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<h1 class="relative group"><a id="introduzione" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#introduzione"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a>
	<span>Introduzione
	</span></h1>



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<p>Nel <a href="/course/chapter3">Capitolo 3</a> hai mosso i primi passi nella libreria 🤗 Datasets, e hai scoperto i tre passaggi fondamentali nell’ottimizzazione dei modelli:</p>
<ol><li>Si carica un dataset dell’Hub Hugging Face.</li>
<li>Si processano i dati con <code>Dataset.map()</code>.</li>
<li>Si caricano e si elaborano le metriche.</li></ol>
<p>Ma questo non è che un assaggio di ciò che 🤗 Datasets è in grado di fare! In questo capitolo approfondiremo le potenzialità della libreria. Durante questo percorso, troverai risposta alle seguenti domande:</p>
<ul><li>Cosa fare quando un dataset non è presente nell’Hub?</li>
<li>Come fare a tagliuzzare il dataset? (E cosa succede se devi <em>proprio</em> usare Pandas?)</li>
<li>Cosa fare quando un dataset è tanto grande da sciogliere la RAM del tuo portatile?</li>
<li>Cosa cavolo sono il “mappamento di memoria” e Apache Arrow?</li>
<li>Come fare per creare il proprio dataset e pubblicarlo sull’Hub?</li></ul>
<p>Le tecniche che imparerai ti prepareranno a compiti più avanzati di tokenizzazione e fine-tuning che troverai nei capitoli <a href="/course/chapter6">Chapter 6</a> e <a href="/course/chapter7">Chapter 7</a> — quindi preparati una tazza di caffè e iniziamo!</p>


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