Summary of Croissant: a Metadata Format For Ml-ready Datasets, by Mubashara Akhtar et al.
Croissant: A Metadata Format for ML-Ready Datasets
by Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Joan Giner-Miguelez, Pieter Gijsbers, Sujata Goswami, Nitisha Jain, Michalis Karamousadakis, Michael Kuchnik, Satyapriya Krishna, Sylvain Lesage, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Hamidah Oderinwale, Pierre Ruyssen, Tim Santos, Rajat Shinde, Elena Simperl, Arjun Suresh, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Susheel Varma, Jos van der Velde, Steffen Vogler, Carole-Jean Wu, Luyao Zhang
First submitted to arxiv on: 28 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Databases (cs.DB); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed metadata format, Croissant, aims to streamline machine learning (ML) data management by creating a shared representation across various tools, frameworks, and platforms. By standardizing dataset metadata, Croissant increases discoverability, portability, and interoperability of datasets, addressing significant challenges in ML data management. Initially evaluated by human raters, Croissant’s metadata has been found to be readable, understandable, complete, yet concise. The format is already supported by several popular dataset repositories, spanning hundreds of thousands of datasets. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Machine learning relies heavily on data, but working with it can be frustrating. A team of researchers introduced a new way to handle data called Croissant. It’s like a universal language that makes data easier to find, move around, and use together. This helps solve some big problems in machine learning data management. Many popular places where people share datasets already support Croissant, making it easy to use with the most common tools. |
Keywords
* Artificial intelligence * Machine learning
