README.md

---
language:
- sr
pretty_name: S.T.A.R.S.
size_categories:
- 100M<n<1B
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - '*_sr.jsonl'
    - '*_cnr.jsonl'
task_categories:
- text-generation
license: cc-by-sa-4.0
---

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


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

  <td colspan=2 align=center>
    <h1>S.T.A.R.S.</h1>
  </td>
  <tr-->
  <tr style="width:100%;height:100%">
    <td width=50%>
      <h2>Скуп Теза и Академских Радова на Српском</h2>
      <p><span class="highlight-container"><span class="highlight">Високо-квалитетан скуп</span></span> објављених научних радова писаних на српском језику.</p>
      <p>Неопходан за обучавање квалитетних језичких модела за српски језик.</p>
      <p>Укупно 23,340 докумената, укупно са 27.8 милиона реченица и<span class="highlight-container"><span class="highlight">преко 700 милиона речи</span></span>.</p>
      <p>Филтрирање могуће по институцијама, ауторима, кључним речима.</p>
      <p>Свака ЈСОН линија представља једну публикацију.</p>
      <p>Унутар сваког документа су обележене реченице и параграфи.</p>
    </td>
    <td>
      <h2>Set of Thesis and Academic Research in Serbian</h2>
      <p><span class
="highlight-container"><span class="highlight">Highly curated, High-quality</span></span>, Serbian scientific corpus</p>
      <p>Necessary for training quality language models for Serbian.</p>
      <p>A total of 23,340 documents containing 27.8 million sentences and<span class="highlight-container"><span class="highlight">over 700 million words</span></span>.</p>
      <p>Filtering possible by institutions, authors, keywords.</p>
      <p>Each JSON line represents one publication.</p>
      <p>All documents are paragraph and sentence-delimited.</p>
    </td>
  </tr>
    <tr>
    <td>Izvori:</td>
    <td>Sources</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>НАРДУС дисертације<br/>NARDUS doc. dissertations</td>
          <td>11,464</td>
          <td>22,826,613</td>
          <td>576,600,000</td>
          <td>81.9%</td>
        </tr>
        <tr>
          <td>Институционални репозиторијуми<br/>Institutional repositories</td>
          <td>10,982</td>
          <td>4,265,164</td>
          <td>111,400,000</td>
          <td>15.8%</td>
        </tr>
        <tr>
          <td>Универзитет Црне Горе<br/>University of Montenegro</td>
          <td>315</td>
          <td>605,119</td>
          <td>14,500,000</td>
          <td>2%</td>
        </tr>
        <tr>
          <td>OpenSlovenia</td>
          <td>571</td>
          <td>42,777</td>
          <td>1,080,000</td>
          <td>0.2%</td>
        </tr>
        <tr>
          <td>Универзитет у Источном Сарајеву<br/>University of East Sarajevo</td>
          <td>8</td>
          <td>21,156</td>
          <td>510,000</td>
          <td>0.1%</td>
        </tr>
        <tr>
          <td><b>Укупно<br/>Total</b></td>
          <td><b>23,340</b></td>
          <td><b>27,760,829</b></td>
          <td><b>704,000,000</b></td>
          <td><b>100%</b></td>
        </tr>
      </table>
    </td>
  </tr>   
</table>



```python
from datasets import load_dataset
dataset = load_dataset("procesaur/STARS")["train"]["text"]
```


```python
print(dataset[0])
'<s>Na oraničnim površinama gaje se raznovrsne ratarske kulture koje imaju važno mesto u našoj...'
```


<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: 14px;">@procesaur</div>
      </a>
    </div>
  </div>
</div>

<div class="inline-flex flex-col" style="line-height: 1.5;">
  
  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
    <a href="https://huggingface.co/Nikola-92">  
      <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(https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/656fa4e1b7b6010db395b74d/3W5VhwkSJ3JSGvlgsx2fx.jpeg?w=200&h=200&f=face)">
          </div>
      </div>
    </a>
    <div style="text-align: center; font-size: 16px; font-weight: 800">Nikola Janković</div>
    <div>  
      <a href="https://huggingface.co/Nikola-92">
      	<div style="text-align: center; font-size: 14px;">@Nikola-92</div>
      </a>
    </div>
  </div>
</div>



Citation:

```bibtex
@article{skoric24korpusi,
  author    = {\vSkori\'c, Mihailo and Jankovi\'c, Nikola},
  title     = {New Textual Corpora for Serbian Language Modeling},
  journal   = {Infotheca},
  volume    = {24},
  issue     = {1},
  year      = {2024},
  publisher = {Zajednica biblioteka univerziteta u Srbiji, Beograd},
  url       = {https://arxiv.org/abs/2405.09250}
}
```

<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.</p>
    </td>
    <td>
      <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA.</p>
    </td>
  </tr>
</table>

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      <h4>За комплетне метаподатке докторских дисертација погледајте<a href="https://huggingface.co/datasets/jerteh/NARDUS-meta" class="highlight-container">
      <b class="highlight">NARDUS-meta</b></a> (метаподаци 13,289 дисертација са<a href="https://nardus.mpn.gov.rs/">НАРДУС-а</a>).</h4>
      <h4>За паралелни КОРПУС ПРЕВОДА сажетака погледајте<a href="https://huggingface.co/datasets/jerteh/PaSaz" class="highlight-container">
      <b class="highlight">PaSaž</b></a> (преко 20,000 паралелних сегмената).</h4>
    </td>
    <td>
      <h4>For the complete metadata check out <a href="https://huggingface.co/datasets/jerteh/NARDUS-meta" class="highlight-container">
      <b class="highlight">NARDUS-meta</b></a> (metadata for 13,289 dissertations from <a href="https://nardus.mpn.gov.rs/">NARDUS-a</a>).</h4>
      <h4>For the coprus of PARALEL TRANSALTIONS check out <a href="https://huggingface.co/datasets/jerteh/PaSaz" class="highlight-container">
      <b class="highlight">PaSaž</b></a> (over 20,000 paralel segments).</h4>
    </td>
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</table>

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