nwu-ctext/sesotho_ner_corpus

---
annotations_creators:
- expert-generated
language_creators:
- found
language:
- st
license:
- other
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- token-classification
task_ids:
- named-entity-recognition
pretty_name: Sesotho NER Corpus
license_details: Creative Commons Attribution 2.5 South Africa License
dataset_info:
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
config_name: sesotho_ner_corpus
splits:
- name: train
num_bytes: 4502576
num_examples: 9472
download_size: 30421109
dataset_size: 4502576
---

# Dataset Card for Sesotho 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:** [Sesotho Ner Corpus Homepage](https://repo.sadilar.org/handle/20.500.12185/334)
- **Repository:**
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** [Martin Puttkammer](mailto:[e-mail])

### Dataset Summary

The Sesotho Ner Corpus is a Sesotho 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 Sesotho language. The dataset uses CoNLL shared task annotation standards.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

The language supported is Sesotho.

## 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': ['Morero', 'wa', 'weposaete', 'ya', 'Ditshebeletso']
}
```

### 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 - Sesotho.

[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.

#### 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{sesotho_ner_corpus,
author = {M. Setaka and
Roald Eiselen},
title = {NCHLT Sesotho 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/20.500.12185/334},
}
```

### Contributions

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

原始信息汇总

数据集概述

数据集基本信息

• 数据集名称: Sesotho NER Corpus
• 语言: Sesotho
• 许可证: Creative Commons Attribution 2.5 South Africa License
• 数据集大小: 1K<n<10K
• 任务类型: 命名实体识别 (Named-Entity Recognition)

数据集结构

数据字段

• id: 样本的唯一标识符
• tokens: 文本的词汇序列
• ner_tags: 每个词汇的命名实体标签

命名实体标签

• 0: OUT (非命名实体)
• 1: B-PERS (人名开始)
• 2: I-PERS (人名内部)
• 3: B-ORG (组织名开始)
• 4: I-ORG (组织名内部)
• 5: B-LOC (地点名开始)
• 6: I-LOC (地点名内部)
• 7: B-MISC (杂项名开始)
• 8: I-MISC (杂项名内部)

数据分割

• 训练集: 包含9472个样本，大小为4502576字节

数据集来源

• 数据来源: 南非政府域名文档，从gov.za网站爬取
• 数据创建者: 北西大学人文学院文本技术中心 (CTexT)

引用信息

@inproceedings{sesotho_ner_corpus, author = {M. Setaka and Roald Eiselen}, title = {NCHLT Sesotho 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/20.500.12185/334}, }