README.md

---
license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- sl
pretty_name: Wiki Triglav
size_categories:
- 100M<n<1B
configs:
- config_name: default
  data_files:
  - split: train
    path:
    - '*.jsonl'
  - split: wikipedia
    path:
    - '*_wiki_*.jsonl'
  - split: wikisource
    path:
    - '*_wikisource_*.jsonl'
  - split: wikibooks
    path:
    - '*_wikibooks_*.jsonl'
  - split: wikiquote
    path:
    - '*_wikiquote_*.jsonl'
---


<table style="width:100%;height:100%">
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      <h2>Wiki korpusi v slovenščini</h2>
      <p>Sveža različica, <span class="highlight-container"><span class="highlight">1. maj 2026</span></span>!</p>
      <p>Očiščen in filtriran nabor štirih projektov: Wikipedia, Wikivir, Wikiknjige in Wikinavedki.</p>
      <p>Več kot 146.000 kuriranih člankov z <span class="highlight-container"><span class="highlight">več kot 130 milijoni besed</span></span>.</p>
      <p></p>
      <p>Vsak dokument je v ločeni vrstici JSON.</p>
      <p>Novi metapodatki! Kategorije, število besed (in odstotek ciriličnega besedila)</p>
      <p>Možnost filtriranja nabora po jeziku ali projektu.</p>
    </td>
      <td width=50%> 
      <h2>Wiki corpora in Slovenian language</h2> 
      <p>Fresh version, <span class="highlight-container"><span class="highlight">1. May 2026</span></span>!</p> 
      <p>Cleaned and filtered set of four projects: Wikipedia, Wikisource, Wikibooks and Wikiquotes.</p> 
      <p>Over 146,000 curated articles, with <span class="highlight-container"><span class="highlight">over 130 million words</span></span>.</p> 
      <p></p> 
      <p>Each document is in a separate JSON line.</p> 
      <p>New metadata! Categories, number of words (and percentage of Cyrillic text)</p> 
      <p>Possible to filter the set by language or project.</p> 
      </td>
  </tr>
</tr>
  <tr>
    <td colspan=2>
      <table style='width:100%;font-size:12pt;text-align:right'>
        <tr>
          <th style='width:25%'><b>Število dokumentov</b></th>
          <th style='width:15%'><b>Wikipedia</b></th>
          <th style='width:15%'><b>Wikivir</b></th>
          <th style='width:15%'><b>Wikicitati</b></th>
          <th style='width:15%'><b>Wikiknjige</b></th>
          <th style='width:15%'><b>Skupaj</b></th>
        </tr>
        <tr>
          <td>Slovene 🇸🇮</td>
          <td>128,303</td>
          <td>16,702</td>
          <td>1,335</td>
          <td>305</td>
          <td>146,645</td>
        </tr>
      </table>
    </td>
  </tr>   
   <tr>
    <td colspan=2>
      <table style='width:100%;font-size:12pt;text-align:right'>
        <tr>
          <th style='width:25%'><b>Število besed</b></th>
          <th style='width:15%'><b>Wikipedia</b></th>
          <th style='width:15%'><b>Wikivir</b></th>
          <th style='width:15%'><b>Wikicitati</b></th>
          <th style='width:15%'><b>Wikiknjige</b></th>
          <th style='width:15%'><b>Skupaj</b></th>
        </tr>
        <tr>
          <td>Slovene 🇸🇮</td>
          <td>68,892,264</td>
          <td>62,046,537</td>
          <td>250,916</td>
          <td>625,851</td>
          <td>131,815,568</td>
        </tr>
      </table>
    </td>
  </tr>   
</table>



```python
# Nalaganje samo wikinavedki
dataset = load_dataset("procesaur/WikiTriglav", split="wikiquote")
print(dataset[1]["text"])
```
```python
1 Navedki
* Pot k umetnosti ne vodi skozi udoben aleje brezkrbnosti in sanj....
```

```python
# Filtriranje po metapodatkih
filtered = dataset.filter(lambda example: example["subject"] == "Pisatelji")
print(f"{filtered[0]["title"]}\n{filtered[0]["text"]} )
```
```python
Ernest Hemingway
1 Navedki
* ''Vsaka zgodba se začne s prvim stavkom in s tem mislim, resničnim stavkom...''...
```

## Cite
```bibtex
@misc{škorić2026wikidumpstrainingcorpora,
      title={Wiki Dumps to Training Corpora: South Slavic Case}, 
      author={Mihailo Škorić},
      year={2026},
      eprint={2604.25384},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2604.25384}, 
}
```

<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%; 
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          </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>


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       <p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA</p>
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      <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA</p>
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