: 74 Micro F1 and 51 Macro F1 for the 220 most frequent relation types.
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+
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+ ### Languages
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+
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+ The dataset is in Portuguese, from the Portuguese Wikipedia.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ ### Data Fields
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+
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+ ### Data Splits
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ ### Source Data
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+
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+ Data comes from Wikipedia text before the table of contents, as well as Wikidata for the triplets annotation.
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+
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+ #### Initial Data Collection and Normalization
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+
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+ 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.
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+ After the triplets are extracted, an NLI system was used to filter out those not entailed by the text.
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+
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+ #### Who are the source language producers?
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+
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+ Any Wikipedia and Wikidata contributor.
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ 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).
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+
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+ #### Who are the annotators?
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+
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+ Automatic annottations
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+
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+ ### Personal and Sensitive Information
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+ All text is from Wikipedia, any Personal or Sensitive Information there may be present in this dataset.
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+
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+
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+ ### Discussion of Biases
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+
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+ ### Other Known Limitations
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+
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+ Not for now
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ ### Licensing Information
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+
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+ ### Citation Information
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+
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+ ### Contributions
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+
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+ Thanks to [@ju-resplande](https://github.com/ju-resplade) for adding this dataset.