Datasets:

Languages:
Afrikaans
Multilinguality:
monolingual
Size Categories:
1K<n<10K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
File size: 5,690 Bytes
f8036ab
 
 
 
 
fe45fa4
f8036ab
fe45fa4
 
f8036ab
 
 
 
 
 
 
1edf4c9
f8036ab
 
68d6ea5
765db28
20cb08a
 
 
 
 
 
 
 
 
 
765db28
 
 
 
 
 
 
 
 
20cb08a
 
 
 
 
 
 
f8036ab
 
 
 
 
 
 
e289be5
f8036ab
 
 
e289be5
 
f8036ab
 
 
 
 
 
 
 
 
 
 
 
 
7abdd8a
f8036ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7abdd8a
 
 
20cb08a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
---
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:
  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: afrikaans_ner_corpus
  splits:
  - 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-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.