Jun 4, 2024 · This paper addresses these issues by introducing Croissant-RAI, a machine-readable metadata format designed to enhance the discoverability, interoperability, ...
This paper addresses these issues by introducing Croissant-RAI, a machine-readable metadata format designed to enhance the discoverability, interoperability, ...
Jul 27, 2024 · This paper addresses these issues by introducing Croissant-RAI, a machine-readable metadata format designed to enhance the discoverability, interoperability, ...
Jul 24, 2024 · The paper introduces a standardized format for documenting datasets used to train AI models. This format is designed to be machine-readable, ...
In this paper, we propose Data Cards for fostering transparent, purposeful and human-centered documentation of datasets within the practical contexts of ...
Missing: readable | Show results with:readable
Mar 6, 2024 · Croissant is an open community-built standardized metadata vocabulary for ML datasets, including key attributes and properties of datasets.
MLCommons is a non-profit consortium that aims to accelerate the benefits of machine learning and artificial intelligence (AI). Our members and partners ...
Jun 19, 2024 · Enter Croissant, an emerging community standard, that provides machine-readable metadata for ML datasets, enhancing their accessibility, discoverability, and ...
This paper introduces a no-code, machine-readable documentation framework for open datasets, with a focus on responsible AI (RAI) considerations.
Missing: Standardized Format
Apr 18, 2024 · UOC has just launched Croissant, a new metadata format for indexing datasets prepared for machine learning.