autshumato / README.md
lhoestq's picture
lhoestq HF staff
rename configs to config_name
9e0ec3c
metadata
annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
language:
  - en
  - tn
  - ts
  - zu
license:
  - cc-by-2.5
multilinguality:
  - multilingual
size_categories:
  - 100K<n<1M
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: null
pretty_name: autshumato
dataset_info:
  - config_name: autshumato-en-tn
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - tn
    splits:
      - name: train
        num_bytes: 28826392
        num_examples: 159000
    download_size: 9458762
    dataset_size: 28826392
  - config_name: autshumato-en-zu
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - zu
    splits:
      - name: train
        num_bytes: 7188970
        num_examples: 35489
    download_size: 2068891
    dataset_size: 7188970
  - config_name: autshumato-en-ts
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - ts
    splits:
      - name: train
        num_bytes: 50803849
        num_examples: 450000
    download_size: 15145915
    dataset_size: 50803849
  - config_name: autshumato-en-ts-manual
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - ts
    splits:
      - name: train
        num_bytes: 10408757
        num_examples: 92396
    download_size: 2876924
    dataset_size: 10408757
  - config_name: autshumato-tn
    features:
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 5132267
        num_examples: 38206
    download_size: 1599029
    dataset_size: 5132267
  - config_name: autshumato-ts
    features:
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 3399674
        num_examples: 58398
    download_size: 974488
    dataset_size: 3399674
config_names:
  - autshumato-en-tn
  - autshumato-en-ts
  - autshumato-en-ts-manual
  - autshumato-en-zu
  - autshumato-tn
  - autshumato-ts

Dataset Card for autshumato

Table of Contents

Dataset Description

Dataset Summary

Multilingual information access is stipulated in the South African constitution. In practise, this is hampered by a lack of resources and capacity to perform the large volumes of translation work required to realise multilingual information access. One of the aims of the Autshumato project is to develop machine translation systems for three South African languages pairs.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

[More Information Needed]

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

[More Information Needed]

Annotation process

[More Information Needed]

Who are the annotators?

[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

[More Information Needed]

Dataset Curators

[More Information Needed]

Licensing Information

Citation Information

@article{groenewald2010processing,
  title={Processing parallel text corpora for three South African language pairs in the Autshumato project},
  author={Groenewald, Hendrik J and du Plooy, Liza},
  journal={AfLaT 2010},
  pages={27},
  year={2010}
}

Contributions

Thanks to @Narsil for adding this dataset.