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---
language:
- eng
- afr
- nbl
- xho
- zul
- sot
- nso
- tsn
- ssw
- ven
- tso
license: cc-by-4.0
task_categories:
- sentence-similarity
- translation
pretty_name: The Vuk'uzenzele South African Multilingual Corpus
tags:
- multilingual
- government
arxiv: 2303.0375
configs:
- config_name: afr-tsn
data_files:
- split: train
path: afr-tsn/train-*
- split: test
path: afr-tsn/test-*
- config_name: afr-xho
data_files:
- split: train
path: afr-xho/train-*
- split: test
path: afr-xho/test-*
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- config_name: eng-sot
data_files:
- split: train
path: eng-sot/train-*
- split: test
path: eng-sot/test-*
- config_name: nbl-nso
data_files:
- split: train
path: nbl-nso/train-*
- split: test
path: nbl-nso/test-*
- config_name: nso-tso
data_files:
- split: train
path: nso-tso/train-*
- split: test
path: nso-tso/test-*
- config_name: tsn-xho
data_files:
- split: train
path: tsn-xho/train-*
- split: test
path: tsn-xho/test-*
- config_name: tso-ven
data_files:
- split: train
path: tso-ven/train-*
- split: test
path: tso-ven/test-*
dataset_info:
- config_name: afr-tsn
features:
- name: afr
dtype: string
- name: tsn
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1153686
num_examples: 3235
- name: test
num_bytes: 289346
num_examples: 809
download_size: 912706
dataset_size: 1443032
- config_name: afr-xho
features:
- name: afr
dtype: string
- name: xho
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1124390
num_examples: 3541
- name: test
num_bytes: 277280
num_examples: 886
download_size: 937590
dataset_size: 1401670
- config_name: default
features:
- name: nbl
dtype: string
- name: nso
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 128131
num_examples: 315
- name: test
num_bytes: 31826
num_examples: 79
download_size: 113394
dataset_size: 159957
- config_name: eng-sot
features:
- name: eng
dtype: string
- name: sot
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 970215
num_examples: 3053
- name: test
num_bytes: 235269
num_examples: 764
download_size: 772503
dataset_size: 1205484
- config_name: nbl-nso
features:
- name: nbl
dtype: string
- name: nso
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 128131
num_examples: 315
- name: test
num_bytes: 31826
num_examples: 79
download_size: 113394
dataset_size: 159957
- config_name: nso-tso
features:
- name: nso
dtype: string
- name: tso
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1194161
num_examples: 3379
- name: test
num_bytes: 307101
num_examples: 845
download_size: 923078
dataset_size: 1501262
- config_name: tsn-xho
features:
- name: tsn
dtype: string
- name: xho
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1248717
num_examples: 3416
- name: test
num_bytes: 306197
num_examples: 854
download_size: 983260
dataset_size: 1554914
- config_name: tso-ven
features:
- name: tso
dtype: string
- name: ven
dtype: string
- name: score
dtype: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 197128
num_examples: 428
- name: test
num_bytes: 45408
num_examples: 108
download_size: 158793
dataset_size: 242536
---
# The Vuk'uzenzele South African Multilingual Corpus
Github: [https://github.com/dsfsi/vukuzenzele-nlp/](https://github.com/dsfsi/vukuzenzele-nlp/)
Zenodo: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7598539.svg)](https://doi.org/10.5281/zenodo.7598539)
Arxiv Preprint: [![arXiv](https://img.shields.io/badge/arXiv-2303.03750-b31b1b.svg)](https://arxiv.org/abs/2303.03750)
Give Feedback 📑: [DSFSI Resource Feedback Form](https://docs.google.com/forms/d/e/1FAIpQLSf7S36dyAUPx2egmXbFpnTBuzoRulhL5Elu-N1eoMhaO7v10w/formResponse)
# About
The dataset was obtained from the South African government magazine Vuk'uzenzele, created by the [Government Communication and Information System (GCIS)](https://www.gcis.gov.za/).
