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	<link rel="modulepreload" href="/docs/course/pr_1054/id/_app/immutable/chunks/getInferenceSnippets.472bc46d.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Big data? 🤗 Datasets siap membantu!","local":"big-data-datasets-to-the-rescue","sections":[{"title":"Apa itu The Pile?","local":"what-is-the-pile","sections":[],"depth":2},{"title":"Keajaiban memory mapping","local":"the-magic-of-memory-mapping","sections":[],"depth":2},{"title":"Streaming dataset","local":"streaming-datasets","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="big-data-datasets-to-the-rescue" 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="#big-data-datasets-to-the-rescue"><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>Big data? 🤗 Datasets siap membantu!</span></h1> <div class="flex space-x-1 absolute z-10 right-0 top-0"><a href="https://discuss.huggingface.co/t/chapter-5-questions" target="_blank"><img alt="Ask a Question" class="!m-0" src="https://img.shields.io/badge/Ask%20a%20question-ffcb4c.svg?logo=data:image/svg+xml;base64,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"></a> <a href="https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter5/section4.ipynb" target="_blank"><img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"></a> <a href="https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter5/section4.ipynb" target="_blank"><img alt="Open In Studio Lab" class="!m-0" src="https://studiolab.sagemaker.aws/studiolab.svg"></a></div> <p data-svelte-h="svelte-103ub91">Saat ini, bukan hal yang aneh jika kamu harus bekerja dengan dataset berukuran beberapa gigabyte, terutama jika kamu berencana melatih model transformer seperti BERT atau GPT-2 dari awal. Dalam kasus seperti ini, bahkan hanya <em>memuat</em> datanya saja sudah bisa menjadi tantangan. Misalnya, korpus WebText yang digunakan untuk melatih GPT-2 terdiri dari lebih dari 8 juta dokumen dan 40 GB teks — memuatnya ke dalam RAM laptop bisa bikin “serangan jantung”!</p> <p data-svelte-h="svelte-1iydyji">Untungnya, 🤗 Datasets dirancang untuk mengatasi keterbatasan ini. Library ini membebaskanmu dari masalah manajemen memori dengan memperlakukan dataset sebagai file <em>memory-mapped</em>, dan dari batas penyimpanan hard disk dengan fitur <em>streaming</em> entri dari korpus.</p> <iframe class="w-full xl:w-4/6 h-80" src="https://www.youtube-nocookie.com/embed/JwISwTCPPWo" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> <p data-svelte-h="svelte-12ptx0u">Di bagian ini, kita akan menjelajahi fitur-fitur tersebut menggunakan korpus besar berukuran 825 GB yang dikenal sebagai <a href="https://pile.eleuther.ai" rel="nofollow">The Pile</a>. Ayo mulai!</p> <h2 class="relative group"><a id="what-is-the-pile" 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="#what-is-the-pile"><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>Apa itu The Pile?</span></h2> <p data-svelte-h="svelte-5twky8">The Pile adalah korpus teks berbahasa Inggris yang dibuat oleh <a href="https://www.eleuther.ai" rel="nofollow">EleutherAI</a> untuk melatih model bahasa skala besar. Korpus ini mencakup berbagai macam dataset, mulai dari artikel ilmiah, repositori kode GitHub, hingga teks web yang telah difilter. Korpus pelatihan ini tersedia dalam <a href="https://the-eye.eu/public/AI/pile/" rel="nofollow">potongan 14 GB</a>, dan Anda juga bisa mengunduh beberapa <a href="https://the-eye.eu/public/AI/pile_preliminary_components/" rel="nofollow">komponen individual</a>. Mari kita mulai dengan melihat dataset PubMed Abstracts, yaitu korpus abstrak dari 15 juta publikasi biomedis di <a href="https://pubmed.ncbi.nlm.nih.gov/" rel="nofollow">PubMed</a>. Dataset ini menggunakan <a href="https://jsonlines.org" rel="nofollow">format JSON Lines</a> dan dikompresi menggunakan pustaka <code>zstandard</code>, jadi pertama-tama kita perlu menginstalnya:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->!pip install zstandard<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-46lo2n">Selanjutnya, kita bisa memuat dataset menggunakan metode file jarak jauh yang sudah kita pelajari di <a href="/course/chapter5/2">bagian 2</a>:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset

