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                  Load this dataset directly with the Datasets library
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               First, install dependency and clone NusaCrowd
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               <div style="width: 100%; background: #ffffff; overflow:auto;border:solid gray;border-width:.1em .1em .1em .8em;padding:.2em .6em;"><pre style="margin: 0; line-height: 125%"><span style="color: #888888">pip install datasets</span>
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<span style="color: #888888">git clone https://github.com/IndoNLP/nusa-crowd.git</span>
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               <br/>
               Then, the dataset can be downloaded locally by the python script below:
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                  <!-- HTML generated using hilite.me --><div class="loading-code" style="background: #ffffff; overflow:auto;width:auto;border:solid gray;border-width:.1em .1em .1em .8em;padding:.2em .6em;"><pre style="margin: 0; line-height: 125%"><span style="color: #008800; font-weight: bold">from</span> <span style="color: #0e84b5; font-weight: bold">datasets</span> <span style="color: #008800; font-weight: bold">import</span> load_dataset

path <span style="color: #333333">=</span> <span style="background-color: #fff0f0">&quot;nusa-crowd/nusacrowd/nusa_datasets/<span id="dset_name">TMP</span>&quot;</span>
dataset <span style="color: #333333">=</span> load_dataset(path)

<span style="color: #888888"># see dataset sample:</span>
<span style="color: #007020">print</span>(dataset[<span style="background-color: #fff0f0">&#39;train&#39;</span>]<span style="color: #333333">.</span>to_pandas())
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