What do the languages Nahuatl, Bahasa Indonesia and Bulgarian have in common?
Nahuatl, Bahasa Indonesia and Bulgarian all feature in our very first community curated datasets to be uploaded to the Mozilla Data Collective platform.
Nahuatl, Bahasa Indonesia and Bulgarian all feature in our very first community curated datasets to be uploaded to the Mozilla Data Collective platform.
In order to better serve our community and to keep up with current changes in best practices for data stewardship, we are changing how previous releases of the Common Voice datasets are accessed. They will now be accessible to interested researchers and others via an email-based request process. You will
We’re tightening the circulation of old datasets to protect contributors, while keeping a clear, documented path for researchers who need them.
If you discover a minor issue with the accuracy of a data listing on Mozilla Data Collective (a typo, missing attribute in datasheet, etc.) and want to bring it to the attention of the data provider, reach out to the point of contact as specified in the data listing. If
Join us for the official kick‑off of the Shared Task: Mozilla Common Voice Spontaneous Speech! This live, online gathering will bring together researchers, engineers, and language‑technology enthusiasts from around the world to launch the challenge focused on building robust, multilingual ASR systems for under‑represented languages. In a
Mozilla Data Collective wants to provide effective, ethical stewardship support for datasets. This is challenging or impossible when datasets are mirrored or split across a range of forks. Our principles include trying to enable good governance, e.g. the right to be forgotten, as much as possible, which means we
Quick links * Registration Form * Link to datasets * Codabench page (to submit results during the testing period) * Contact: sharedtask@mozillafoundation.org Overview Automatic speech recognition (ASR) has come a long way – but most systems are still trained on polished, read-aloud speech. So we set out to build a model that can
Common Voice 23.0 is now live – and available for download via Mozilla Data Collective. Mozilla Data Collective is a sister platform from the team behind Common Voice, designed to let dataset owners and creators offer their data on their own terms. Mozilla Data Collective was built in response to
Mozilla Data Collective is now in live alpha, offering the Common Voice 23.0 datasets.
Kathy Reid's presentation to PyConAU in Melbourne, Australia covers tokenomics, harvesting tokens, and how Mozilla Data Collective offers a better way forward.
The Mozilla Data Collective REST API provides a way for developers to access datasets from their own applications, using the programming language of their choice. Users must agree to dataset terms through the web interface before downloading. Each download token can only be used for one complete download session, and
We have no plans to host Mozilla community datasets through third parties at this time, as it makes governance and stewardship extremely challenging. For example, when someone chooses to revoke their consent to be included in a dataset, we need a way to remove them from the dataset and update