Mozilla Data Collective datasets now discoverable through CLARIN’s Virtual Language Observatory
New collaboration expands visibility for community-governed language datasets and improves exploration of linguistic resources, services and tools.
Mozilla Data Collective datasets are now discoverable through CLARIN’s Virtual Language Observatory, making it easier for researchers, developers and language technology practitioners in Europe to find multilingual and community-centered datasets alongside other linguistic resources, services and tools.
Mozilla Data Collective is the data sharing platform for human agency and fair value exchange. It enables communities, organisations, and individuals to share global cultural datasets on their own terms, while helping downloaders build more representative and culturally grounded technologies with data they cannot find anywhere else.
The Virtual Language Observatory is CLARIN’s discovery service for language resources. By indexing Mozilla Data Collective dataset metadata, the collaboration creates a new pathway for users to explore the platform’s datasets, while preserving its core approach: data remains governed through Mozilla Data Collective, where uploaders set terms of use, access conditions and documentation for their datasets.
The collaboration with CLARIN supports a shared goal: making valuable language resources easier to find, understand and use responsibly. For researchers and practitioners, this means Mozilla Data Collective datasets can now be discovered through a trusted infrastructure already used to explore linguistic resources across languages, modalities and domains. For uploaders, it means greater visibility for datasets that reflect real communities, cultures and linguistic contexts.
The availability of Mozilla Data Collective metadata in the Virtual Language Observatory improves discovery without changing where datasets are hosted or how they are governed. Users who identify relevant datasets through CLARIN’s Virtual Language Observatory are directed to Mozilla Data Collective to review the datasheet, licensing information, access conditions and any additional terms set by the uploader.
This approach is especially important for multilingual and underrepresented language resources, where context, provenance and community expectations matter. Mozilla Data Collective datasets include detailed documentation designed to help downloaders understand not only what a dataset contains, but how it was created, what it is intended for and what conditions apply to its use.
The collaboration between CLARIN and Mozilla Data Collective marks a step towards building a more inclusive AI data ecosystem: one that improves dataset discoverability while respecting how communities choose to share their data.
