ulysses-ner-br / README.md
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metadata
annotations_creators: []
language_creators: []
languages:
  - pt
licenses: []
multilinguality:
  - monolingual
pretty_name: UlyssesNER-br
size_categories:
  - 10K<n<100K
source_datasets: []
task_categories:
  - token-classification
task_ids:
  - named-entity-recognition

Dataset Card for UlyssesNER-Br

Table of Contents

Dataset Description

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Languages

Portuguese (Brazil).

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{UlyssesNER-Br,
  title={UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition}, 
  author={Albuquerque, Hidelberg O. and Costa, Rosimeire and Silvestre, Gabriel and Souza, Ellen and da Silva, Nádia F. F. and Vitório, Douglas and Moriyama, Gyovana and Martins, Lucas and Soezima, Luiza and Nunes, Augusto and Siqueira, Felipe and Tarrega, João P. and Beinotti, Joao V. and Dias, Marcio and Silva, Matheus and Gardini, Miguel and Silva, Vinicius and de Carvalho, André C. P. L. F. and Oliveira, Adriano L. I.},
  booktitle={Computational Processing of the Portuguese Language},
  year={2022},
  publisher={Springer International Publishing},
  isbn={978-3-030-98305-5},
  doi={https://doi.org/10.1007/978-3-030-98305-5_1}
}

Contributions

Thanks to @augusnunes for adding this dataset.