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--- |
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language: |
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- eng |
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- afr |
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- nbl |
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- xho |
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- zul |
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- sot |
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- nso |
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- tsn |
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- ssw |
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- ven |
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- tso |
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license: cc-by-4.0 |
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task_categories: |
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- sentence-similarity |
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- translation |
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pretty_name: The Vuk'uzenzele South African Multilingual Corpus |
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tags: |
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- multilingual |
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- government |
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arxiv: 2303.0375 |
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configs: |
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- config_name: afr-nbl |
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data_files: |
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- split: train |
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path: afr-nbl/train-* |
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- split: test |
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path: afr-nbl/test-* |
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- config_name: afr-tsn |
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data_files: |
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- split: train |
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path: afr-tsn/train-* |
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- split: test |
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path: afr-tsn/test-* |
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- config_name: afr-tso |
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data_files: |
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- split: train |
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path: afr-tso/train-* |
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- split: test |
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path: afr-tso/test-* |
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- config_name: afr-ven |
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data_files: |
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- split: train |
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path: afr-ven/train-* |
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- split: test |
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path: afr-ven/test-* |
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- config_name: afr-xho |
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data_files: |
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- split: train |
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path: afr-xho/train-* |
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- split: test |
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path: afr-xho/test-* |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
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path: data/test-* |
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- config_name: eng-sot |
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data_files: |
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- split: train |
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path: eng-sot/train-* |
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- split: test |
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path: eng-sot/test-* |
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- config_name: eng-ssw |
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data_files: |
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- split: train |
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path: eng-ssw/train-* |
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- split: test |
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path: eng-ssw/test-* |
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- config_name: nbl-nso |
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data_files: |
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- split: train |
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path: nbl-nso/train-* |
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- split: test |
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path: nbl-nso/test-* |
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- config_name: nbl-sot |
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data_files: |
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- split: train |
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path: nbl-sot/train-* |
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- split: test |
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path: nbl-sot/test-* |
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- config_name: nbl-zul |
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data_files: |
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- split: train |
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path: nbl-zul/train-* |
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- split: test |
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path: nbl-zul/test-* |
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- config_name: nso-tso |
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data_files: |
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- split: train |
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path: nso-tso/train-* |
|
- split: test |
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path: nso-tso/test-* |
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- config_name: nso-ven |
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data_files: |
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- split: train |
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path: nso-ven/train-* |
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- split: test |
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path: nso-ven/test-* |
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- config_name: sot-tsn |
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data_files: |
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- split: train |
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path: sot-tsn/train-* |
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- split: test |
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path: sot-tsn/test-* |
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- config_name: sot-xho |
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data_files: |
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- split: train |
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path: sot-xho/train-* |
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- split: test |
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path: sot-xho/test-* |
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- config_name: tsn-ven |
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data_files: |
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- split: train |
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path: tsn-ven/train-* |
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- split: test |
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path: tsn-ven/test-* |
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- config_name: tsn-xho |
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data_files: |
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- split: train |
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path: tsn-xho/train-* |
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- split: test |
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path: tsn-xho/test-* |
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- config_name: tso-ven |
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data_files: |
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- split: train |
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path: tso-ven/train-* |
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- split: test |
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path: tso-ven/test-* |
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- config_name: tso-xho |
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data_files: |
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- split: train |
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path: tso-xho/train-* |
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- split: test |
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path: tso-xho/test-* |
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- config_name: ven-zul |
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data_files: |
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- split: train |
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path: ven-zul/train-* |
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- split: test |
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path: ven-zul/test-* |
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dataset_info: |
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- config_name: afr-nbl |
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features: |
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- name: afr |
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num_examples: 826 |
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- name: test |
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num_bytes: 79869 |
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num_examples: 207 |
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download_size: 272468 |
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dataset_size: 399271 |
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- config_name: afr-tsn |
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features: |
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- name: afr |
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dtype: string |
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- name: tsn |
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dtype: string |
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- name: score |
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dtype: float64 |
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- name: __index_level_0__ |
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dtype: int64 |
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num_examples: 809 |
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download_size: 912706 |
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dataset_size: 1443032 |
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- config_name: afr-tso |
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features: |
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num_examples: 844 |
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download_size: 899676 |
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dataset_size: 1405022 |
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- config_name: afr-ven |
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features: |
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- name: afr |
|
dtype: string |
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- name: score |
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download_size: 317431 |
