CodeCommons aims to address these issues, making source code and metadata available in a single, accessible location. It will implement standardized data pipelines for cleaning and preprocessing, provide traceability through identifiers, and incorporate ethical considerations, such as attribution and similarity checks.
Learn more about key discussions on topics from cybersecurity challenges to the future of AI and open science.
CodeCommons aims to provide a centralized repository of essential resources, including code, documentation, and metadata, to facilitate the creation of smaller, more effective datasets for the next generation of AI tools.
CodeCommons is a two-year project building on the Software Heritage archive. Here’s an overview of the projects we and our partners are working on.
