Buckets:

hf-doc-build/doc-dev / datasets /pr_8021 /en /about_arrow.html
rtrm's picture
download
raw
16.9 kB
<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Datasets 🤝 Arrow&quot;,&quot;local&quot;:&quot;datasets--arrow&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;What is Arrow?&quot;,&quot;local&quot;:&quot;what-is-arrow&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Memory-mapping&quot;,&quot;local&quot;:&quot;memory-mapping&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Performance&quot;,&quot;local&quot;:&quot;performance&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}">
<link href="/docs/datasets/pr_8021/en/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/entry/start.467c4c66.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/scheduler.d75c11ed.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/singletons.24e4ec1f.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/index.d12496d4.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/paths.409c1290.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/entry/app.3b2ba720.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/preload-helper.a99c0584.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/index.4ec9dfe9.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/nodes/0.5fda7065.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/each.e59479a4.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/nodes/2.f1780d48.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/MermaidChart.svelte_svelte_type_style_lang.ee0f129e.js">
<link rel="modulepreload" href="/docs/datasets/pr_8021/en/_app/immutable/chunks/CodeBlock.5919a092.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;Datasets 🤝 Arrow&quot;,&quot;local&quot;:&quot;datasets--arrow&quot;,&quot;sections&quot;:[{&quot;title&quot;:&quot;What is Arrow?&quot;,&quot;local&quot;:&quot;what-is-arrow&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Memory-mapping&quot;,&quot;local&quot;:&quot;memory-mapping&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2},{&quot;title&quot;:&quot;Performance&quot;,&quot;local&quot;:&quot;performance&quot;,&quot;sections&quot;:[],&quot;depth&quot;:2}],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" 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></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg></button></div> </div> <h1 class="relative group"><a id="datasets--arrow" 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="#datasets--arrow"><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>Datasets 🤝 Arrow</span></h1> <h2 class="relative group"><a id="what-is-arrow" 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-arrow"><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>What is Arrow?</span></h2> <p data-svelte-h="svelte-52goft"><a href="https://arrow.apache.org/" rel="nofollow">Arrow</a> enables large amounts of data to be processed and moved quickly. It is a specific data format that stores data in a columnar memory layout. This provides several significant advantages:</p> <ul data-svelte-h="svelte-6kbcii"><li>Arrow’s standard format allows <a href="https://en.wikipedia.org/wiki/Zero-copy" rel="nofollow">zero-copy reads</a> which removes virtually all serialization overhead.</li> <li>Arrow is language-agnostic so it supports different programming languages.</li> <li>Arrow is column-oriented so it is faster at querying and processing slices or columns of data.</li> <li>Arrow allows for copy-free hand-offs to standard machine learning tools such as NumPy, Pandas, PyTorch, and TensorFlow.</li> <li>Arrow supports many, possibly nested, column types.</li></ul> <h2 class="relative group"><a id="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="#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>Memory-mapping</span></h2> <p data-svelte-h="svelte-xad2nu">🤗 Datasets uses Arrow for its local caching system. It allows datasets to be backed by an on-disk cache, which is memory-mapped for fast lookup.
This architecture allows for large datasets to be used on machines with relatively small device memory.</p> <p data-svelte-h="svelte-k9gzax">For example, loading the full English Wikipedia dataset only takes a few MB of RAM:</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-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">import</span> os; <span class="hljs-keyword">import</span> psutil; <span class="hljs-keyword">import</span> timeit
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset
<span class="hljs-comment"># Process.memory_info is expressed in bytes, so convert to megabytes </span>
<span class="hljs-meta">&gt;&gt;&gt; </span>mem_before = psutil.Process(os.getpid()).memory_info().rss / (<span class="hljs-number">1024</span> * <span class="hljs-number">1024</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>wiki = load_dataset(<span class="hljs-string">&quot;wikimedia/wikipedia&quot;</span>, <span class="hljs-string">&quot;20220301.en&quot;</span>, split=<span class="hljs-string">&quot;train&quot;</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span>mem_after = psutil.Process(os.getpid()).memory_info().rss / (<span class="hljs-number">1024</span> * <span class="hljs-number">1024</span>)
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;RAM memory used: <span class="hljs-subst">{(mem_after - mem_before)}</span> MB&quot;</span>)
RAM memory used: <span class="hljs-number">50</span> MB<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-kx9jy5">This is possible because the Arrow data is actually memory-mapped from disk, and not loaded in memory.
Memory-mapping allows access to data on disk, and leverages virtual memory capabilities for fast lookups.</p> <h2 class="relative group"><a id="performance" 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="#performance"><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>Performance</span></h2> <p data-svelte-h="svelte-1telpcz">Iterating over a memory-mapped dataset using Arrow is fast. Iterating over Wikipedia on a laptop gives you speeds of 1-3 Gbit/s:</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-meta">&gt;&gt;&gt; </span>s = <span class="hljs-string">&quot;&quot;&quot;batch_size = 1000
<span class="hljs-meta">... </span>for batch in wiki.iter(batch_size):
<span class="hljs-meta">... </span> ...
<span class="hljs-meta">... </span>&quot;&quot;&quot;</span>
<span class="hljs-meta">&gt;&gt;&gt; </span>elapsed_time = timeit.timeit(stmt=s, number=<span class="hljs-number">1</span>, <span class="hljs-built_in">globals</span>=<span class="hljs-built_in">globals</span>())
<span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Time to iterate over the <span class="hljs-subst">{wiki.dataset_size &gt;&gt; <span class="hljs-number">30</span>}</span> GB dataset: <span class="hljs-subst">{elapsed_time:<span class="hljs-number">.1</span>f}</span> sec, &quot;</span>
<span class="hljs-meta">... </span> <span class="hljs-string">f&quot;ie. <span class="hljs-subst">{<span class="hljs-built_in">float</span>(wiki.dataset_size &gt;&gt; <span class="hljs-number">27</span>)/elapsed_time:<span class="hljs-number">.1</span>f}</span> Gb/s&quot;</span>)
Time to iterate over the <span class="hljs-number">18</span> GB dataset: <span class="hljs-number">31.8</span> sec, ie. <span class="hljs-number">4.8</span> Gb/s<!-- HTML_TAG_END --></pre></div> <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/about_arrow.md" target="_blank"><svg class="mr-1" 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="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a> <p></p>
<script>
{
__sveltekit_1tcoqe3 = {
assets: "/docs/datasets/pr_8021/en",
base: "/docs/datasets/pr_8021/en",
env: {}
};
const element = document.currentScript.parentElement;
const data = [null,null];
Promise.all([
import("/docs/datasets/pr_8021/en/_app/immutable/entry/start.467c4c66.js"),
import("/docs/datasets/pr_8021/en/_app/immutable/entry/app.3b2ba720.js")
]).then(([kit, app]) => {
kit.start(app, element, {
node_ids: [0, 2],
data,
form: null,
error: null
});
});
}
</script>

Xet Storage Details

Size:
16.9 kB
·
Xet hash:
93f4aaac4c1be3b79c2439d2777278b4f9e4f4c1b3003b9056a1758372363038

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.