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<!DOCTYPE html>
<html lang="en">
<head>
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-PQEPB7QH14"></script>
<script>
window.dataLayer = window.dataLayer || [];
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gtag('js', new Date());
gtag('config', 'G-PQEPB7QH14');
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<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="In search of the next generation of multimodal datasets" />
<meta name="author" content="Sarah Pratt" />
<title>DataComp</title>
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<main class="main">
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<section class="section container">
<div class="home2 grid">
<div class="center-div">
<div style="padding-top: 0rem;">
<img width="210" height="8" src="./assets/images/nobg.png" align="left"> <p> <br></br><h1 class="home__title"> DataComp </h1>
</div>
<p class="home__subhead2" style="clear: left;">
<br />
<b> Welcome to DataComp, </b> the machine learning benchmark where the models are fixed and the
challenge is to find the best possible data! Select a setting to learn more about how to participate </p>
</div>
<div class="container-2">
<div class="clickable-region" onclick="window.location.href='./dcclip/index.html#home';">
<h6 style="padding-top: 0.5rem;padding-bottom: 0.5rem;"> <font color="#7E49D4">CLIP</font></h6>
<h3 style="padding-bottom: 0.5rem;"> <font color="#7E49D4"><u>Contrastive Language Image Pre-training </u> </font></h3>
<p class="container-3" style="clear: left;">
Select the best subset of <b> <font color="#7E49D4"> image/text pairs</font></b> from a large pool to train a <b><font color="#7E49D4">CLIP model</font></b>. Evaluate your training set by testing the model on downstream <b><font color="#7E49D4">vision tasks</font></b> </p>
<img width="20" height="8" src="./assets/images/clip3.png" alt="Left Image">
</div>
<div class="clickable-region" onclick="window.location.href='./dclm/index.html#home';">
<h6 style="padding-top: 0.5rem;padding-bottom: 0.5rem;"> <font color="#47C3CD">LM </font></h6>
<h3 style="padding-bottom: 0.5rem;"> <font color="#47C3CD"><u>Language Modeling</u> </font></h3>
<p class="container-3" style="clear: left;">
Select the best subset of <b><font color="#47C3CD">text data</font></b> from a large pool to train a <b><font color="#47C3CD">language model</font></b>. Evaluate your training set by testing the model on downstream <b><font color="#47C3CD">language tasks</font></b> </p>
<img width="20" height="8" src="./assets/images/lang3.png" alt="Right Image">
</div>
</div>
</div>
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© Developed by Shahidul Alam. Designed by Bedimcode. (Inspired)
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