richardlastrucci's picture
Upload README.md with huggingface_hub
3654f34
|
raw
history blame
14.4 kB
metadata
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-nbl
    data_files:
      - split: train
        path: afr-nbl/train-*
      - split: test
        path: afr-nbl/test-*
  - config_name: afr-tsn
    data_files:
      - split: train
        path: afr-tsn/train-*
      - split: test
        path: afr-tsn/test-*
  - config_name: afr-tso
    data_files:
      - split: train
        path: afr-tso/train-*
      - split: test
        path: afr-tso/test-*
  - config_name: afr-ven
    data_files:
      - split: train
        path: afr-ven/train-*
      - split: test
        path: afr-ven/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: eng-ssw
    data_files:
      - split: train
        path: eng-ssw/train-*
      - split: test
        path: eng-ssw/test-*
  - config_name: nbl-nso
    data_files:
      - split: train
        path: nbl-nso/train-*
      - split: test
        path: nbl-nso/test-*
  - config_name: nbl-sot
    data_files:
      - split: train
        path: nbl-sot/train-*
      - split: test
        path: nbl-sot/test-*
  - config_name: nbl-zul
    data_files:
      - split: train
        path: nbl-zul/train-*
      - split: test
        path: nbl-zul/test-*
  - config_name: nso-tso
    data_files:
      - split: train
        path: nso-tso/train-*
      - split: test
        path: nso-tso/test-*
  - config_name: nso-ven
    data_files:
      - split: train
        path: nso-ven/train-*
      - split: test
        path: nso-ven/test-*
  - config_name: sot-tsn
    data_files:
      - split: train
        path: sot-tsn/train-*
      - split: test
        path: sot-tsn/test-*
  - config_name: sot-xho
    data_files:
      - split: train
        path: sot-xho/train-*
      - split: test
        path: sot-xho/test-*
  - config_name: tsn-ven
    data_files:
      - split: train
        path: tsn-ven/train-*
      - split: test
        path: tsn-ven/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-*
  - config_name: tso-xho
    data_files:
      - split: train
        path: tso-xho/train-*
      - split: test
        path: tso-xho/test-*
  - config_name: ven-zul
    data_files:
      - split: train
        path: ven-zul/train-*
      - split: test
        path: ven-zul/test-*
dataset_info:
  - config_name: afr-nbl
    features:
      - name: afr
        dtype: string
      - name: nbl
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 319402
        num_examples: 826
      - name: test
        num_bytes: 79869
        num_examples: 207
    download_size: 272468
    dataset_size: 399271
  - 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-tso
    features:
      - name: afr
        dtype: string
      - name: tso
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 1123041
        num_examples: 3374
      - name: test
        num_bytes: 281981
        num_examples: 844
    download_size: 899676
    dataset_size: 1405022
  - config_name: afr-ven
    features:
      - name: afr
        dtype: string
      - name: ven
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 400519
        num_examples: 948
      - name: test
        num_bytes: 99457
        num_examples: 238
    download_size: 317431
    dataset_size: 499976
  - 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: eng-ssw
    features:
      - name: eng
        dtype: string
      - name: ssw
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 945394
        num_examples: 3043
      - name: test
        num_bytes: 237382
        num_examples: 761
    download_size: 774113
    dataset_size: 1182776
  - 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: nbl-sot
    features:
      - name: nbl
        dtype: string
      - name: sot
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 171112
        num_examples: 417
      - name: test
        num_bytes: 41348
        num_examples: 105
    download_size: 148051
    dataset_size: 212460
  - config_name: nbl-zul
    features:
      - name: nbl
        dtype: string
      - name: zul
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 130284
        num_examples: 331
      - name: test
        num_bytes: 30080
        num_examples: 83
    download_size: 116611
    dataset_size: 160364
  - 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: nso-ven
    features:
      - name: nso
        dtype: string
      - name: ven
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 176023
        num_examples: 392
      - name: test
        num_bytes: 46433
        num_examples: 98
    download_size: 146858
    dataset_size: 222456
  - config_name: sot-tsn
    features:
      - name: sot
        dtype: string
      - name: tsn
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 1272351
        num_examples: 3450
      - name: test
        num_bytes: 319100
        num_examples: 863
    download_size: 976754
    dataset_size: 1591451
  - config_name: sot-xho
    features:
      - name: sot
        dtype: string
      - name: xho
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 1186991
        num_examples: 3541
      - name: test
        num_bytes: 296579
        num_examples: 886
    download_size: 961117
    dataset_size: 1483570
  - config_name: tsn-ven
    features:
      - name: tsn
        dtype: string
      - name: ven
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 202072
        num_examples: 412
      - name: test
        num_bytes: 49875
        num_examples: 104
    download_size: 160701
    dataset_size: 251947
  - 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
  - config_name: tso-xho
    features:
      - name: tso
        dtype: string
      - name: xho
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 1197163
        num_examples: 3504
      - name: test
        num_bytes: 299170
        num_examples: 876
    download_size: 961678
    dataset_size: 1496333
  - config_name: ven-zul
    features:
      - name: ven
        dtype: string
      - name: zul
        dtype: string
      - name: score
        dtype: float64
      - name: __index_level_0__
        dtype: int64
    splits:
      - name: train
        num_bytes: 159504
        num_examples: 384
      - name: test
        num_bytes: 42320
        num_examples: 96
    download_size: 139982
    dataset_size: 201824

The Vuk'uzenzele South African Multilingual Corpus

Github: https://github.com/dsfsi/vukuzenzele-nlp/

Zenodo: DOI

Arxiv Preprint: arXiv

Give Feedback 📑: DSFSI Resource Feedback Form

About

The dataset was obtained from the South African government magazine Vuk'uzenzele, created by the Government Communication and Information System (GCIS). The original raw PDFS were obtatined from the Vuk'uzenzele website.

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 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