<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Metadata on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/metadata/</link><description>Recent content in Metadata on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/metadata/index.xml" rel="self" type="application/rss+xml"/><item><title>Croissant</title><link>https://terms-en.ai-term-hub.com/en/terms/croissant/</link><pubDate>Sat, 18 Jul 2026 09:52:00 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/croissant/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Developed as part of the MLCommons initiative, Croissant uses JSON-LD to provide a standardized way to describe datasets, including their structure, citations, and licensing. It aims to solve the fragmentation problem in dataset documentation by creating a universal language for data sharing. This format allows tools and platforms to automatically ingest and understand dataset properties, streamlining the process of finding, loading, and using data for machine learning projects.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Croissant is an open metadata format for describing datasets, facilitating discoverability and interoperability in AI.&lt;/p></description></item></channel></rss>