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.
In this guide, you will learn how to use the MDC Python SDK Library to download datasets from the Mozilla Data Collective website.
This week: dataset filtering, enhanced uploader request flow, API improvements, and 20 new datasets!
This week: new features for uploaders, updates to dataset search, and new datasets on MDC!
A practical guide for communities creating datasets together—no legal expertise required. Based on our data governance workshop at Mozilla Festival Zambia 2024 Your community has created something valuable: a dataset. Maybe it's voice recordings in your language. Maybe it's traditional knowledge, local photographs, or cultural
Mozilla Data Collective has an amazing opportunity for you to get a free ticket to the 2026 Mozilla Festival in beautiful Barcelona, Spain this November, 2026. We are looking for feedback to inform our 2026 roadmap. Help shape the future of ethical data-sharing by filling out the form below
If you need to remove a dataset from Mozilla Data Collective after it has been published, you can make your dataset private through the following steps: 1. Sign into your account - make sure you are using the account that published the dataset originally 2. Go to your Profile >
You might be sitting on something precious The modern world runs on data. One unfortunate result of this is the fact that many of us are unknowingly producing data for third-party companies, who use our content and actions as data points to make AI models that they then sell back
The internet belongs to everyone—but right now, it doesn't work for everyone. From the islands of Borneo to the mountains of Pakistan, hundreds of millions of people speak languages that AI simply can't understand. That's a problem we can solve together. At Mozilla
The internet belongs to everyone—but right now, it doesn't work for everyone. Millions of people speak languages that AI simply can't understand, and that's a problem we can solve together. At Mozilla Data Collective, we're proud to host a growing collection
Tl;dr: Update to newest version of the MDC Python library (0.2.0 or newer) to continue downloading datasets