	<span class="hljs-comment"># Ini akan memakan waktu beberapa menit, jadi silakan ngopi atau ngeteh dulu :)</span>
	data_files = <span class="hljs-string">"https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst"</span>
	pubmed_dataset = load_dataset(<span class="hljs-string">"json"</span>, data_files=data_files, split=<span class="hljs-string">"train"</span>)
	pubmed_dataset<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->Dataset({
	features: [<span class="hljs-string">'meta'</span>, <span class="hljs-string">'text'</span>],
	num_rows: <span class="hljs-number">15518009</span>
	})<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-ta8zy3">Kita bisa melihat bahwa dataset ini memiliki <strong>15.518.009 baris</strong> dan <strong>2 kolom</strong> — banyak sekali!</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-6vypdr">✎ Secara default, 🤗 Datasets akan mengekstrak file yang dibutuhkan untuk memuat dataset. Jika kamu ingin menghemat ruang penyimpanan, kamu bisa menambahkan <code>DownloadConfig(delete_extracted=True)</code> ke argumen <code>download_config</code> di <code>load_dataset()</code>. Lihat <a href="https://huggingface.co/docs/datasets/package_reference/builder_classes#datasets.DownloadConfig" rel="nofollow">dokumentasi</a> untuk info lebih lanjut.</p></div> <p data-svelte-h="svelte-15ip15c">Mari kita lihat isi dari contoh pertama:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->pubmed_dataset[<span class="hljs-number">0</span>]<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{
	<span class="hljs-string">'meta'</span>: {<span class="hljs-string">'pmid'</span>: <span class="hljs-number">11409574</span>, <span class="hljs-string">'language'</span>: <span class="hljs-string">'eng'</span>},
	<span class="hljs-string">'text'</span>: <span class="hljs-string">'Epidemiology of hypoxaemia in children with acute lower respiratory infection.\nTo determine the prevalence of hypoxaemia in children aged under 5 years suffering acute lower respiratory infections (ALRI), the risk factors for hypoxaemia in children under 5 years of age with ALRI, and the association of hypoxaemia with an increased risk of dying in children of the same age ...'</span>
	}<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1xq7f9j">Oke, ini tampaknya adalah abstrak dari artikel jurnal medis. Sekarang mari kita lihat berapa banyak RAM yang digunakan untuk memuat dataset ini!</p> <h2 class="relative group"><a id="the-magic-of-memory-mapping" 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="#the-magic-of-memory-mapping"><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>Keajaiban memory mapping</span></h2> <p data-svelte-h="svelte-f81xyo">Salah satu cara sederhana untuk mengukur penggunaan memori di Python adalah dengan menggunakan pustaka <a href="https://psutil.readthedocs.io/en/latest/" rel="nofollow"><code>psutil</code></a>, yang bisa diinstal seperti ini:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->!pip install psutil<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-yvznnu">Pustaka ini menyediakan kelas <code>Process</code> yang memungkinkan kita memeriksa penggunaan memori proses saat ini:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> psutil

	<span class="hljs-comment"># memory_info diekspresikan dalam byte, jadi kita konversi ke megabyte</span>
