Datasets:
afrikaans_ner_corpus

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- expert-generated
	language:
	- af
	license:
	- other
	multilinguality:
	- monolingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- original
	task_categories:
	- token-classification
	task_ids:
	- named-entity-recognition
	pretty_name: Afrikaans Ner Corpus
	license_details: Creative Commons Attribution 2.5 South Africa License
	dataset_info:
	config_name: afrikaans_ner_corpus
	features:
	- name: id
	dtype: string
	- name: tokens
	sequence: string
	- name: ner_tags
	sequence:
	class_label:
	names:
	'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
	splits:
	- name: train
	num_bytes: 4025651
	num_examples: 8962
	download_size: 944804
	dataset_size: 4025651
	configs:
	- config_name: afrikaans_ner_corpus
	data_files:
	- split: train
	path: afrikaans_ner_corpus/train-*
	default: true
	---

	# Dataset Card for Afrikaans Ner Corpus

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [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)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Afrikaans Ner Corpus Homepage](https://repo.sadilar.org/handle/20.500.12185/299)
	- Repository:
	- Paper:
	- Leaderboard:
	- Point of Contact: [Martin Puttkammer](mailto:Martin.Puttkammer@nwu.ac.za)

	### Dataset Summary
	The Afrikaans Ner Corpus is an Afrikaans dataset developed by [The Centre for Text Technology (CTexT), North-West University, South Africa](http://humanities.nwu.ac.za/ctext). The data is based on documents from the South African goverment domain and crawled from gov.za 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]

	### Languages

	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 gov.za websites.

	[More Information Needed]

	#### Who are the source language producers?

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

	[More Information Needed]

	### Annotations

	#### 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](http://www.nwu.ac.za/ctext)

	### Licensing Information

	The data is under the [Creative Commons Attribution 2.5 South Africa License](http://creativecommons.org/licenses/by/2.5/za/legalcode)

	### Citation Information
	```
	@inproceedings{afrikaans_ner_corpus,
	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 = {https://repo.sadilar.org/handle/20.500.12185/299},
	}
	```
	### Contributions

	Thanks to [@yvonnegitau](https://github.com/yvonnegitau) for adding this dataset.