---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- pt
language_bcp47:
- pt-BR
license:
- unknown
multilinguality:
- monolingual
paperswithcode_id: ulyssesner-br
pretty_name: pl-corpus
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- structure-prediction
task_ids:
- named-entity-recognition
---

# Dataset Card for pl-corpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-instances)
  - [Data Splits](#data-instances)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)

## Dataset Description 

- **Homepage:** [UlyssesNER-Br homepage](https://github.com/Convenio-Camara-dos-Deputados/ulyssesner-br-propor)
- **Repository:** [UlyssesNER-Br repository](https://github.com/Convenio-Camara-dos-Deputados/ulyssesner-br-propor)
- **Paper:** [UlyssesNER-Br: A corpus of brazilian legislative documents for named entity recognition. In: Computational Processing of the Portuguese Language](https://link.springer.com/chapter/10.1007/978-3-030-98305-5_1)
- **Point of Contact:** [Hidelberg O. Albuquerque](mailto:hidelberg.albuquerque@ufrpe.br)

### Dataset Summary

PL-corpus is part of the UlyssesNER-Br, a corpus of Brazilian Legislative Documents for NER with quality baselines The presented corpus consists of 150 public bills from Brazilian Chamber of Deputies, manually annotated. Its contains semantic categories and types. 

### Supported Tasks and Leaderboards

[Needs More Information]

### Languages

Brazilian Portuguese.

## Dataset Structure

### Data Instances

[Needs More Information]

### Data Fields

[Needs More Information]

### Data Splits

[Needs More Information]

## Dataset Creation

### Curation Rationale

[Needs More Information]

### Source Data

#### Initial Data Collection and Normalization

[Needs More Information]

#### Who are the source language producers?

[Needs More Information]

### Annotations

#### Annotation process

[Needs More Information]

#### Who are the annotators?

[Needs More Information]

### Personal and Sensitive Information

[Needs More Information]

## Considerations for Using the Data

### Social Impact of Dataset

[Needs More Information]

### Discussion of Biases

[Needs More Information]

### Other Known Limitations

[Needs More Information]

## Additional Information

### Dataset Curators

[Needs More Information]

### Licensing Information

[Needs More Information]

### Citation Information

@InProceedings{ALBUQUERQUE2022,
author="Albuquerque, Hidelberg O.
  and Costa, Rosimeire
  and Silvestre, Gabriel
  and Souza, Ellen
  and da Silva, N{\'a}dia F. F.
  and Vit{\'o}rio, Douglas
  and Moriyama, Gyovana
  and Martins, Lucas
  and Soezima, Luiza
  and Nunes, Augusto
  and Siqueira, Felipe
  and Tarrega, Jo{\~a}o P.
  and Beinotti, Joao V.
  and Dias, Marcio
  and Silva, Matheus
  and Gardini, Miguel
  and Silva, Vinicius
  and de Carvalho, Andr{\'e} C. P. L. F.
  and Oliveira, Adriano L. I.",
  title="{UlyssesNER-Br}: A Corpus of Brazilian Legislative Documents for Named Entity Recognition",
  booktitle="Computational Processing of the Portuguese Language",
  year="2022",
  pages="3--14",
}