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Replace YAML keys from int to str (#1)
  - expert-generated
  - expert-generated
  - af
  - other
  - monolingual
  - 1K<n<10K
  - original
  - token-classification
  - named-entity-recognition
pretty_name: Afrikaans Ner Corpus
license_details: Creative Commons Attribution 2.5 South Africa License
    - name: id
      dtype: string
    - name: tokens
      sequence: string
    - name: ner_tags
            '0': OUT
            '1': B-PERS
            '2': I-PERS
            '3': B-ORG
            '4': I-ORG
            '5': B-LOC
            '6': I-LOC
            '7': B-MISC
            '8': I-MISC
  config_name: afrikaans_ner_corpus
    - name: train
      num_bytes: 4025667
      num_examples: 8962
  download_size: 25748344
  dataset_size: 4025667

Dataset Card for Afrikaans Ner Corpus

Table of Contents

Dataset Description

Dataset Summary

The Afrikaans Ner Corpus is an Afrikaans dataset developed by The Centre for Text Technology (CTexT), North-West University, South Africa. The data is based on documents from the South African goverment domain and crawled from websites. It was created to support NER task for Afrikaans language. The dataset uses CoNLL shared task annotation standards.

Supported Tasks and Leaderboards

[More Information Needed]


The language supported is Afrikaans.

Dataset Structure

Data Instances

A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. {'id': '0', 'ner_tags': [0, 0, 0, 0, 0], 'tokens': ['Vertaling', 'van', 'die', 'inligting', 'in'] }

Data Fields

  • id: id of the sample
  • tokens: the tokens of the example text
  • ner_tags: the NER tags of each token

The NER tags correspond to this list:

"OUT", "B-PERS", "I-PERS", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC",

The NER tags have the same format as in the CoNLL shared task: a B denotes the first item of a phrase and an I any non-initial word. There are four types of phrases: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). (OUT) is used for tokens not considered part of any named entity.

Data Splits

The data was not split.

Dataset Creation

Curation Rationale

The data was created to help introduce resources to new language - Afrikaans.

[More Information Needed]

Source Data

Initial Data Collection and Normalization

The data is based on South African government domain and was crawled from websites.

[More Information Needed]

Who are the source language producers?

The data was produced by writers of South African government websites -

[More Information Needed]


Annotation process

[More Information Needed]

Who are the annotators?

The data was annotated during the NCHLT text resource development project.

[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

The annotated data sets were developed by the Centre for Text Technology (CTexT, North-West University, South Africa).

See: more information

Licensing Information

The data is under the Creative Commons Attribution 2.5 South Africa License

Citation Information

  author    = {	Gerhard van Huyssteen and
                Martin Puttkammer and
                E.B. Trollip and
                J.C. Liversage and
              Roald Eiselen},
  title     = {NCHLT Afrikaans Named Entity Annotated Corpus},
  booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th      Language Resource and Evaluation Conference, Portorož, Slovenia.},
  year      = {2016},
  url       = {},


Thanks to @yvonnegitau for adding this dataset.