Rebuilding the AI data ecosystem - with communities at the centre

On contributing my Thorsten-Voice voice datasets

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]

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.

Why Whisper Still Struggles with Australian English - and What We Did About It

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

How can a nearly century-old publisher remain relevant and continue to grow?

Panjebar Semangat, a weekly Javanese-language magazine established before Indonesian independence, is collaborating with Mozilla Data Collective to advance community-governed language dataset frameworks.

Call for proposals: MDC is commissioning mission-aligned datasets!

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

MDC Release Notes - 13.03.26

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...

How to License Your Dataset for AI Training: Some Best Practices

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

Behind the scenes: Integrating MDC datasets into your Python project

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

Cultural Heritage and AI: How Institutions Can Reclaim Control of Their Data

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.

Using the MDC Python SDK Library to Download Datasets

In this guide, you will learn how to use the MDC Python SDK Library to download datasets from the Mozilla Data Collective website.

MDC Release Notes - 27.02.26

This week: dataset filtering, enhanced uploader request flow, API improvements, and 20 new datasets!

MDC Release Notes - 13.02.26

This week: new features for uploaders, updates to dataset search, and new datasets on MDC!