In 2020, Meta introduced a new benchmark dataset based on Mozilla Common Voice. CoVoST 2 has 34 translation directions for audio to text machine translation. This is one of the most widely-used benchmark datasets for speech translation, with nearly 400 citations on Google Scholar. The dataset is based on version
New capabilities expand uploader control over access and compensation, while helping developers discover more representative datasets
Learn how we automatically generate Croissant metadata to describe datasets on the Mozilla Data Collective platform, making them more discoverable.
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.
Fields that make up the terms of use of your dataset cannot be edited after publishing.
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.