DigitalUmuganda/Afrivoice_Swahili_0.0

Dataset summary

Domain	Total number of hours	Total number of transcribed hours	Total number of clips	Total Size of the dataset in GB
Agriculture	35.19	35.19	5,852	2.6
Health	62.11	62.11	10,315	6.4
Finance	118.75	118.75	19,629	16.6
Government	106.41	106.41	17,530	12.1
Education	91.96	91.96	15,204	6.2
Total	414.42	414.42	68,530	43.9

How to use

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

from datasets import load_dataset
data = load_dataset("DigitalUmuganda/Afrivoice_Swahili")

Dataset Structure

Data Instance

{'voice_creator_id': 'goqlpECAb5VyBnZwKBjzdtFSuhL2',
 'image_filepath': 'mbGOfQYRpwRyk023O70C.jpg',
 'image_category': 'Education',
 'image_sub_category': 'Special Needs Education',
 'audio_filepath': 'audio_mbGOfQYRpwRyk023O70C.webm',
 'raw_text': 'Hili ni darasa la vijana walemavu. Wanafunzi hawa wanafunzwa jinsi ya kutumia mashine ambayo huwafunza jinsi ya kuandika na kusoma.',
 'age_group': '50+',
 'gender': 'Male',
 'project_name': 'SWAHILI_KENYA',
 'locale': 'sw_KE',
 'year': 2025,
 'duration': 15.596,
 'location': 'Nairobi',
 'text': 'hili ni darasa la vijana walemavu wanafunzi hawa wanafunzwa jinsi ya kutumia mashine ambayo huwafunza jinsi ya kuandika na kusoma',
 'shard_id': 0,
 'image_shard_id': 0}

Data Fields

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

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

image_filepath (string): name of the image file inside the shard

audio_filepath (string): name of the audio file inside the shard

text (string): normalized audio transcription (i.e: without punctuation and capitalization)

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.

shard_id (int): index of the shard containing the audio file in the audio_filepath column.

image_shard_id (int): index of the shard containing the image in the image_filepath column.

project (string): project name

locale (string): The locale of the speaker

year (int): Year of recording

Licensing Information

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