import{S as ja,i as La,s as Ca,e as s,k as i,t as v,w as h,M as Ma,c as l,d as t,m as f,a as o,h as _,x as m,b as p,G as a,g as n,y as $,L as Ra,q as u,o as c,B as d,v as Ua}from"../../chunks/vendor-hf-doc-builder.js";import{I as w}from"../../chunks/IconCopyLink-hf-doc-builder.js";import{C as Ha}from"../../chunks/CodeBlock-hf-doc-builder.js";import{C as Ia}from"../../chunks/CourseFloatingBanner-hf-doc-builder.js";import{Q as x}from"../../chunks/Question-hf-doc-builder.js";import"../../chunks/DocNotebookDropdown-hf-doc-builder.js";function Ta(Xt){let g,Re,O,yt,Ue,F,Ie,ue,kt,Te,ce,bt,Be,E,H,de,Q,At,z,Pt,ve,St,qt,Ge,J,Oe,y,j,_e,K,Nt,we,Dt,Fe,V,Qe,L,Ht,xe,jt,Lt,ze,W,Je,k,C,ge,X,Ct,Ee,Mt,Ke,Y,Ve,b,M,ye,Z,Rt,ke,Ut,We,ee,Xe,A,R,be,te,It,Ae,Tt,Ye,ae,Ze,P,U,Pe,re,Bt,Se,Gt,et,se,tt,le,at,S,I,qe,oe,Ot,Ne,Ft,rt,pe,st,q,T,De,ne,Qt,He,zt,lt,ie,ot,N,B,je,fe,Jt,Le,Kt,pt,he,nt,D,G,Ce,me,Vt,Me,Wt,it,$e,ft;return F=new Ia({props:{chapter:5,classNames:"absolute z-10 right-0 top-0"}}),Q=new w({}),J=new x({props:{choices:[{text:"\u5728\u672C\u5730\uFF0C\u4F8B\u5982\u5728\u4F60\u7684\u7B14\u8BB0\u672C\u7535\u8111\u4E0A",explain:"\u6B63\u786E\uFF01 \u4F60\u53EF\u4EE5\u5C06\u672C\u5730\u6587\u4EF6\u7684\u8DEF\u5F84\u4F20\u9012\u7ED9 <code>load_dataset()</code> \u51FD\u6570\u7684 <code>data_files</code> \u53C2\u6570\u6765\u52A0\u8F7D\u672C\u5730\u6570\u636E\u96C6\u3002",correct:!0},{text:"Hugging Face Hub",explain:"\u6B63\u786E! \u4F60\u53EF\u4EE5\u901A\u8FC7\u63D0\u4F9B\u6570\u636E\u96C6 ID \u5728 Hub \u4E0A\u52A0\u8F7D\u6570\u636E\u96C6, \u4F8B\u5982 &amp;lt; code > load _ dataset ('em otion') &amp;lt;/code > \u3002",correct:!0},{text:"\u8FDC\u7A0B\u670D\u52A1\u5668",explain:"\u6B63\u786E\uFF01 \u4F60\u53EF\u4EE5\u5C06URL\u4F20\u9012\u7ED9 <code>load_dataset()</code> \u51FD\u6570\u7684 <code>data_files</code> \u53C2\u6570\u6765\u52A0\u8F7D\u8FDC\u7A0B\u6587\u4EF6\u3002",correct:!0}]}}),K=new w({}),V=new Ha({props:{code:`from datasets import load_dataset

dataset = load_dataset("glue", "mrpc", split="train")`,highlighted:`<span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset

dataset = load_dataset(<span class="hljs-string">&quot;glue&quot;</span>, <span class="hljs-string">&quot;mrpc&quot;</span>, split=<span class="hljs-string">&quot;train&quot;</span>)`}}),W=new x({props:{choices:[{text:"&amp;lt; \u4EE3\u7801 > dataset.sample (50) &amp;lt;/code >",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684\u2014\u2014\u6CA1\u6709 &amp;lt; code > Dataset.sample () &amp;lt;/code > \u65B9\u6CD5\u3002"},{text:"<code>dataset.shuffle().select(range(50))</code>",explain:"\u6B63\u786E\uFF01 \u6B63\u5982\u4F60\u5728\u672C\u7AE0\u4E2D\u770B\u5F85\u7684, \u4F60\u9996\u5148\u6253\u4E71\u4E86\u6570\u636E\u96C6, \u7136\u540E\u4ECE\u4E2D\u9009\u62E9\u6837\u672C\u3002",correct:!0},{text:"<code>dataset.select(range(50)).shuffle()</code>",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684\u2014\u2014\u5C3D\u7BA1\u4EE3\u7801\u4F1A\u8FD0\u884C, \u4F46\u5B83\u53EA\u4F1A\u968F\u673A\u5904\u7406\u6570\u636E\u96C6\u4E2D\u7684\u524D50\u4E2A\u5143\u7D20\u3002"}]}}),X=new w({}),Y=new x({props:{choices:[{text:"&amp;lt; code > pets _ dataset. filter (lambda x: x ['name'] . startswith ('L')) &amp;lt;/code >",explain:"\u6B63\u786E! \u4E3A\u8FD9\u4E9B\u5FEB\u901F\u8FC7\u6EE4\u4F7F\u7528 Python lambda \u51FD\u6570\u662F\u4E00\u4E2A\u597D\u4E3B\u610F\u3002\u4F60\u8FD8\u80FD\u60F3\u5230\u5176\u4ED6\u89E3\u51B3\u65B9\u6848\u5417\uFF1F",correct:!0},{text:"&amp;lt; code > pets _ dataset. filter (lambda x ['name'] . startswith ('L') &amp;lt;/code >",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684\u2014\u2014 lambda \u51FD\u6570\u91C7\u7528\u901A\u7528\u683C\u5F0F &amp;lt; code > lambda * arguments * : * expression * &amp;lt;/code >, \u56E0\u6B64\u5728\u8FD9\u79CD\u60C5\u51B5\u4E0B\u9700\u8981\u63D0\u4F9B\u53C2\u6570\u3002"},{text:"\u521B\u5EFA\u4E00\u4E2A\u7C7B\u4F3C\u4E8E &amp;lt; code > def filter _ names (x) : return x ['name'] . startswith ('L') &amp;lt;/code > \u7684\u51FD\u6570\u5E76\u8FD0\u884C &amp;lt; code > pets _ dataset. filter (filter _ names) &amp;lt;/code > \u3002",explain:"\u6B63\u786E\uFF01\u5C31\u50CF\u4F7F\u7528 &amp;lt; code > Dataset.map () &amp;lt;/code > \u4E00\u6837\uFF0C\u4F60\u53EF\u4EE5\u5C06\u663E\u5F0F\u51FD\u6570\u4F20\u9012\u7ED9 &amp;lt; code > Dataset.filter () &amp;lt;/code > \u3002\u5F53\u4F60\u6709\u4E00\u4E9B\u4E0D\u9002\u5408\u4E8E\u7B80\u77ED lambda \u51FD\u6570\u7684\u590D\u6742\u903B\u8F91\u65F6\uFF0C\u8FD9\u662F\u975E\u5E38\u6709\u7528\u7684\u3002\u5176\u4ED6\u89E3\u51B3\u65B9\u6848\u4E2D\u8FD8\u6709\u54EA\u4E00\u4E2A\u53EF\u884C\uFF1F",correct:!0}]}}),Z=new w({}),ee=new x({props:{choices:[{text:"CPU \u4E0E GPU RAM \u4E4B\u95F4\u7684\u6620\u5C04",explain:"\u4E0D\u662F\u8FD9\u6837\u7684---- \u518D\u8BD5\u4E00\u6B21\uFF01"},{text:"RAM \u548C\u6587\u4EF6\u7CFB\u7EDF\u5B58\u50A8\u4E4B\u95F4\u7684\u6620\u5C04",explain:"\u6B63\u786E\uFF01\u{1F917} Datasets \u5C06\u6BCF\u4E2A\u6570\u636E\u96C6\u89C6\u4E3A\u4E00\u4E2A\u5185\u5B58\u6620\u5C04\u6587\u4EF6\u3002\u8FD9\u5141\u8BB8\u5E93\u8BBF\u95EE\u548C\u64CD\u4F5C\u6570\u636E\u96C6\u7684\u5143\u7D20\uFF0C\u800C\u65E0\u9700\u5C06\u5176\u5B8C\u5168\u52A0\u8F7D\u5230\u5185\u5B58\u4E2D\u3002",correct:!0},{text:"\u{1F917} Datasets\u7F13\u5B58\u4E2D\u4E24\u4E2A\u6587\u4EF6\u4E4B\u95F4\u7684\u6620\u5C04",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684-\u518D\u8BD5\u4E00\u6B21\uFF01"}]}}),te=new