Croissant
PulseAugur coverage of Croissant — every cluster mentioning Croissant across labs, papers, and developer communities, ranked by signal.
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New benchmark automates ML dataset metadata extraction, outperforming agentic systems
Researchers have developed CroissantMiner, a new benchmark and system for automatically extracting and validating metadata for ML datasets according to the Croissant standard. The benchmark includes over 600 papers with…
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New MObyGaze dataset tackles gender objectification in films
Researchers have introduced the MObyGaze dataset, a comprehensive collection of film data designed to analyze and quantify gender representation disparities and objectification. The dataset includes over 43 hours of vid…
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New ontology standardizes machine learning interatomic potentials
Researchers have developed a new ontology, the MLIPs ontology, to standardize the description of machine learning interatomic potentials (MLIPs). This OWL 2 DL ontology aims to address the scattered metadata issue in th…
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Blockchain and embodied AI paper explores quantum-resistant infrastructure
A new tutorial paper explores the integration of blockchain infrastructure with embodied AI systems, focusing on post-quantum security and trustworthy data economies. It highlights the need for crypto-agile architecture…
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Croissant Baker tool automates ML dataset metadata generation
Researchers have introduced Croissant Baker, an open-source command-line tool designed to automatically generate metadata for machine learning datasets. This tool adheres to the Croissant standard, which is increasingly…