DigitalUmuganda/Afrivoice_V2

Dataset Card for the image text and voice dataset

Dataset Description

This is an image prompt ASR dataset 4 African languages; Kirundi, Ndau, Ndebele, and Oshiwambo. Each language was collected on at most 2 domains.

Language	Domain	Total hours	Total transcribed hours	Total clips	Size (GB)
Kirundi	Agriculture	125.42	125.42	24,926	7.2241
	Education	255.49	255.49	48,229	16.4548
	Sub Total	380.92	380.92	73,155	23.6789
Ndau	Education	60.28	60.28	11,670	4.0830
	Health	266.30	266.30	51,719	12.9714
	Sub Total	326.59	326.59	63,389	17.0544
Ndebele	Education	89.82	89.82	16,796	5.8412
	Health	353.15	353.15	66,456	16.5682
	Sub Total	442.96	442.96	83,252	22.4094
Oshiwambo	Agriculture	143.14	143.14	24,827	8.4778
	Finance	99.14	99.14	17,300	5.8693
	Sub Total	242.29	242.29	42,127	14.3471
Total		1,392.76	1,392.76	261,923	77.4898

How to use

The huggingface_hub library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded in one call to your local drive by using the snapshow_download function.

For full dataset

from huggingface_hub import snapshot_download                                                   

snapshot_download(
    repo_id="DigitalUmuganda/Afrivoice_V2",
    repo_type='dataset',
    local_dir='<destination_dir>'
    )

Download a particular language

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="DigitalUmuganda/Afrivoice_V2",
    repo_type="dataset",
    local_dir="<destination_dir>",
    allow_patterns="Kirundi/*"
)

The languages options are:

• Kirundi
• Ndau
• Ndebele
• Oshiwambo

Dataset Structure

Data Instance

{
    "voice_creator_id":"KGDIxAHRYAOvBRkfZGgi5708Hz82",
    "image_filepath":"6cbf90cf3951_0.jpg",
    "image_category":"agriculture",
    "image_sub_category":"Food banks & food crops and farmers",
    "category":"agriculture",
    "audio_filepath":"UKfpM5rleuyc0T85HWOn.webm",
    "transcription":"Abagabo batatu bahagaze mu murima, bikoreye ku bitugu, udukoresho babikamwo ivyo basoromye. Inyuma y'abo hakaba hari ibiti bitari bike bihatewe.",
    "normalized_transcription":"abagabo batatu bahagaze mu murima bikoreye ku bitugu udukoresho babikamwo ivyo basoromye inyuma yabo hakaba hari ibiti bitari bike bihatewe",
    "age_group":"18-24",
    "gender":"Male",
    "project_name":"Digital Umuganda",
    "locale":null,
    "year":2025,
    "duration":15.48,
    "location":null,
    "uid":"KGDIxAHRYAOvBRkfZGgi5708Hz82",
    "key":"UKfpM5rleuyc0T85HWOn",
    "dir_path":"agriculture_kirundi_dev",
    "shard_id":0,
    "image_shard_id":0
}

Data Fields

voice_creator_id (string): An id for which client (voice) made the recording

transcription_creator_id (string): An id for which client (text) made the transcription

transcription (string): Original audio transcription with punctuation and capitalization

normalized_transcription (string): Original audio transcription without punctuation and capitalization

image_filepath (string): file path of the image file inside the dataset

audio_filepath (string): file path of the audio file inside the dataset

dir_path (string): main directory path of the record

shard_id (string): chunk identification number where the audio record belong

image_shard_id (string): chunk identification number where the image record belong

age_group (string): age range of the audio recorder

gender (string): The gender of the speaker

location (string): geographical location of the audio recorder

duration (int): length in seconds of the audio file

image_category (string): domain of the image (eg: health, agriculture, finance), used as prompt during audio creation.

image_sub_category (string): Sub-domain label of the image (e.g., within agriculture: “seed farming” or “forestry”), used to guide audio creation.

category (string): category of the record

project (string): project name

locale (string): The locale of the speaker

year (int): Year of recording

project_name (string): project name

location (string): location of the project

key (string): key identifier of the data point

Licensing Information

All datasets are licensed under the Creative Commons license (CC-BY-4).