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"RAM used: <span class="hljs-subst">{psutil.Process().memory_info().rss / (<span class="hljs-number">1024</span> * <span class="hljs-number">1024</span>):<span class="hljs-number">.2</span>f}</span> MB"</span>)<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->RAM used: <span class="hljs-number">5678.33</span> MB<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1i56vqi">Di sini, atribut <code>rss</code> mengacu pada <em>resident set size</em>, yaitu bagian dari memori yang digunakan suatu proses di RAM. Pengukuran ini juga mencakup memori yang digunakan oleh interpreter Python dan pustaka-pustaka yang telah kita muat, sehingga jumlah memori yang sebenarnya digunakan untuk memuat dataset sedikit lebih kecil. Sebagai perbandingan, mari kita lihat seberapa besar ukuran dataset di penyimpanan disk, menggunakan atribut <code>dataset_size</code>. Karena hasilnya diekspresikan dalam byte seperti sebelumnya, kita perlu mengonversinya secara manual ke dalam satuan gigabyte:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-built_in">print</span>(<span class="hljs-string">f"Dataset size in bytes: <span class="hljs-subst">{pubmed_dataset.dataset_size}</span>"</span>)
	size_gb = pubmed_dataset.dataset_size / (<span class="hljs-number">1024</span>**<span class="hljs-number">3</span>)
	<span class="hljs-built_in">print</span>(<span class="hljs-string">f"Dataset size (cache file) : <span class="hljs-subst">{size_gb:<span class="hljs-number">.2</span>f}</span> GB"</span>)<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->Dataset size <span class="hljs-keyword">in</span> <span class="hljs-built_in">bytes</span> : <span class="hljs-number">20979437051</span>
	Dataset size (cache file) : <span class="hljs-number">19.54</span> GB<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-ndo9b6">Bagus — meskipun ukurannya hampir 20 GB, kita bisa memuat dan mengakses dataset ini dengan konsumsi RAM yang jauh lebih kecil!</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-v6bs9">✏️ <strong>Coba sendiri!</strong> Pilih salah satu <a href="https://the-eye.eu/public/AI/pile_preliminary_components/" rel="nofollow">komponen</a> dari The Pile yang ukurannya lebih besar dari RAM laptop/komputer kamu, muat menggunakan 🤗 Datasets, dan ukur penggunaan RAM-nya. Untuk hasil akurat, lakukan pengukuran di proses baru. Kamu bisa menemukan ukuran dekompresi setiap subset di Tabel 1 dari <a href="https://arxiv.org/abs/2101.00027" rel="nofollow">makalah The Pile</a>.</p></div> <p data-svelte-h="svelte-r199xz">Jika kamu terbiasa dengan Pandas, hasil ini mungkin mengejutkan karena aturan umum Wes Kinney yang terkenal bahwa kamu biasanya butuh <strong>5 sampai 10 kali lebih banyak RAM</strong> dibandingkan ukuran dataset. Lantas, bagaimana 🤗 Datasets mengatasi masalah manajemen memori ini? 🤗 Datasets memperlakukan setiap dataset sebagai <a href="https://en.wikipedia.org/wiki/Memory-mapped_file" rel="nofollow">file memory-mapped</a>, yang memungkinkan perpindahan antara RAM dan penyimpanan disk tanpa perlu memuat keseluruhan dataset ke dalam memori.</p> <p data-svelte-h="svelte-9u46z9">File yang menggunakan memory-mapping juga dapat dibagikan ke berbagai proses secara bersamaan, yang memungkinkan metode seperti <code>Dataset.map()</code> diparalelkan tanpa perlu memindahkan atau menyalin dataset. Di balik layar, semua kemampuan ini dimungkinkan oleh format memori <a href="https://arrow.apache.org" rel="nofollow">Apache Arrow</a> dan pustaka <a href="https://arrow.apache.org/docs/python/index.html" rel="nofollow"><code>pyarrow</code></a>, yang membuat proses pemuatan dan pemrosesan data menjadi sangat cepat. (Untuk informasi lebih lanjut tentang Apache Arrow dan perbandingannya dengan Pandas, lihat <a href="https://towardsdatascience.com/apache-arrow-read-dataframe-with-zero-memory-69634092b1a" rel="nofollow">tulisan blog Dejan Simic</a>.) Untuk melihat cara kerjanya secara langsung, mari kita jalankan uji kecepatan kecil dengan melakukan iterasi pada semua elemen dalam dataset PubMed Abstracts:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> timeit