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dataset_size: 499976 |
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- config_name: afr-xho |
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features: |
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- name: afr |
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download_size: 937590 |
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dataset_size: 1401670 |
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- config_name: default |
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features: |
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- name: nso |
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- name: score |
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download_size: 113394 |
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dataset_size: 159957 |
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- config_name: eng-sot |
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features: |
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- name: eng |
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dtype: string |
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- name: sot |
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dtype: string |
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- name: score |
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download_size: 772503 |
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dataset_size: 1205484 |
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- config_name: eng-ssw |
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features: |
|
- name: eng |
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dtype: string |
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- name: ssw |
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dtype: string |
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- name: score |
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- config_name: nbl-nso |
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features: |
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- name: nbl |
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download_size: 113394 |
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dataset_size: 159957 |
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- config_name: nbl-sot |
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features: |
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- name: nbl |
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download_size: 148051 |
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dataset_size: 212460 |
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- config_name: nbl-zul |
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features: |
|
- name: nbl |
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dtype: string |
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- name: zul |
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dtype: string |
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- name: score |
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dataset_size: 160364 |
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- config_name: nso-tso |
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features: |
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- name: nso |
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- name: tso |
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dataset_size: 1501262 |
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- config_name: nso-ven |
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features: |
|
- name: nso |
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dtype: string |
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- name: ven |
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dtype: string |
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- name: score |
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- config_name: sot-tsn |
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features: |
|
- name: sot |
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dtype: string |
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- name: tsn |
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dtype: string |
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- config_name: sot-xho |
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features: |
|
- name: sot |
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- config_name: ven-zul |
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features: |
|
- name: ven |
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dtype: string |
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- name: zul |
|
dtype: string |
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download_size: 139982 |
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dataset_size: 201824 |
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--- |
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|
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# The Vuk'uzenzele South African Multilingual Corpus |
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|
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Github: [https://github.com/dsfsi/vukuzenzele-nlp/](https://github.com/dsfsi/vukuzenzele-nlp/) |
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|
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Zenodo: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7598539.svg)](https://doi.org/10.5281/zenodo.7598539) |
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Arxiv Preprint: [![arXiv](https://img.shields.io/badge/arXiv-2303.03750-b31b1b.svg)](https://arxiv.org/abs/2303.03750) |
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Give Feedback 📑: [DSFSI Resource Feedback Form](https://docs.google.com/forms/d/e/1FAIpQLSf7S36dyAUPx2egmXbFpnTBuzoRulhL5Elu-N1eoMhaO7v10w/formResponse) |
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|
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# About |
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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/). |
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The original raw PDFS were obtatined from the [Vuk'uzenzele website](https://www.vukuzenzele.gov.za/). |
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|
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The datasets contain government magazine editions in 11 languages, namely: |
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|
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| Language | Code | Language | Code | |
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|------------|-------|------------|-------| |
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| English | (eng) | Sepedi | (sep) | |
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| Afrikaans | (afr) | Setswana | (tsn) | |
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| isiNdebele | (nbl) | Siswati | (ssw) | |
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| isiXhosa | (xho) | Tshivenda | (ven) | |
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| isiZulu | (zul) | Xitstonga | (tso) | |
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| Sesotho | (nso) | |
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|
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## Available pairings |
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|
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The alignment direction is bidrectional, i.e. xho-zul is zul-xho |
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|
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afr-eng; afr-nbl; afr-nso; afr-sot; afr-ssw; afr-tsn; afr-tso; afr-ven; afr-xho; afr-zul |
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eng-nbl; eng-nso; eng-sot ;eng-ssw; eng-tsn; eng-tso; eng-ven; eng-xho; eng-zul |
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nbl-nso; nbl-sot; nbl-ssw; nbl-tsn; nbl-tso; nbl-ven; nbl-xho; nbl-zul |
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nso-sot; nso-ssw; nso-tsn; nso-tso; nso-ven; nso-xho; nso-zul |
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sot-ssw; sot-tsn; sot-tso; sot-ven; sot-xho; sot-zul |
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ssw-tsn; ssw-tso; ssw-ven; ssw-xho; ssw-zul |
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tsn-tso; tsn-ven; tsn-xho; tsn-zul |
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tso-ven; tso-xho; tso-zul |
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ven-xho; ven-zul |
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xho-zul |
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|
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# Disclaimer |
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|
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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. |
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|
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# Datasets |
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The datasets consist of pairwise sentence aligned data. There are 55 distinct datasets of paired sentences. |
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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. |
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Naming convention: |
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The naming structure of the pairwise_sentence_aligned folder is `aligned-{src_lang_code}-{tgt_lang_code}.csv`. |
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For example, `aligned-afr-zul.csv` is the aligned sentences between Afrikaans and isiZulu. |
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|
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The data is in .csv format and the columns are `src_text`,`tgt_text`,`cosine_score` where: |
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- `src_text` is the source sentence |
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- `tgt_text` is the target sentence |
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- `cosine_score` is the cosine similarity score obtained by comparing the sentence embeddings, it ranges from 0 to 1 |
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|
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**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) |
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|
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# Citation |
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Vukosi Marivate, Andani Madodonga, Daniel Njini, Richard Lastrucci, Isheanesu Dzingirai, Jenalea Rajab. **The Vuk'uzenzele South African Multilingual Corpus**, 2023 |
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|
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> @dataset{marivate_vukosi_2023_7598540, |
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author = {Marivate, Vukosi and |
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Njini, Daniel and |
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Madodonga, Andani and |
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Lastrucci, Richard and |
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Dzingirai, Isheanesu |
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Rajab, Jenalea}, |
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title = {The Vuk'uzenzele South African Multilingual Corpus}, |
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month = feb, |
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year = 2023, |
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publisher = {Zenodo}, |
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doi = {10.5281/zenodo.7598539}, |
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url = {https://doi.org/10.5281/zenodo.7598539} |
|
} |
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|
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### Licence |
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* Licence for Data - [CC 4.0 BY](LICENSE.md) |
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|