<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dataset | Chenzhu Wang</title><link>https://chenzhuwang.com/tags/dataset/</link><atom:link href="https://chenzhuwang.com/tags/dataset/index.xml" rel="self" type="application/rss+xml"/><description>Dataset</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://chenzhuwang.com/media/icon_hu7729264130191091259.png</url><title>Dataset</title><link>https://chenzhuwang.com/tags/dataset/</link></image><item><title>SAVeD: A first-person social media dataset for ADAS-equipped vehicle near-miss and crash event analysis</title><link>https://chenzhuwang.com/publication/preprint/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://chenzhuwang.com/publication/preprint/</guid><description>&lt;p>This work anchors the multimodal traffic video and ADAS safety theme. It supports event parsing, near-miss/crash understanding, and future counterfactual safety analysis.&lt;/p></description></item></channel></rss>