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:
    - nardus.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>Skup Teza i Akademskih Radova na Srpskom</h2>
      <p><span class="highlight-container"><span class="highlight">Visoko-kvalitetan skup</span></span> doktorskih disertacija objavljenih u Srbiji i pisanih na srpskom jeziku</p>
      <p>Neophodan za obučavanje kvalitetnih jezičkih modela za srpski jezik.</p>
      <p>Ukupno 11,624 dokumenata, ukupno sa <span class="highlight-container"><span class="highlight">preko 556 miliona reči</span></span>.</p>
      <p></p>
      <p>Svaki dokument je odvojen duplom novom linijom.</p>
      <p>Svaka linija predstavlja jedan paragraf.</p>
      <p>Rečenice unutar paragrafa su obeležene.</p>
      <h4>Za kompletne metapodatke dokumenata pogledajte <a href="https://huggingface.co/datasets/jerteh/NARDUS-meta" class="highlight-container">
      <b class="highlight">NARDUS-meta</b></a> (metapodaci 13,289 disertacija sa <a href="https://nardus.mpn.gov.rs/">NARDUS-a</a>).</h4>
      <h4>Za paralelni KORPUS PREVODA sažetaka pogledajte <a href="https://huggingface.co/datasets/jerteh/PaSaz" class="highlight-container">
      <b class="highlight">PaSaž</b></a> (preko 20,000 paralelnih segmenata).</h4>
    </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 doctoral dissertation corpus</p>
      <p>Necessary for training quality language models for Serbian.</p
>
      <p>A total of 11,624 documents containing <span class="highlight-container"><span class="highlight">over 556 million words</span></span>.</p>
      <p></p>
      <p>Each document is delimited with double newline.</p>
      <p>Each line represents one paragraph.</p>
      <p>Each Sentence in a document is delimited.</p>
      <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>
  </tr>
</table>



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


```python
print(dataset["train"][2])
{'text': '<s>Moguće strukture aerosol čestice NaCl: a) neporozna čvrsta, b) porozna čvrsta, c) čvrsta sa otvorenim džepovima rastovrenog NaCl, d) čvrsta čaura sa vodenim jezgrom, e) čvrsta NaCl čestica sa jezgrom vodenog rastvora NaCl, f) vodena kapljica NaCl.</s><s>Linije na slikama predstavljaju adsorbovanu vodu.</s>
'}
```


<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>

<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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