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configs: |
|
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- config_name: multispeaker-ach |
|
|
data_files: |
|
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- split: train |
|
|
path: multispeaker-ach/train-* |
|
|
- split: dev |
|
|
path: multispeaker-ach/dev-* |
|
|
- split: test |
|
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path: multispeaker-ach/test-* |
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- config_name: multispeaker-eng |
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data_files: |
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- split: train |
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|
path: multispeaker-eng/train-* |
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- split: dev |
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|
path: multispeaker-eng/dev-* |
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- split: test |
|
|
path: multispeaker-eng/test-* |
|
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- config_name: multispeaker-lgg |
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|
data_files: |
|
|
- split: train |
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path: multispeaker-lgg/train-* |
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- split: dev |
|
|
path: multispeaker-lgg/dev-* |
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|
- split: test |
|
|
path: multispeaker-lgg/test-* |
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|
data_files: |
|
|
- split: train |
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|
path: multispeaker-lug/train-* |
|
|
- split: dev |
|
|
path: multispeaker-lug/dev-* |
|
|
- split: test |
|
|
path: multispeaker-lug/test-* |
|
|
- config_name: multispeaker-nyn |
|
|
data_files: |
|
|
- split: train |
|
|
path: multispeaker-nyn/train-* |
|
|
- split: dev |
|
|
path: multispeaker-nyn/dev-* |
|
|
- split: test |
|
|
path: multispeaker-nyn/test-* |
|
|
- config_name: multispeaker-teo |
|
|
data_files: |
|
|
- split: train |
|
|
path: multispeaker-teo/train-* |
|
|
- split: dev |
|
|
path: multispeaker-teo/dev-* |
|
|
- split: test |
|
|
path: multispeaker-teo/test-* |
|
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- config_name: studio-ach |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-ach/train-* |
|
|
- split: dev |
|
|
path: studio-ach/dev-* |
|
|
- split: test |
|
|
path: studio-ach/test-* |
|
|
- config_name: studio-eng |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-eng/train-* |
|
|
- split: dev |
|
|
path: studio-eng/dev-* |
|
|
- split: test |
|
|
path: studio-eng/test-* |
|
|
- config_name: studio-lgg |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-lgg/train-* |
|
|
- split: dev |
|
|
path: studio-lgg/dev-* |
|
|
- split: test |
|
|
path: studio-lgg/test-* |
|
|
- config_name: studio-lug |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-lug/train-* |
|
|
- split: dev |
|
|
path: studio-lug/dev-* |
|
|
- split: test |
|
|
path: studio-lug/test-* |
|
|
- config_name: studio-nyn |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-nyn/train-* |
|
|
- split: dev |
|
|
path: studio-nyn/dev-* |
|
|
- split: test |
|
|
path: studio-nyn/test-* |
|
|
- config_name: studio-swa |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-swa/train-* |
|
|
- split: dev |
|
|
path: studio-swa/dev-* |
|
|
- split: test |
|
|
path: studio-swa/test-* |
|
|
- config_name: studio-teo |
|
|
data_files: |
|
|
- split: train |
|
|
path: studio-teo/train-* |
|
|
- split: dev |
|
|
path: studio-teo/dev-* |
|
|
- split: test |
|
|
path: studio-teo/test-* |
|
|
- config_name: text-all |
|
|
data_files: |
|
|
- split: train |
|
|
path: text-all/train-* |
|
|
- split: dev |
|
|
path: text-all/dev-* |
|
|
- split: test |
|
|
path: text-all/test-* |
|
|
- config_name: text-hard |
|
|
data_files: |
|
|
- split: train |
|
|
path: text-hard/train-* |
|
|
license: cc-by-sa-4.0 |
|
|
task_categories: |
|
|
- automatic-speech-recognition |
|
|
- text-to-speech |
|
|
- translation |
|
|
language: |
|
|
- ach |
|
|
- eng |
|
|
- lgg |
|
|
- lg |
|
|
- nyn |
|
|
- teo |
|
|
- ttj |
|
|
- sw |
|
|
- xog |
|
|
pretty_name: Sunbird African Language Technology (SALT) dataset |
|
|
--- |
|
|
# Sunbird African Language Technology (SALT) dataset |
|
|
|
|
|
SALT is a multi-way parallel text and speech corpus of Engish and six languages widely spoken in Uganda and East Africa: Luganda, Lugbara, Acholi, Runyankole, Ateso and Swahili. |
|
|
The core of the dataset is a set of 25,000 sentences covering a range of topics of local relevance, such as agriculture, health and society. |
|
|
Each sentence is translated into all languages, to support machine translation, and speech recordings are made for approximately 5,000 of the sentences both by a variety of speakers in natural settings (suitable for ASR) and by professionals in a studio setting (suitable for text-to-speech). |
|
|
|
|
|
## Subsets |
|
|
|
|
|
| Subset name | Contents | |
|
|
| --------- | ------- | |
|
|
| text-all | Text translations of each sentence. | |
|
|
| text-hard | Text translations of each sentence. | |
|
|
| multispeaker-`{lang}` | Speech recordings of each sentence, by a variety of speakers in natural settings. | |
|
|
| studio-`{lang}` | Speech recordings in a studio setting, suitable for text-to-speech. | |
|
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The sentence IDs map across subsets, so that for example the text of a sentence in Acholi can be mapped to the studio recording of that concept being expressed in Swahili. |
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The subsets can therefore be combined to support the training and evaluation of several further tasks, such as speech-to-text translation and speech-to-speech translation. |
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## Language support |
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| ISO 639-3 | Language | Translated text | Multispeaker speech | Studio speech | |
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| --- | --- | --- | --- | --- | |
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| eng | English (Ugandan accent) | Yes | Yes | Yes | |
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| lug | Luganda | Yes | Yes | Yes | |
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| ach | Acholi | Yes | Yes | Yes | |
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| lgg | Lugbara | Yes | Yes | Yes | |
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| teo | Ateso | Yes | Yes | Yes | |
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| nyn | Runyankole | Yes | Yes | Yes | |
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| swa | Swahili | Yes | No | Yes | |
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| ibo | Igbo | Yes | No | No | |
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| ttj | Rutooro | Yes | No | No | |
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| xog | Lusoga | Yes | No | No | |
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## Helper utilities |
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Code for convenient experimentation with multilingual models can be found at [https://github.com/SunbirdAI/salt](https://github.com/SunbirdAI/salt). |
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See example notebooks [here](https://github.com/SunbirdAI/salt/tree/main/notebooks). |
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## Collaborators |
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This dataset was collected in practical collaboration between Sunbird AI and the Makerere University AI Lab (Ugandan languages) and KenCorpus, Maseno University (Swahili). |
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## Reference |
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[Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda](https://openreview.net/pdf?id=BK-z5qzEU-9). Benjamin Akera, Jonathan Mukiibi, Lydia Sanyu Naggayi, Claire Babirye, Isaac Owomugisha, Solomon Nsumba, Joyce Nakatumba-Nabende, Engineer Bainomugisha, Ernest Mwebaze, John Quinn. 3rd Workshop on African Natural Language Processing, 2022. |
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