	code_snippet = <span class="hljs-string">"""batch_size = 1000

	for idx in range(0, len(pubmed_dataset), batch_size):
	_ = pubmed_dataset[idx:idx + batch_size]
	"""</span>

	time = timeit.timeit(stmt=code_snippet, number=<span class="hljs-number">1</span>, <span class="hljs-built_in">globals</span>=<span class="hljs-built_in">globals</span>())
	<span class="hljs-built_in">print</span>(
	<span class="hljs-string">f"Iterated over <span class="hljs-subst">{<span class="hljs-built_in">len</span>(pubmed_dataset)}</span> examples (about <span class="hljs-subst">{size_gb:<span class="hljs-number">.1</span>f}</span> GB) in "</span>
	<span class="hljs-string">f"<span class="hljs-subst">{time:<span class="hljs-number">.1</span>f}</span>s, i.e. <span class="hljs-subst">{size_gb/time:<span class="hljs-number">.3</span>f}</span> GB/s"</span>
	)<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->Iterated over <span class="hljs-number">15518009</span> examples (about <span class="hljs-number">19.5</span> GB) <span class="hljs-keyword">in</span> <span class="hljs-number">64.2</span>s, i.e. <span class="hljs-number">0.304</span> GB/s<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-besw75">Di sini kita menggunakan modul <code>timeit</code> dari Python untuk mengukur waktu eksekusi yang dibutuhkan oleh <code>code_snippet</code>. Biasanya, Anda bisa melakukan iterasi terhadap dataset dengan kecepatan beberapa persepuluh GB/s hingga beberapa GB/s. Ini sangat cocok untuk sebagian besar aplikasi, tetapi terkadang Anda harus bekerja dengan dataset yang terlalu besar bahkan untuk disimpan di hard drive laptop Anda. Sebagai contoh, jika kita mencoba mengunduh seluruh isi The Pile, kita akan membutuhkan ruang disk kosong sebesar 825 GB! Untuk menangani kasus seperti ini, 🤗 Datasets menyediakan fitur streaming yang memungkinkan kita mengunduh dan mengakses elemen secara langsung (on the fly), tanpa perlu mengunduh seluruh dataset. Mari kita lihat bagaimana cara kerjanya.</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-12uvmkp">💡 Di Jupyter Notebook kamu juga bisa mengukur waktu eksekusi cell menggunakan <a href="https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-timeit" rel="nofollow"><code>%%timeit</code></a>.</p></div> <h2 class="relative group"><a id="streaming-datasets" 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="#streaming-datasets"><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>Streaming dataset</span></h2> <p data-svelte-h="svelte-1gvak5b">Untuk mengaktifkan <strong>streaming</strong>, cukup tambahkan argumen <code>streaming=True</code> saat memanggil <code>load_dataset()</code>. Contohnya, mari kita muat kembali dataset <strong>PubMed Abstracts</strong> dalam mode streaming:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->pubmed_dataset_streamed = load_dataset(
	<span class="hljs-string">"json"</span>, data_files=data_files, split=<span class="hljs-string">"train"</span>, streaming=<span class="hljs-literal">True</span>
	)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1dpzk6t">Alih-alih objek <code>Dataset</code> seperti sebelumnya, mode streaming akan mengembalikan objek <code>IterableDataset</code>. Sesuai namanya, kamu harus <strong>mengiterasi</strong> objek ini untuk mengakses elemennya. Untuk mengambil elemen pertama:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(pubmed_dataset_streamed))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">'meta'</span>: {<span class="hljs-string">'pmid'</span>: <span class="hljs-number">11409574</span>, <span class="hljs-string">'language'</span>: <span class="hljs-string">'eng'</span>},
