---
license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- sr
pretty_name: Srpska Vikipedija
size_categories:
- 100M<n<1B
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - wiki.sr.jsonl
---

<!--img src="cover.png" class="cover"-->

<div id="zastava">
  <div class="grb">
    <img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px">
  </div>
  <table width=100% style="border:0px">
    <tr style="background-color:#C6363C;width:100%;border:0px;height:30px"><td></td></tr>
    <tr style="background-color:#0C4076;width:100%;border:0px;height:30px"><td></td></tr>
    <tr style="background-color:#ffffff;width:100%;border:0px;height:30px"><td></td></tr>
  </table>
</div>

<table style="width:100%;height:100%">
  <!--tr style="width:100%;height:30px">

  <td colspan=2 align=center>
    
  </td>
  <tr-->
  <tr style="width:100%;height:100%">
    <td width=50%>
      <h2>Srpska Vikipedija</h2>
      <p>verzija  1.11.2023 - derivacija <a href="https://huggingface.co/datasets/wikimedia/wikipedia"><b>Vikimedijinog skupa</b></a></p>
      <p>Ukupno 676,605 dokumenata,  sa <span class="highlight-container"><span class="highlight">preko 135 miliona reči</span></span>.</p>
      <p></p>
      <p>Svaki dokument je u zasebnoj JSON liniji.</p>
      <p>Paragrafi su odvojeni duplim novim redom (\n\n).</p>
      <p>Rečenice unutar paragrafa su obeležene.</p>
    </td>
    <td>
      <h2>Serbian Wikipedia</h2>
      <p>version  1.11.2023 - derived from <a href="https://huggingface.co/datasets/wikimedia/wikipedia"><b>Wikimedia dataset</b></a></p>
      <p>A total of 676,60 documents containing <span class="highlight-container"><span class="highlight">over 135 million words</span></span>.</p>
      <p></p>
      <p>Each document is represented by a JSON line.</p>
      <p>Paragraphs are separated via double new line (\n\n).</p>
      <p>Each Sentence in a document is delimited.</p>
    </td>
  </tr>
</table>



```python
from datasets import load_dataset
dataset = load_dataset("procesaur/Vikipedija")
```


```python
print(dataset["train"][11])
{'text': '<s>Никола Тесла (Смиљан, 10. јул 1856 — Њујорк, 7. јануар 1943) био је српски...'}
```


<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:50px">
  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
    <a href="https://huggingface.co/procesaur">  
      <div class="flex">
          <div
  			style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; 
            background-size: cover; background-image: url(&#39;https://cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face&#39;)">
          </div>
      </div>
    </a>
    <div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
    <div>  
      <a href="https://huggingface.co/procesaur">
      	<div style="text-align: center; font-size: 14
px;">@procesaur</div>
      </a>
    </div>
  </div>
</div>



<table style="width:100%;height:100%">
  <tr style="width:100%;height:100%">
    <td width=50%>
       <p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA 
         и Фода за иновациону делатност Републике Србије у оквиру програма GOVTECH, решење #53096, Дигитекс</p>
    </td>
    <td>
      <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA
        and the Fund for Republic of Serbia Innovation Fund via the GOVTECH program, project #53096, Digiteks</p>
    </td>
  </tr>
</table>



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  position: relative;
  margin-bottom:120px
}

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    font-size:14pt
  }
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