<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Benchmarks and Datasets | Vedaant Jain</title><link>https://vedaantjain.netlify.app/tags/benchmarks-and-datasets/</link><atom:link href="https://vedaantjain.netlify.app/tags/benchmarks-and-datasets/index.xml" rel="self" type="application/rss+xml"/><description>Benchmarks and Datasets</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 12 Jun 2024 00:00:00 +0000</lastBuildDate><image><url>https://vedaantjain.netlify.app/media/icon_hu68170e94a17a2a43d6dcb45cf0e8e589_3079_512x512_fill_lanczos_center_3.png</url><title>Benchmarks and Datasets</title><link>https://vedaantjain.netlify.app/tags/benchmarks-and-datasets/</link></image><item><title>HumorDB</title><link>https://vedaantjain.netlify.app/project/humordb/</link><pubDate>Wed, 12 Jun 2024 00:00:00 +0000</pubDate><guid>https://vedaantjain.netlify.app/project/humordb/</guid><description>&lt;p>HumorDB is a novel image-only dataset designed to advance visual humor understanding in AI systems. It consists of carefully curated image pairs with contrasting humor ratings, emphasizing subtle visual cues that trigger humor while mitigating potential biases. The dataset enables evaluation through binary classification, range regression, and pairwise comparison tasks.&lt;/p>
&lt;p>Authors: Vedaant Jain, Felipe Feitosa, Gabriel Kreiman&lt;/p></description></item></channel></rss>