Datasets:
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- xh
license:
- other
license_details: Creative Commons Attribution 2.5 South Africa License
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
paperswithcode_id: null
pretty_name: IsixhosaNerCorpus
Dataset Card for [Dataset Name]
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: IsiXhosa Ner Corpus Homepage
- Repository:
- Paper:
- Leaderboard:
- Point of Contact: Martin Puttkammer
Dataset Summary
The isiXhosa Ner Corpus is a Xhosa 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 gov.za websites. It was created to support NER task for Xhosa language. The dataset uses CoNLL shared task annotation standards.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The language supported is Xhosa.
Dataset Structure
Data Instances
A data point consists of sentences seperated by empty line and tab-seperated tokens and tags. {'id': '0', 'ner_tags': [7, 8, 5, 6, 0], 'tokens': ['Injongo', 'ye-website', 'yaseMzantsi', 'Afrika', 'kukuvelisa'] }
Data Fields
id: id of the sampletokens: the tokens of the example textner_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 - Xhosa.
[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
Licensing Information
The data is under the Creative Commons Attribution 2.5 South Africa License
Citation Information
@inproceedings{isixhosa_ner_corpus,
author = { K. Podile and
Roald Eiselen},
title = {NCHLT isiXhosa 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/20.500.12185/312},
}
Contributions
Thanks to @yvonnegitau for adding this dataset.