The original raw PDFS were obtatined from the [Vuk'uzenzele website](https://www.vukuzenzele.gov.za/).
The datasets contain government magazine editions in 11 languages, namely:
| Language | Code | Language | Code |
|------------|-------|------------|-------|
| English | (eng) | Sepedi | (sep) |
| Afrikaans | (afr) | Setswana | (tsn) |
| isiNdebele | (nbl) | Siswati | (ssw) |
| isiXhosa | (xho) | Tshivenda | (ven) |
| isiZulu | (zul) | Xitstonga | (tso) |
| Sesotho | (nso) |
## Available pairings
The alignment direction is bidrectional, i.e. xho-zul is zul-xho
afr-eng; afr-nbl; afr-nso; afr-sot; afr-ssw; afr-tsn; afr-tso; afr-ven; afr-xho; afr-zul
eng-nbl; eng-nso; eng-sot ;eng-ssw; eng-tsn; eng-tso; eng-ven; eng-xho; eng-zul
nbl-nso; nbl-sot; nbl-ssw; nbl-tsn; nbl-tso; nbl-ven; nbl-xho; nbl-zul
nso-sot; nso-ssw; nso-tsn; nso-tso; nso-ven; nso-xho; nso-zul
sot-ssw; sot-tsn; sot-tso; sot-ven; sot-xho; sot-zul
ssw-tsn; ssw-tso; ssw-ven; ssw-xho; ssw-zul
tsn-tso; tsn-ven; tsn-xho; tsn-zul
tso-ven; tso-xho; tso-zul
ven-xho; ven-zul
xho-zul
# Disclaimer
This dataset contains machine-readable data extracted from PDF documents, from https://www.vukuzenzele.gov.za/, provided by the Government Communication Information System (GCIS). While efforts were made to ensure the accuracy and completeness of this data, there may be errors or discrepancies between the original publications and this dataset. No warranties, guarantees or representations are given in relation to the information contained in the dataset. The members of the Data Science for Societal Impact Research Group bear no responsibility and/or liability for any such errors or discrepancies in this dataset. The Government Communication Information System (GCIS) bears no responsibility and/or liability for any such errors or discrepancies in this dataset. It is recommended that users verify all information contained herein before making decisions based upon this information.
# Datasets
The datasets consist of pairwise sentence aligned data. There are 55 distinct datasets of paired sentences.
The data is obtained by comparing [LASER](https://github.com/facebookresearch/LASER) embeddings of sentence tokens between 2 languages. If the similarity is high, the sentences are deemed semantic equivalents of one another and the observation is outputted.
Naming convention:
The naming structure of the pairwise_sentence_aligned folder is `aligned-{src_lang_code}-{tgt_lang_code}.csv`.
For example, `aligned-afr-zul.csv` is the aligned sentences between Afrikaans and isiZulu.
The data is in .csv format and the columns are `src_text`,`tgt_text`,`cosine_score` where:
- `src_text` is the source sentence
- `tgt_text` is the target sentence
- `cosine_score` is the cosine similarity score obtained by comparing the sentence embeddings, it ranges from 0 to 1
**Note:** The notion of source (src) and target (tgt) are only necessary for distinction between the languages used in the aligned pair, as the sentence semantics should be bidirectional. (hallo <-> sawubona)
# Citation
Vukosi Marivate, Andani Madodonga, Daniel Njini, Richard Lastrucci, Isheanesu Dzingirai, Jenalea Rajab. **The Vuk'uzenzele South African Multilingual Corpus**, 2023
> @dataset{marivate_vukosi_2023_7598540,
author = {Marivate, Vukosi and
Njini, Daniel and
Madodonga, Andani and
Lastrucci, Richard and
Dzingirai, Isheanesu
Rajab, Jenalea},
title = {The Vuk'uzenzele South African Multilingual Corpus},
month = feb,
year = 2023,
publisher = {Zenodo},
doi = {10.5281/zenodo.7598539},
url = {https://doi.org/10.5281/zenodo.7598539}
}
### Licence
* Licence for Data - [CC 4.0 BY](LICENSE.md)