mariner / README.md
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metadata
dataset_info:
  features:
    - name: tokens
      sequence: string
    - name: ner_tags
      sequence:
        class_label:
          names:
            '0': O
            '1': B-PESSOA
            '2': I-PESSOA
            '3': B-LOCAL
            '4': I-LOCAL
            '5': B-DATA
            '6': I-DATA
            '7': B-ORGANIZACAO
            '8': I-ORGANIZACAO
  splits:
    - name: train
      num_bytes: 2234513
      num_examples: 6175
    - name: eval
      num_bytes: 553739
      num_examples: 1544
    - name: test
      num_bytes: 715658
      num_examples: 1930
  download_size: 829002
  dataset_size: 3503910
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: eval
        path: data/eval-*
      - split: test
        path: data/test-*
task_categories:
  - token-classification
language:
  - pt
pretty_name: MariNER
size_categories:
  - 1K<n<10K

This is the MariNER (Mapeamento e Anotações de Registros hIstóricos para NER) dataset, a Named Entity Recognition dataset for Brazilian Portuguese in the historical domain, presented in the paper MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition. The dataset consists of five documents from early 20th Century on expeditions through Brazil's Northeast region. The documents were manually annotated with four entity types: Person, Location, Date and Organization. They were also divided into sentences and tokenized.

The dataset is available in the BIO format, with the following distinct labels and corresponding indices:

Label Tag
0 O
1 B-PESSOA
2 I-PESSOA
3 B-LOCAL
4 I-LOCAL
5 B-DATA
6 I-DATA
7 B-ORGANIZACAO
8 I-ORGANIZACAO

The dataset is also available in Github at https://github.com/Joao-Luz/mariner

To cite this work, use:

 @misc {
      sarcinelli2025marinerdatasethistoricalbrazilian,
      title={MariNER: A Dataset for Historical Brazilian Portuguese Named Entity Recognition}, 
      author={João Lucas Luz Lima Sarcinelli and Marina Lages Gonçalves Teixeira and Jade Bortot de Paiva and Diego Furtado Silva},
      year={2025},
      eprint={2506.23051},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.23051}, 
}