---
license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- sr
- hr
- sl
- mk
- bs
pretty_name: Srpski Vikizvornik
size_categories:
- 10M<n<100M
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - wikisrc_sr.jsonl
    - wikisrc_hr.jsonl
    - wikisrc_bs.jsonl
    - wikisrc_sl.jsonl
    - wikisrc_mk.jsonl
  - split: sr
    path:
    - wikisrc_sr.jsonl
  - split: bs
    path:
    - wikisrc_bs.jsonl
  - split: hr
    path:
    - wikisrc_hr.jsonl
  - split: sl
    path:
    - wikisrc_sl.jsonl
  - split: mk
    path:
    - wikisrc_mk.jsonl
---

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


<table style="width:100%;height:100%">
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  <td colspan=2 align=center>
    
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  <tr style="width:100%;height:100%">
    <td width=50%>
      <h2>Vikizvornik na Srpskom (i ostalim južnoslovenskim jezicima)</h2>
      <p>verzija  1.12.2023 - derivacija <a href="https://huggingface.co/datasets/wikimedia/wikisource"><b>Vikimedijinog skupa</b></a></p>
      <p>Ukupno 68,616 dokumenata, <span class="highlight-container"><span class="highlight">~ 100 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>Wikisource in Serbian (and other South-slavic languages)</h2>
      <p>version  1.12.2023 - derived from <a href="https://huggingface.co/datasets/wikimedia/wikisource"><b>Wikimedia dataset</b></a></p>
      <p>A total of 68,616 documents containing <span class="highlight-container"><span class="highlight">~ 100 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>
    <tr>
    <td colspan=2>
      <table style='width:100%;font-size:12pt;text-align:right'>
        <tr>
          <th style='width:40%'><b></b></th>
          <th style='width:15%'><b>Број докумената<br/>Doc. count</b></th>
          <th style='width:15%'><b>Број реченица<br/>Sent. count</b></th>
          <th style='width:15%'><b>Број речи<br/>Word count</b></th>
          <th style='width:15%'><b>Удео<br/>Share</b></th>
        </tr>
        <tr>
          <td>Srpski 🇷🇸</td>
          <td>38,987</td>
          <td>1,268,228</td>
          <td>19,386,154</td>
          <td>19.7%</td>
        </tr>
        <tr>
          <td>Hrvatski 🇭🇷</td>
          <td>8,278</td>
          <td>602,752</td>
          <td>10,280,538</td>
          <td>10.4%</td>
        </tr>
        <tr>
          <td>Bosanski 🇧🇦</td>
          <td>1,918</td>
          <td>163,330</td>
          <td>2,680,118</td>
          <td>2.7%</td>
        </tr>
        <tr>
          <td>Slovenački 🇸🇮</td>
          <td>17,267</td>
          <td>4,670,543</td>
          <td>64,936,933</td>
          <td>66%</td>
        </tr>
        <tr>
          <td>Makedonski 🇲🇰</td>
          <td>2,166</td>
          <td>59,329</td>
          <td>1,143,194</td>
          <td>1.2%</td>
        </tr>
        <tr>
          <td>Bugarski 🇧🇬</td>
          <td>2,316</td>
          <td>184,8839</td>
          <td>3,204,690</td>
          <td>0%</td>
        </tr>
        <tr>
          <td><b>Укупно<br/>Total</b></td>
          <td><b>68,616</b></td>
          <td><b>6,764,182</b></td>
          <td><b>98,426,937</b></td>
          <td><b>100%</b></td>
        </tr>
      </table>
    </td>
  </tr>   
</table>



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


```python
print(dataset["train"][6])
{'text': '<s>Вино пије Краљевићу Марко\nса старицом Јевросимом мајком,\nа кад су се напојили вина,...'}
```


<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>

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       <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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