---
language:
- sr
pretty_name: SMEĆE
size_categories:
- 1B<n<10B
configs:
- config_name: default
  data_files:
  - split: stars
    path: stars.boiler.txt
  - split: train
    path: '*.boiler.txt'
task_categories:
- text-generation
- text-classification
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>SMEĆE</h1>
  </td>
  <tr-->
  <tr style="width:100%;height:100%">
    <td width=50%>
      <h2>Skup teksta koji je obeležen kao smeće prilikom pripremanja drugih korpusa</h2>
      <p>oko 1.5 milijardi "reči"</p>
      <p>Može se koristiti za obučavanje modela za klasifikaciju smeća :)</p>
      <h4>Za korpuse pravog teksta za srpski jezik pogledajte <a
 href="https://huggingface.co/datasets/procesaur/STARS" class="highlight-container">
      <b class="highlight">S.T.A.R.S</b></a> (13,289 disertacija sa <a href="https://nardus.mpn.gov.rs/">NARDUS-a</a>) ili 
        <a href="https://huggingface.co/datasets/procesaur/kisobran" class="highlight-container">
      <b class="highlight">Kišobran veb korpus</b></a> (najveći korpus za srpski jezik).</h4>
    </td>
    <td>
      <h2>A set of text marked as garbage/boilerplate when preparing other corpora</h2>
       <p>around 1.5 billion "words"</p>
       <p>Can be used to train boilerplate classification models :)</p>
       <h4>For real text corpora for Serbian see <a href="https://huggingface.co/datasets/procesaur/STARS" class="highlight-container">
       <b class="highlight">S.T.A.R.S</b></a> (13,289 dissertations from <a href="https://nardus.mpn.gov.rs/">NARDUS</a>) or
         <a href="https://huggingface.co/datasets/procesaur/kisobran" class="highlight-container">
       <b class="highlight">Umbrella web corp.</b></a> (largest corpus for the Serbian language).</h4>
    </td>
  </tr>
</table>



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



<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>


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}
}
```


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