<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stanford on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/stanford/</link><description>Recent content in Stanford 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/stanford/index.xml" rel="self" type="application/rss+xml"/><item><title>Dataset:Snli</title><link>https://terms-en.ai-term-hub.com/en/terms/datasetsnli/</link><pubDate>Sat, 18 Jul 2026 09:53:59 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasetsnli/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>SNLI is a benchmark dataset containing over 500,000 labeled sentence pairs annotated with three classes: entailment, contradiction, and neutral. It was created to advance research in natural language inference (NLI), which involves determining whether a hypothesis is true given a premise. SNLI has become a standard evaluation metric for models&amp;rsquo; ability to understand logical relationships between sentences, influencing the development of transformer-based architectures like BERT.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Stanford Natural Language Inference Corpus, a large dataset of English sentences paired with human-written textual entailment labels.&lt;/p></description></item></channel></rss>