When you upload a new dataset to Mozilla Data Collective, you will need to fill in a datasheet that accompanies the dataset. After your dataset is approved, you are able to edit some of the fields on the datasheet, but not others. Fields that cannot be edited once your dataset
The origin of Swahili language Swahili originated from the Indian ocean and has its route from the contacts of Arabian traders with the inhabitants of the east coast of Africa over many centuries. Swahili is the lingua franca of most east african countries spoken largely in countries such as Tanzania,
We're excited to share that the Mozilla Data Collective Data Assistant is now available in Alpha. Visit https://mozilladatacollective.com/chat to get started.
Author: Alek Tarkowski For the last twenty five years, standardized open licenses were increasingly seen as a main tool for democratizing access to knowledge. Over less then a decade, a relatively narrow set of canonical choices emerged: the Creative Commons licensing stack https://creativecommons.org/licenses/list.en, coupled with
Today we’re so excited to announce exciting platform changes to Mozilla Data Collective that bring us closer to fulfilling our promise to give everyone the Data Platform for Human Agency and Fair Value Exchange.
With this release, uploaders can now gate access to their datasets, requiring users to request permission and share their email address before downloading.
A step-by-step developer tutorial from Kostis at Mozilla Data Collective
In this video, produced by the Data Nutrition Project and illustrated by Jessica Yurkofsky, you'll learn more about the role of the datasheet and how you can use it to give clear guidance to potential downloaders about how your data can (and can't!) be used.
In mid-April, Mozilla Data Collective's primary domain will change to mozilladatacollective.com
379 new datasets with a Mozilla Common Voice update, improvements to the Python SDK (make sure you update to the latest!) and a preview of an upcoming feature. 👀
Thorsten Müller has created five TTS voice datasets totaling 40 hours of German speech data. In this community-authored post, he speaks to the importance of sharing his voice.
![On contributing my Thorsten-Voice voice datasets [DE]](https://storage.ghost.io/c/ff/ca/ffcaf12e-8ea8-4d92-a7c4-6446e2c332cd/content/images/size/w600/2026/03/pexels-llane-a-3710191.jpg)
Thorsten Müller hat fünf TTS-Stimmdatensätze mit insgesamt 40 Stunden an deutschen Sprachdaten erstellt. In diesem von der Community verfassten Beitrag spricht er über die Bedeutung, seine Stimme zu teilen.