data
What makes a good dataset sample — and how to create one
In this post, we walk you through how to create a useful dataset sample as a preview of your dataset, and guide you in uploading it to the MDC platform.
Guides
Guides
Best Practices for Sharing Contact Information on Mozilla Data Collective
In this guide, we'll walk through the different options available on the platform for sharing your contact information with downloaders and setting expectations about how downloaders or other community members can reach out to you.
Guide
Fine-Tune a Speech-to-Text Model for Any Language - Including Yours
A step-by-step developer tutorial from Kostis at Mozilla Data Collective
Guides
Datasheets: The Missing Manual for your Dataset
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.
Guide
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
Guide
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
Guide
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.
Guides
Your Data, Your Rules: A Community Workshop for Dataset Governance
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
Guides
Turning Your Data Into a Valuable ML Resource Without Giving Up Control
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
Docs
Uploading your dataset to the Mozilla Data Collective Platform
Interested in joining the movement and publishing your dataset on Mozilla Data Collective? This guide will walk you through the steps required, from account creation to submission!