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Epidemiologi hipoksemia pada anak-anak dengan infeksi saluran pernapasan bawah akut.\nUntuk menentukan prevalensi hipoksemia pada anak-anak di bawah usia 5 tahun yang menderita infeksi saluran pernapasan bawah akut (ALRI), faktor risiko hipoksemia pada anak-anak di bawah usia 5 tahun dengan ALRI, dan hubungan antara hipoksemia dengan peningkatan risiko kematian pada anak-anak dengan usia yang sama ..."</span>}<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-lcm1m6">Elemen dari dataset streaming bisa diproses langsung menggunakan <code>IterableDataset.map()</code>, yang berguna misalnya saat proses pelatihan model dan kamu ingin melakukan tokenisasi. Prosesnya sama seperti yang kita lakukan di <a href="/course/chapter3">Bab 3</a>, bedanya adalah hasilnya dikembalikan satu per satu:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> AutoTokenizer

	tokenizer = AutoTokenizer.from_pretrained(<span class="hljs-string">"distilbert-base-uncased"</span>)
	tokenized_dataset = pubmed_dataset_streamed.<span class="hljs-built_in">map</span>(<span class="hljs-keyword">lambda</span> x: tokenizer(x[<span class="hljs-string">"text"</span>]))
	<span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(tokenized_dataset))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">'input_ids'</span>: [<span class="hljs-number">101</span>, <span class="hljs-number">4958</span>, <span class="hljs-number">5178</span>, <span class="hljs-number">4328</span>, <span class="hljs-number">6779</span>, ...], <span class="hljs-string">'attention_mask'</span>: [<span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-number">1</span>, ...]}<!-- HTML_TAG_END --></pre></div> <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-1uwkdhn">💡 Untuk mempercepat proses tokenisasi pada dataset streaming, kamu bisa menambahkan <code>batched=True</code>. Ini akan memproses data per batch (default-nya 1000) dan bisa disesuaikan dengan <code>batch_size</code>.</p></div> <p data-svelte-h="svelte-vhsrlt">Kamu juga bisa mengacak dataset streaming menggunakan <code>IterableDataset.shuffle()</code>, meskipun fungsinya berbeda dari <code>Dataset.shuffle()</code>. Di sini, elemen hanya diacak dalam <code>buffer_size</code> tertentu:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->shuffled_dataset = pubmed_dataset_streamed.shuffle(buffer_size=<span class="hljs-number">10_000</span>, seed=<span class="hljs-number">42</span>)
	<span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(shuffled_dataset))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">'meta'</span>: {<span class="hljs-string">'pmid'</span>: <span class="hljs-number">11410799</span>, <span class="hljs-string">'language'</span>: <span class="hljs-string">'eng'</span>},
	<span class="hljs-string">'text'</span>: <span class="hljs-string">'Randomized study of dose or schedule modification of granulocyte colony-stimulating factor in platinum-based chemotherapy...'</span>}<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1cnucwz">Dalam contoh ini, kita memilih satu contoh secara acak dari 10.000 contoh pertama dalam buffer. Setelah sebuah contoh diakses, posisinya di buffer akan diisi oleh contoh berikutnya dari korpus (yaitu contoh ke-10.001 dalam kasus di atas). Anda juga dapat memilih elemen dari dataset yang sedang di-stream menggunakan fungsi <code>IterableDataset.take()</code> dan <code>IterableDataset.skip()</code>, yang cara kerjanya mirip dengan <code>Dataset.select()</code>. Misalnya, untuk memilih 5 contoh pertama dari dataset PubMed Abstracts, kita bisa melakukan hal berikut:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->dataset_head = pubmed_dataset_streamed.take(<span class="hljs-number">5</span>)
	<span class="hljs-built_in">list</span>(dataset_head)<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->[
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409574</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Epidemiologi hipoksemia pada anak-anak dengan infeksi saluran pernapasan bawah akut ..."</span>
