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import{s as ue,o as he,n as fe}from"../chunks/scheduler.bdbef820.js";import{S as Me,i as ce,g as o,s as n,r,A as $e,h as p,f as l,c as s,j as mt,u as d,x as $,k as de,y as g,a,v as m,d as f,t as u,w as h}from"../chunks/index.c0aea24a.js";import{T as me}from"../chunks/Tip.31005f7d.js";import{C as j}from"../chunks/CodeBlock.6ccca92e.js";import{H as it,E as we}from"../chunks/EditOnGithub.725ee0c1.js";function ye(ot){let i,b='If you want to use 🤗 Datasets with TensorFlow or PyTorch, you’ll need to install them separately. Refer to the <a href="https://www.tensorflow.org/install/pip#tensorflow-2-packages-are-available" rel="nofollow">TensorFlow installation page</a> or the <a href="https://pytorch.org/get-started/locally/#start-locally" rel="nofollow">PyTorch installation page</a> for the specific install command for your framework.';return{c(){i=o("p"),i.innerHTML=b},l(c){i=p(c,"P",{"data-svelte-h":!0}),$(i)!=="svelte-4w0fud"&&(i.innerHTML=b)},m(c,w){a(c,i,w)},p:fe,d(c){c&&l(i)}}}function ge(ot){let i,b=`To decode mp3 files, you need to have at least version 1.1.0 of the <code>libsndfile</code> system library. Usually, it’s bundled with the python <a href="https://github.com/bastibe/python-soundfile" rel="nofollow"><code>soundfile</code></a> package, which is installed as an extra audio dependency for 🤗 Datasets.
For Linux, the required version of <code>libsndfile</code> is bundled with <code>soundfile</code> starting from version 0.12.0. You can run the following command to determine which version of <code>libsndfile</code> is being used by <code>soundfile</code>:`,c,w,y;return w=new j({props:{code:"cHl0aG9uJTIwLWMlMjAlMjJpbXBvcnQlMjBzb3VuZGZpbGUlM0IlMjBwcmludChzb3VuZGZpbGUuX19saWJzbmRmaWxlX3ZlcnNpb25fXyklMjI=",highlighted:'python -c <span class="hljs-string">&quot;import soundfile; print(soundfile.__libsndfile_version__)&quot;</span>',wrap:!1}}),{c(){i=o("p"),i.innerHTML=b,c=n(),r(w.$$.fragment)},l(M){i=p(M,"P",{"data-svelte-h":!0}),$(i)!=="svelte-ndy77x"&&(i.innerHTML=b),c=s(M),d(w.$$.fragment,M)},m(M,J){a(M,i,J),a(M,c,J),m(w,M,J),y=!0},p:fe,i(M){y||(f(w.$$.fragment,M),y=!0)},o(M){u(w.$$.fragment,M),y=!1},d(M){M&&(l(i),l(c)),h(w,M)}}}function je(ot){let i,b,c,w,y,M,J,Pt="Before you start, you’ll need to setup your environment and install the appropriate packages. 🤗 Datasets is tested on <strong>Python 3.7+</strong>.",ut,v,ht,x,Mt,I,qt='You should install 🤗 Datasets in a <a href="https://docs.python.org/3/library/venv.html" rel="nofollow">virtual environment</a> to keep things tidy and avoid dependency conflicts.',ct,T,B,pt,Ot="Create and navigate to your project directory:",St,Z,Et,W,rt,Kt="Start a virtual environment inside your directory:",Lt,C,At,_,dt,te="Activate and deactivate the virtual environment with the following commands:",Dt,X,$t,k,ee="Once you’ve created your virtual environment, you can install 🤗 Datasets in it.",wt,R,yt,Y,le="The most straightforward way to install 🤗 Datasets is with pip:",gt,F,jt,N,ae="Run the following command to check if 🤗 Datasets has been properly installed:",Jt,H,bt,z,ne='This command downloads version 1 of the <a href="https://rajpurkar.github.io/SQuAD-explorer/" rel="nofollow">Stanford Question Answering Dataset (SQuAD)</a>, loads the training split, and prints the first training example. You should see:',Tt,Q,Ut,V,vt,S,se='To work with audio datasets, you need to install the <a href="/docs/datasets/main/en/package_reference/main_classes#datasets.Audio">Audio</a> feature as an extra dependency:',Gt,E,xt,G,It,L,Bt,A,ie='To work with image datasets, you need to install the <a href="/docs/datasets/main/en/package_reference/main_classes#datasets.Image">Image</a> feature as an extra dependency:',Zt,D,Wt,P,Ct,q,oe="Building 🤗 Datasets from source lets you make changes to the code base. To install from the source, clone the repository and install with the following commands:",_t,O,Xt,K,pe="Again, you can check if 🤗 Datasets was properly installed with the following command:",kt,tt,Rt,et,Yt,lt,re="🤗 Datasets can also be installed from conda, a package management system:",Ft,at,Nt,nt,Ht,ft,zt;return y=new it({props:{title:"Installation",local:"installation",headingTag:"h1"}}),v=new me({props:{$$slots:{default:[ye]},$$scope:{ctx:ot}}}),x=new it({props:{title:"Virtual environment",local:"virtual-environment",headingTag:"h2"}}),Z=new j({props:{code:"bWtkaXIlMjB+JTJGbXktcHJvamVjdCUwQWNkJTIwfiUyRm15LXByb2plY3Q=",highlighted:`<span class="hljs-built_in">mkdir</span> ~/my-project
