README.md

---
license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- mk
pretty_name: Viki Sonce
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'
---




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      <h2>Вики корпуси на македонски јазик</h2>
      <p>Свежа верзија, <span class="highlight-container"><span class="highlight">1 мај 2026</span></span>!</p>
      <p>Исчистен и филтриран сет од три проекти: Википедија, Викиизвор и Викикниги</p>
      <p>Над 100.000 курирани статии, со <span class="highlight-container"><span class="highlight">над 50 милиони зборови</span></span>.</p>
      <p></p>
      <p>Секој документ е во посебна JSON линија.</p>
      <p>Нови метаподатоци! Категории, број на зборови и процент на кириличен текст</p>
      <p>Можно е да се филтрира сет по јазик или проект.</p>
    </td>
    <td width=50%> 
      <h2>Wiki corpora in Macedonian</h2> 
      <p>Fresh version, <span class="highlight-container"><span class="highlight">1. May 2026</span></span>!</p> 
      <p>Cleaned and filtered set of three projects: Wikipedia, Wikisource and Wikibooks.</p> 
      <p>Over 100,000 curated articles, with <span class="highlight-container"><span class="highlight">over 50 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>
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    <td colspan=2>
      <table style='width:100%;font-size:12pt;text-align:right'>
        <tr>
          <th style='width:22%'><b>Број на документи<br/>Doc. count</b></th>
          <th style='width:13%'><b>Википедија<br/>Wikipedia</b></th>
          <th style='width:13%'><b>Викиизвор<br/>Wikisource</b></th>
          <th style='width:13%'><b>Викивести<br/>Wikinews</b></th>
          <th style='width:13%'><b>Викицитати<br/>Wikiquotes</b></th>
          <th style='width:13%'><b>Викикниги<br/>Wikibooks</b></th>
          <th style='width:13%'><b>Вкупно<br/>Total</b></th>
        </tr>
        <tr>
          <td>Македонски 🇲🇰</td>
          <td>101,111</td>
          <td>2,028</td>
          <td></td>
          <td></td>
          <td>99</td>
          <td>103,238</td>
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           <th style='width:22%'><b>Број на зборови<br/>Word count</b></th>
          <th style='width:13%'><b>Википедија<br/>Wikipedia</b></th>
          <th style='width:13%'><b>Викиизвор<br/>Wikisource</b></th>
          <th style='width:13%'><b>Викивести<br/>Wikinews</b></th>
          <th style='width:13%'><b>Викицитати<br/>Wikiquotes</b></th>
          <th style='width:13%'><b>Викикниги<br/>Wikibooks</b></th>
          <th style='width:13%'><b>Вкупно<br/>Total</b></th>
        </tr>
        <tr>
          <td>Македонски 🇲🇰</td>
          <td>53,249,522</td>
          <td>1,173,304</td>
          <td></td>
          <td></td>
          <td>29,739</td>
          <td>54,452,563</td>
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```python
# Učitavanje samo Wikibooks
dataset = load_dataset("procesaur/WikiSonce", split="wikibooks")
print(dataset[9]["text"])
```
```python
Викимедиин Готвач''Збирка рецепти од целиот свет.''''Забелешка: Секоја од статите во содржинава...
```

```python
# Filtriranje prema metapodacima
filtered = dataset.filter(lambda example: example["subject"] == "Рецепти за тестенини")
print(f"{filtered[0]["title"]}\n{filtered[0]["text"]} )
```
```python
Готвач:Рецепти за тестенини
Готвач | Индекс на рецепти Тестениини или паста се вид на јадење направена од брашно, вода и понекогаш јајца, која се меша,...
```

## 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>
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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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