	},
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409575</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Tanda-tanda klinis hipoksemia pada anak-anak dengan infeksi saluran pernapasan bawah akut: indikator terapi oksigen ..."</span>
	},
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409576</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Hipoksemia pada anak-anak dengan pneumonia berat di Papua Nugini ..."</span>
	},
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409577</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Konsentrator dan tabung oksigen ..."</span>
	},
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409578</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Pasokan oksigen di daerah pedesaan Afrika: sebuah pengalaman pribadi ..."</span>
	}
	]<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1a2hsoj">Demikian pula, Anda dapat menggunakan fungsi <code>IterableDataset.skip()</code> untuk membuat pembagian data pelatihan dan validasi dari dataset yang telah diacak, seperti berikut:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-comment"># Melewatkan 1000 contoh pertama untuk training</span>
	train_dataset = shuffled_dataset.skip(<span class="hljs-number">1000</span>)
	<span class="hljs-comment"># Mengambil 1000 contoh pertama untuk validasi</span>
	validation_dataset = shuffled_dataset.take(<span class="hljs-number">1000</span>)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-18kfdzc">Mari kita akhiri eksplorasi kita tentang streaming dataset dengan sebuah aplikasi umum: menggabungkan beberapa dataset menjadi satu korpus. 🤗 Datasets menyediakan fungsi <code>interleave_datasets()</code> yang mengubah daftar objek <code>IterableDataset</code> menjadi satu <code>IterableDataset</code>, di mana elemen-elemen dari dataset baru diperoleh secara bergantian dari contoh-contoh sumber. Fungsi ini sangat berguna ketika Anda ingin menggabungkan dataset berukuran besar. Sebagai contoh, mari kita lakukan streaming subset FreeLaw dari The Pile, yaitu dataset sebesar 51 GB yang berisi opini hukum dari pengadilan-pengadilan di Amerika Serikat:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->law_dataset_streamed = load_dataset(
	<span class="hljs-string">"json"</span>,
	data_files=<span class="hljs-string">"https://the-eye.eu/public/AI/pile_preliminary_components/FreeLaw_Opinions.jsonl.zst"</span>,
	split=<span class="hljs-string">"train"</span>,
	streaming=<span class="hljs-literal">True</span>,
	)
	<span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(law_dataset_streamed))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">'meta'</span>: {<span class="hljs-string">'case_ID'</span>: <span class="hljs-string">'110921.json'</span>, ...}, <span class="hljs-string">'text'</span>: <span class="hljs-string">'461 U.S. 238 (1983)...'</span>}<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-gmfly1">Dataset ini cukup besar untuk membuat laptop kewalahan, tetapi dengan streaming kita bisa mengaksesnya dengan lancar! Sekarang, mari kita <strong>gabungkan</strong> PubMed dan FreeLaw:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> itertools <span class="hljs-keyword">import</span> islice
	<span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> interleave_datasets

	combined_dataset = interleave_datasets([pubmed_dataset_streamed, law_dataset_streamed])
	<span class="hljs-built_in">list</span>(islice(combined_dataset, <span class="hljs-number">2</span>))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->[
	{
	<span class="hljs-string">"meta"</span>: { <span class="hljs-string">"pmid"</span>: <span class="hljs-number">11409574</span>, <span class="hljs-string">"language"</span>: <span class="hljs-string">"eng"</span> },
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"Epidemiologi hipoksemia pada anak-anak dengan infeksi saluran pernapasan bawah akut ..."</span>
