The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation

Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research

As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and evolution becomes increasingly important for the responsible and informed development of ML models. However, knowledge about datasets, including use and implementations, is often distributed across teams, individuals, and even time. Earlier this year at the ACM Conference on Fairness, Accountability, …

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