datasets/main/en/tutorial.html

<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Overview&quot;,&quot;local&quot;:&quot;overview&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}">
		<link href="/docs/datasets/main/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/entry/start.4d44eea4.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/scheduler.bdbef820.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/singletons.36b689ad.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/index.8a885b74.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/paths.27092e28.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/entry/app.d83067e8.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/index.c0aea24a.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/nodes/0.bfb01985.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/each.e59479a4.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/nodes/45.63389b55.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/Tip.31005f7d.js">
		<link rel="modulepreload" href="/docs/datasets/main/en/_app/immutable/chunks/EditOnGithub.725ee0c1.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Overview&quot;,&quot;local&quot;:&quot;overview&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END -->      <p></p>  <h1 class="relative group"><a id="overview" 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="#overview"><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>Overview</span></h1> <p data-svelte-h="svelte-1pw9pp6">Welcome to the 🤗 Datasets tutorials! These beginner-friendly tutorials will guide you through the fundamentals of working with 🤗 Datasets. You’ll load and prepare a dataset for training with your machine learning framework of choice. Along the way, you’ll learn how to load different dataset configurations and splits, interact with and see what’s inside your dataset, preprocess, and share a dataset to the <a href="https://huggingface.co/datasets" rel="nofollow">Hub</a>.</p> <p data-svelte-h="svelte-1gob22g">The tutorials assume some basic knowledge of Python and a machine learning framework like PyTorch or TensorFlow. If you’re already familiar with these, feel free to check out the <a href="./quickstart">quickstart</a> to see what you can do with 🤗 Datasets.</p>  <div class="course-tip  bg-gradient-to-br dark:bg-gradient-to-r before:border-green-500 dark:before:border-green-800 from-green-50 dark:from-gray-900 to-white dark:to-gray-950 border border-green-50 text-green-700 dark:text-gray-400"><p data-svelte-h="svelte-ykcspc">The tutorials only cover the basic skills you need to use 🤗 Datasets. There are many other useful functionalities and applications that aren’t discussed here. If you’re interested in learning more, take a look at <a href="https://huggingface.co/course/chapter5/1?fw=pt" rel="nofollow">Chapter 5</a> of the Hugging Face course.</p></div> <p data-svelte-h="svelte-1nqxwu3">If you have any questions about 🤗 Datasets, feel free to join and ask the community on our <a href="https://discuss.huggingface.co/c/datasets/10" rel="nofollow">forum</a>.</p> <p data-svelte-h="svelte-wpr9xi">Let’s get started! 🏁</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/datasets/blob/main/docs/source/tutorial.md" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a>  <p></p> 
			
			<script>
				{
					__sveltekit_w3org2 = {
						assets: "/docs/datasets/main/en",
						base: "/docs/datasets/main/en",
						env: {}
					};

					const element = document.currentScript.parentElement;

					const data = [null,null];

					Promise.all([
						import("/docs/datasets/main/en/_app/immutable/entry/start.4d44eea4.js"),
						import("/docs/datasets/main/en/_app/immutable/entry/app.d83067e8.js")
					]).then(([kit, app]) => {
						kit.start(app, element, {
							node_ids: [0, 45],
							data,
							form: null,
							error: null
						});
					});
				}
			</script>