DigitalUmuganda/Afrivoice

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.