	},
	{
	<span class="hljs-string">"meta"</span>: {
	<span class="hljs-string">"case_ID"</span>: <span class="hljs-string">"110921.json"</span>,
	<span class="hljs-string">"case_jurisdiction"</span>: <span class="hljs-string">"scotus.tar.gz"</span>,
	<span class="hljs-string">"date_created"</span>: <span class="hljs-string">"2010-04-28T17:12:49Z"</span>
	},
	<span class="hljs-string">"text"</span>: <span class="hljs-string">"\n461 U.S. 238 (1983)\nOLIM DKK.\nlawan\nWAKINEKONA\nNo. 81-1581.\nMahkamah Agung Amerika Serikat.\nDisidangkan pada 19 Januari 1983.\nDiputuskan pada 26 April 1983.\nBANDING KEPADA PENGADILAN BANDING AMERIKA SERIKAT UNTUK SIRKUIT KESEMBILAN\n*239 Michael A. Lilly, Wakil Jaksa Agung Utama Hawaii, menyampaikan argumen untuk para pemohon. Bersamanya dalam dokumen tertulis adalah James H. Dannenberg, Wakil Jaksa Agung..."</span>
	}
	]
	<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-o1brqj">Di sini kita menggunakan fungsi <code>islice()</code> dari modul <code>itertools</code> di Python untuk memilih dua contoh pertama dari dataset gabungan, dan kita bisa melihat bahwa contoh-contoh tersebut cocok dengan contoh pertama dari masing-masing dua dataset sumber.</p> <p data-svelte-h="svelte-mgwk5c">Terakhir, jika Anda ingin melakukan streaming seluruh isi The Pile yang berukuran 825 GB, Anda bisa mengambil semua berkas yang telah disiapkan dengan cara berikut:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->base_url = <span class="hljs-string">"https://the-eye.eu/public/AI/pile/"</span>
	data_files = {
	<span class="hljs-string">"train"</span>: [base_url + <span class="hljs-string">"train/"</span> + <span class="hljs-string">f"<span class="hljs-subst">{idx:02d}</span>.jsonl.zst"</span> <span class="hljs-keyword">for</span> idx <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">30</span>)],
	<span class="hljs-string">"validation"</span>: base_url + <span class="hljs-string">"val.jsonl.zst"</span>,
	<span class="hljs-string">"test"</span>: base_url + <span class="hljs-string">"test.jsonl.zst"</span>,
	}
	pile_dataset = load_dataset(<span class="hljs-string">"json"</span>, data_files=data_files, streaming=<span class="hljs-literal">True</span>)
	<span class="hljs-built_in">next</span>(<span class="hljs-built_in">iter</span>(pile_dataset[<span class="hljs-string">"train"</span>]))<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->{<span class="hljs-string">'meta'</span>: {<span class="hljs-string">'pile_set_name'</span>: <span class="hljs-string">'Pile-CC'</span>}, <span class="hljs-string">'text'</span>: <span class="hljs-string">'It is done, and submitted...'</span>}<!-- HTML_TAG_END --></pre></div> <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-1w6pf5i">✏️ <strong>Coba sendiri!</strong> Gunakan salah satu korpus besar seperti <a href="https://huggingface.co/datasets/mc4" rel="nofollow"><code>mc4</code></a> atau <a href="https://huggingface.co/datasets/oscar" rel="nofollow"><code>oscar</code></a> untuk membuat dataset multibahasa streaming yang mencerminkan proporsi bahasa yang digunakan di suatu negara. Misalnya: di Swiss ada 4 bahasa nasional — Jerman, Prancis, Italia, dan Romansh — kamu bisa membuat korpus Swiss dengan sampling subset Oscar berdasarkan proporsi bahasa tersebut.</p></div> <p data-svelte-h="svelte-1e8pxdi">Sekarang kamu sudah punya semua alat yang dibutuhkan untuk <strong>memuat dan memproses dataset dari berbagai ukuran dan jenis</strong> — tapi, kecuali kamu sangat beruntung, akan tiba waktunya kamu harus membuat dataset sendiri untuk menyelesaikan masalah tertentu. Itulah yang akan kita bahas di bagian selanjutnya!</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/course/blob/main/chapters/id/chapter5/4.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p>

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