README.md

---
language:
- sr
- hr
- sl
- bs
pretty_name: ZNANJE
size_categories:
- 1B<n<10B
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - '*_sr.jsonl'
    - '*_hr.jsonl'
    - '*_cnr.jsonl'
    - '*_bs.jsonl'
  - split: sr
    path: '*_sr.jsonl'
  - split: hr
    path: '*_hr.jsonl'
  - split: si
    path: '*_si.jsonl'
  - split: bs
    path: '*_bs.jsonl'
  - split: sve
    path:
    - '*_sr.jsonl'
    - '*_hr.jsonl'
    - '*_cnr.jsonl'
    - '*_bs.jsonl'
    - '*_si.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>ZNANJE</h1>
  </td>
  <tr-->
  <tr style="width:100%;height:100%">
    <td width=50%>
      <h2>Skup naučnih publikacija na Južnoslovenskim jezicima</h2>
      <p><span class="highlight-container"><span class="highlight">Visoko-kvalitetan skup</span></span> raznovrsnih naučnih publikacija</p>
      <p>Neophodan za obučavanje kvalitetnih jezičkih modela za južnoslovenske jezike.</p>
      <p>Ukupno 280,460 dokumenata, ukupno sa <span class="highlight-container"><span class="highlight">preko 4.2 milijarde reči</span></span>.</p>
      <p></p>
      <p>Svaka JSON linija predstavlja jednu publikaciju.</p>
      <p>Unutar svakog dokumenta su obeležene rečenice i paragrafi.</p>
    </td>
    <td>
      <h2>Set of South Slavic Scientific Research publications</h2>
      <p><span class="highlight-container"><span class="highlight">Highly curated, High-quality</span></span>and diverse scientific publications.</p>
      <p>Necessary for training quality language models for South Slavic languages.</p>
      <p>A total of 280,460 documents containing <span class="highlight-container"><span class="highlight">over 4.2 billion words</span></span>.</p>
      <p></p>
      <p>Each JSON line represents one publication.</p>
      <p>All documents are paragraph and sentence-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><a href="https://huggingface.co/datasets/procesaur/STARS">Korpus S.T.A.R.S.</a><br/>🇷🇸</td>
          <td>23,215</td>
          <td>27,662,960</td>
          <td>700,000,000</td>
          <td>16.6%</td>
        </tr>
        <tr>
          <td><a href="https://dabar.srce.hr">DABAR</a><br/>🇭🇷</td>
          <td>108,786</td>
          <td>53,369,657</td>
          <td>1,214,000,000</td><!--td>1,214,134,429</td-->
          <td>28.9%</td>
        </tr>
        <tr>
          <td><a href="http://www.openscience.si">Open Science Slovenia</a><br/>🇸🇮 🇷🇸 🇭🇷 🇧🇦</td>
          <!--td>176</td>
          <td>113,339</td>
          <td>2,694,331</td>
          <td></td-->
          <td>148,334</td>
          <td>105,099,752</td>
          <td>2,296,000,000</td><!--td>2,295,828,582</td-->
          <td>54.5%</td>
        </tr>
        <tr>
          <td><b>Укупно<br/>Total</b></td>
          <td><b>280,335</b></td>
          <td><b>186,132,369</b></td>
          <td><b>4,210,000,000</b></td>
          <td><b>100%</b></td>
        </tr>
      </table>
    </td>
  </tr>   
</table>



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



<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;">
  

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>Istraživanje je sprovedeno uz podršku Fonda za nauku Republike Srbije, #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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