<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dataset on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/dataset/</link><description>Recent content in Dataset 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/dataset/index.xml" rel="self" type="application/rss+xml"/><item><title>Dataset:Jackrong/Qwen3.5 Reasoning 700X</title><link>https://terms-en.ai-term-hub.com/en/terms/datasetjackrongqwen35_reasoning_700x/</link><pubDate>Sat, 18 Jul 2026 09:53:44 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/datasetjackrongqwen35_reasoning_700x/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>This entry refers to a specific dataset repository identified by the identifier &amp;lsquo;Jackrong/Qwen3.5 Reasoning 700X&amp;rsquo;. It is typically used in the context of supervised fine-tuning (SFT) or reinforcement learning from human feedback (RLHF) to improve the logical deduction and problem-solving skills of base models. The dataset likely contains high-quality reasoning traces, chain-of-thought examples, or mathematical/logical puzzles designed to push the boundaries of a model&amp;rsquo;s analytical performance, specifically targeting the Qwen architecture family.&lt;/p></description></item></channel></rss>