w({}),ae=new x({props:{choices:[{text:"\u8BBF\u95EE\u5185\u5B58\u6620\u5C04\u6587\u4EF6\u6BD4\u4ECE\u78C1\u76D8\u8BFB\u53D6\u6216\u5199\u5165\u78C1\u76D8\u66F4\u5FEB\u3002",explain:"\u6B63\u786E! \u8FD9\u4F7F\u5F97\u{1F917} Datasets \u53EF\u4EE5\u5FEB\u901F\u4F20\u8F93\uFF0C\u4F46\u8FD9\u5E76\u4E0D\u662F\u552F\u4E00\u7684\u597D\u5904\u3002",correct:!0},{text:"\u5E94\u7528\u7A0B\u5E8F\u53EF\u4EE5\u8BBF\u95EE\u4E00\u4E2A\u975E\u5E38\u5927\u7684\u6587\u4EF6\u4E2D\u7684\u6570\u636E\u6BB5\uFF0C\u800C\u4E0D\u5FC5\u9996\u5148\u5C06\u6574\u4E2A\u6587\u4EF6\u8BFB\u5165 RAM\u3002",explain:"\u6B63\u786E! \u2014\u2014\u8FD9\u5141\u8BB8\u{1F917}Datasets\u5728\u4F60\u7684\u7B14\u8BB0\u672C\u7535\u8111\u4E0A\u52A0\u8F7D\u591A\u4E2AGB\u7684\u6570\u636E\u96C6, \u800C\u4E0D\u6D88\u8017\u4F60\u7684CPU\u3002\u5185\u5B58\u6620\u5C04\u8FD8\u63D0\u4F9B\u4E86\u4EC0\u4E48\u5176\u4ED6\u4F18\u52BF?",correct:!0},{text:"\u5B83\u6D88\u8017\u66F4\u5C11\u7684\u80FD\u91CF\uFF0C\u6240\u4EE5\u4F60\u7684\u7535\u6C60\u6301\u7EED\u65F6\u95F4\u66F4\u957F\u3002",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684\u2014\u2014\u518D\u8BD5\u4E00\u6B21\uFF01"}]}}),re=new w({}),se=new Ha({props:{code:`from datasets import load_dataset

dataset = load_dataset("allocine", streaming=True, split="train")
dataset[0]`,highlighted:`<span class="hljs-keyword">from</span> datasets <span class="hljs-keyword">import</span> load_dataset

dataset = load_dataset(<span class="hljs-string">&quot;allocine&quot;</span>, streaming=<span class="hljs-literal">True</span>, split=<span class="hljs-string">&quot;train&quot;</span>)
dataset[<span class="hljs-number">0</span>]`}}),le=new x({props:{choices:[{text:"\u5B83\u8BD5\u56FE\u5BF9\u4E00\u4E2A\u592A\u5927\u800C\u65E0\u6CD5\u653E\u5165 RAM \u7684\u6570\u636E\u96C6\u8FDB\u884C\u6D41\u5F0F\u5904\u7406\u3002",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684---- \u6D41\u6570\u636E\u96C6\u662F\u52A8\u6001\u89E3\u538B\u7684, \u4F60\u53EF\u4EE5\u7528\u975E\u5E38\u5C0F\u7684RAM\u5904\u7406TB\u5927\u5C0F\u7684\u6570\u636E\u96C6!"},{text:"\u5B83\u5C1D\u8BD5\u8BBF\u95EE &amp;lt; code > IterableDataset &amp;lt;/code > \u3002",explain:"\u6B63\u786E! &amp;lt; code > IterableDataset &amp;lt;/code > \u662F\u4E00\u4E2A\u751F\u6210\u5668, \u800C\u4E0D\u662F\u4E00\u4E2A\u5BB9\u5668, \u56E0\u6B64\u4F60\u5E94\u8BE5\u4F7F\u7528 &amp;lt; code > next (iter (dataset)) &amp;lt;/code > \u6765\u8BBF\u95EE\u5B83\u7684\u5143\u7D20\u3002",correct:!0},{text:"\u6570\u636E\u96C6 &amp;lt; code > allocine &amp;lt;/code > \u6CA1\u6709\u5206\u5272&amp;lt; code >\u8BAD\u7EC3\u96C6&amp;lt;/code >\u3002",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684---- \u67E5\u770B Hub \u4E0A\u7684[ &amp;lt; code > allocine &amp;lt;/code > dataset card ]( https://huggingface.co/datasets/allocine ), \u770B\u770B\u5B83\u5305\u542B\u54EA\u4E9B\u62C6\u5206\u3002"}]}}),oe=new w({}),pe=new x({props:{choices:[{text:"\u5B83\u63D0\u4F9B\u4E86\u5173\u4E8E\u6570\u636E\u96C6\u7684\u9884\u671F\u7528\u9014\u548C\u652F\u6301\u7684\u4EFB\u52A1\u7684\u4FE1\u606F\uFF0C\u4EE5\u4FBF\u793E\u533A\u4E2D\u7684\u5176\u4ED6\u4EBA\u53EF\u4EE5\u5BF9\u4F7F\u7528\u5B83\u505A\u51FA\u660E\u667A\u7684\u51B3\u5B9A\u3002",explain:"\u6B63\u786E\uFF01 \u672A\u8BB0\u5F55\u7684\u6570\u636E\u96C6\u53EF\u7528\u4E8E\u8BAD\u7EC3\u53EF\u80FD\u65E0\u6CD5\u53CD\u6620\u6570\u636E\u96C6\u521B\u5EFA\u8005\u610F\u56FE\u7684\u6A21\u578B, \u6216\u8005\u5982\u679C\u5BF9\u8FDD\u53CD\u9690\u79C1\u6216\u8BB8\u53EF\u9650\u5236\u7684\u6570\u636E\u8FDB\u884C\u8BAD\u7EC3, \u5219\u53EF\u80FD\u4F1A\u4EA7\u751F\u6CD5\u5F8B\u72B6\u6001\u6A21\u7CCA\u7684\u6A21\u578B\u3002\u4E0D\u8FC7, \u8FD9\u5E76\u4E0D\u662F\u552F\u4E00\u7684\u597D\u5904!",correct:!0},{text:"\u5B83\u6709\u52A9\u4E8E\u5F15\u8D77\u4EBA\u4EEC\u5BF9\u8BED\u6599\u5E93\u4E2D\u5B58\u5728\u7684\u504F\u89C1\u7684\u6CE8\u610F\u3002",explain:"\u6B63\u786E\uFF01 \u51E0\u4E4E\u6240\u6709\u6570\u636E\u96C6\u90FD\u5B58\u5728\u67D0\u79CD\u5F62\u5F0F\u7684\u504F\u5DEE, \u8FD9\u53EF\u80FD\u4F1A\u4EA7\u751F\u8D1F\u9762\u7684\u540E\u679C\u3002\u4E86\u89E3\u5B83\u4EEC\u6709\u52A9\u4E8E\u6A21\u578B\u6784\u5EFA\u7740\u4E86\u89E3\u5982\u4F55\u89E3\u51B3\u56FA\u6709\u7684\u504F\u89C1\u3002\u6570\u636E\u96C6\u5361\u8FD8\u6709\u4EC0\u4E48\u5E2E\u52A9\uFF1F",correct:!0},{text:"\u5B83\u63D0\u9AD8\u4E86\u793E\u533A\u4E2D\u5176\u4ED6\u4EBA\u4F7F\u7528\u6211\u7684\u6570\u636E\u96C6\u7684\u673A\u4F1A\u3002",explain:"\u6B63\u786E\uFF01\u4E00\u4E2A\u7F16\u5199\u826F\u597D\u7684\u6570\u636E\u96C6\u5361\u7247\u4F1A\u5E26\u6765\u66F4\u9AD8\u7684\u5B9D\u8D35\u7684\u6570\u636E\u96C6\u4F7F\u7528\u7387\u3002\u5B83\u8FD8\u63D0\u4F9B\u4EC0\u4E48\u5176\u4ED6\u597D\u5904\uFF1F",correct:!0}]}}),ne=new w({}),ie=new x({props:{choices:[{text:"\u4E00\u79CD\u5728\u67E5\u8BE2\u4E2D\u7684\u5355\u8BCD\u548C\u8BED\u6599\u5E93\u4E2D\u7684\u6587\u6863\u4E4B\u95F4\u641C\u7D22\u7CBE\u786E\u5339\u914D\u7684\u65B9\u6CD5",explain:"\u8FD9\u662F\u4E0D\u6B63\u786E\u7684---\u8FD9\u79CD\u7C7B\u578B\u7684\u641C\u7D22\u88AB\u79F0\u4E3A\u201C\u8BCD\u6C47\u641C\u7D22\u201D\uFF0C\u8FD9\u662F\u4F60\u901A\u5E38\u5728\u4F20\u7EDF\u641C\u7D22\u5F15\u64CE\u4E2D\u53EF\u4EE5\u770B\u5230\u7684\u3002"},{text:"\u4E00\u79CD\u901A\u8FC7\u7406\u89E3\u67E5\u8BE2\u7684\u4E0A\u4E0B\u6587\u542B\u4E49\u6765\u641C\u7D22\u5339\u914D\u6587\u6863\u7684\u65B9\u6CD5",explain:"\u6B63\u786E\uFF01 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