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]](/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.
By Kathy Reid · Mozilla Data Collective Ask a Queenslander to say "no worries" into a Home Assistant Voice Preview. There's a decent chance it mishears them. Ask someone from Radelaide and things get worse. Ask anyone who grew up calling things "heaps good" and
Panjebar Semangat, a weekly Javanese-language magazine established before Indonesian independence, is collaborating with Mozilla Data Collective to advance community-governed language dataset frameworks.
Mozilla Data Collective is building towards a multicultural, multilingual, and multimodal future that works for all of us. And over the past few months, we’ve listened as people have flagged what kinds of datasets they need, but are struggling to find. So we’re pleased to announce that MDC
This week: 19 new datasets and a few small changes while we're heads down in some exciting new features that will be coming soon...
We get a lot of questions about how to approach licensing your data for AI training. So to help you share your datasets, we’ve compiled some guidance here – it’s intended to be a living document, that we iterate with our partners and communities. Explore Mozilla Data Collective What
Overcoming the complexity of AI Mozilla Data Collective helps communities to offer unique, multilingual, multicultural, and multimodal datasets. From transcribed and translated videos of narrated Ekpeye folktales to complex question-answering text pairs for the Georgian language, the diversity of datasets on our platform is core to our mission. But with
The institutions that safeguard humanity's cultural memory, galleries, libraries, archives, and museums (collectively known as the GLAM sector) are confronting a paradox that defines the current moment in AI development. Years of careful digitization of their archives have transformed physical collections into vast, machine-readable repositories of human knowledge.