Datasets:
Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
Portuguese
Size:
10K<n<100K
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Dataset Card for UlyssesNER-Br
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
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Languages
Portuguese (Brazil).
Dataset Structure
Data Instances
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Data Fields
[More Information Needed]
Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
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Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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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.
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