annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- sn
- ln
- ful
- mg
license: cc-by-4.0
Dataset Card for the image text and voice dataset
Dataset Description
Each datapoint in this dataset consists of a JPEG image, a corresponding audio WAV file describing the image, and when available, the transcription of the audio file.
| Language | Language Code | Total Audio Hours | Transcribed Audio Hours |
|---|---|---|---|
| Shona | sn | 574.16 | 100.00 |
| Lingala | ln | 517.13 | 100.98 |
| Fulani | ful | 527.45 | 102.00 |
| Malagasy | mg | 516.21 | 102.42 |
| Wolof | wo | 530.74 | 102.96 |
| Somali | so | 535.51 | 104.54 |
Languages
Shona, Lingala, Fulani, Malagasy
How to use
Direct download of the whole dataset to a local directory
from huggingface_hub import snapshot_download
snapshot_download(repo_id="DigitalUmuganda/Afrivoice_Kinyarwanda",repo_type='dataset',local_dir='<destination_dir>')
Or, to download a particular language
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="DigitalUmuganda/Afrivoice_Kinyarwanda",
repo_type="dataset",
local_dir="<destination_dir>",
allow_patterns="Fulani/*"
)
Dataset Structure
Data Instances
{'creator': 'digital_umuganda',
'project_name': 'shona_data_collection',
'speaker_id': '2Eud8lyLlsMcciYhmlkwVRtBwi82',
'audio_path': '/root/.cache/huggingface/datasets/downloads/extracted/9347eb035e3ae38aaf793efa152ba1c93a4336471afce2bbd00ac8c0f67e9066/small_data/audio/I7L1YJVKIRL4.wav',
'image_path': '/root/.cache/huggingface/datasets/downloads/extracted/9347eb035e3ae38aaf793efa152ba1c93a4336471afce2bbd00ac8c0f67e9066/small_data/image/I7L1YJVKIRL4.jpeg',
'transcription': 'Varume vaviri vari kukandirana bhora. Varume ava vakapfeka zvipika zvine ruvara rutema neruchena. Zvikabudura zvine ruvara rutema. Bhora ravanokandirana rine ruvara rweyero neruchena nerwebhuruu. Vari kutambira munhandare ine ivhu. Kumashure kwavo kwakagara vanhu.',
'locale': 'sn_ZW',
'gender': 'Female',
'age': ' ',
'year': '2023'}
Data Fields
creator (string): An id for which client (voice) made the recording
image_path (string): The path to the audio file
path_audio (string): The path to the image file
transcription (string): The sentence the user was prompted to speak
age (string): The age of the speaker
gender (string): The gender of the speaker
project_name (string): Name of the project
locale (string): The locale of the speaker
year (string): Year of recording
Data Splits
Currently to data not yet split ie to access you must precise the train option, however the dataset will be split into train, dev, and test at some point in the future.