<span class="hljs-built_in">cd</span> ~/my-project`,wrap:!1}}),C=new j({props:{code:"cHl0aG9uJTIwLW0lMjB2ZW52JTIwLmVudg==",highlighted:'python -m venv .<span class="hljs-built_in">env</span>',wrap:!1}}),X=new j({props:{code:"JTIzJTIwQWN0aXZhdGUlMjB0aGUlMjB2aXJ0dWFsJTIwZW52aXJvbm1lbnQlMEFzb3VyY2UlMjAuZW52JTJGYmluJTJGYWN0aXZhdGUlMEElMEElMjMlMjBEZWFjdGl2YXRlJTIwdGhlJTIwdmlydHVhbCUyMGVudmlyb25tZW50JTBBc291cmNlJTIwLmVudiUyRmJpbiUyRmRlYWN0aXZhdGU=",highlighted:`<span class="hljs-comment"># Activate the virtual environment</span>
<span class="hljs-built_in">source</span> .<span class="hljs-built_in">env</span>/bin/activate
<span class="hljs-comment"># Deactivate the virtual environment</span>
<span class="hljs-built_in">source</span> .<span class="hljs-built_in">env</span>/bin/deactivate`,wrap:!1}}),R=new it({props:{title:"pip",local:"pip",headingTag:"h2"}}),F=new j({props:{code:"cGlwJTIwaW5zdGFsbCUyMGRhdGFzZXRz",highlighted:"pip install datasets",wrap:!1}}),H=new j({props:{code:"cHl0aG9uJTIwLWMlMjAlMjJmcm9tJTIwZGF0YXNldHMlMjBpbXBvcnQlMjBsb2FkX2RhdGFzZXQlM0IlMjBwcmludChsb2FkX2RhdGFzZXQoJ3NxdWFkJyUyQyUyMHNwbGl0JTNEJ3RyYWluJyklNUIwJTVEKSUyMg==",highlighted:'python -c <span class="hljs-string">&quot;from datasets import load_dataset; print(load_dataset(&#x27;squad&#x27;, split=&#x27;train&#x27;)[0])&quot;</span>',wrap:!1}}),Q=new j({props:{code:"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",highlighted:'{<span class="hljs-string">&#x27;answers&#x27;</span>: {<span class="hljs-string">&#x27;answer_start&#x27;</span>: [<span class="hljs-number">515</span>], <span class="hljs-string">&#x27;text&#x27;</span>: [<span class="hljs-string">&#x27;Saint Bernadette Soubirous&#x27;</span>]}, <span class="hljs-string">&#x27;context&#x27;</span>: <span class="hljs-string">&#x27;Architecturally, the school has a Catholic character. Atop the Main Building\\&#x27;s gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend &quot;Venite Ad Me Omnes&quot;. Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary.&#x27;</span>, <span class="hljs-string">&#x27;id&#x27;</span>: <span class="hljs-string">&#x27;5733be284776f41900661182&#x27;</span>, <span class="hljs-string">&#x27;question&#x27;</span>: <span class="hljs-string">&#x27;To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France?&#x27;</span>, <span class="hljs-string">&#x27;title&#x27;</span>: <span class="hljs-string">&#x27;University_of_Notre_Dame&#x27;</span>}',wrap:!1}}),V=new it({props:{title:"Audio",local:"audio",headingTag:"h2"}}),E=new j({props:{code:"cGlwJTIwaW5zdGFsbCUyMGRhdGFzZXRzJTVCYXVkaW8lNUQ=",highlighted:"pip install datasets[audio]",wrap:!1}}),G=new me({props:{warning:!0,$$slots:{default:[ge]},$$scope:{ctx:ot}}}),L=new it({props:{title:"Vision",local:"vision",headingTag:"h2"}}),D=new j({props:{code:"cGlwJTIwaW5zdGFsbCUyMGRhdGFzZXRzJTVCdmlzaW9uJTVE",highlighted:"pip install datasets[vision]",wrap:!1}}),P=new it({props:{title:"source",local:"source",headingTag:"h2"}}),O=new j({props:{code:"Z2l0JTIwY2xvbmUlMjBodHRwcyUzQSUyRiUyRmdpdGh1Yi5jb20lMkZodWdnaW5nZmFjZSUyRmRhdGFzZXRzLmdpdCUwQWNkJTIwZGF0YXNldHMlMEFwaXAlMjBpbnN0YWxsJTIwLWUlMjAu",highlighted:`git <span class="hljs-built_in">clone</span> https://github.com/huggingface/datasets.git
<span class="hljs-built_in">cd</span> datasets
pip install -e .`,wrap:!1}}),tt=new j({props:{code:"cHl0aG9uJTIwLWMlMjAlMjJmcm9tJTIwZGF0YXNldHMlMjBpbXBvcnQlMjBsb2FkX2RhdGFzZXQlM0IlMjBwcmludChsb2FkX2RhdGFzZXQoJ3NxdWFkJyUyQyUyMHNwbGl0JTNEJ3RyYWluJyklNUIwJTVEKSUyMg==",highlighted:'python -c <span class="hljs-string">&quot;from datasets import load_dataset; print(load_dataset(&#x27;squad&#x27;, split=&#x27;train&#x27;)[0])&quot;</span>',wrap:!1}}),et=new it({props:{title:"conda",local:"conda",headingTag:"h2"}}),at=new j({props:{code:"Y29uZGElMjBpbnN0YWxsJTIwLWMlMjBodWdnaW5nZmFjZSUyMC1jJTIwY29uZGEtZm9yZ2UlMjBkYXRhc2V0cw==",highlighted:"conda install -c huggingface -c conda-forge datasets",wrap:!1}}),nt=new 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Xet Storage Details

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