Datasets:
File size: 11,443 Bytes
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license: cc-by-sa-3.0
task_categories:
- text-generation
language:
- sr
- hr
- bs
pretty_name: Vikipedija
size_categories:
- 100M<n<1B
configs:
- config_name: default
data_files:
- split: train
path:
- '*.jsonl'
- split: sr
path:
- 'sr_*.jsonl'
- split: sh
path:
- 'sh_*.jsonl'
- split: hr
path:
- 'hr_*.jsonl'
- split: bs
path:
- 'bs_*.jsonl'
- split: wikipedia
path:
- '*_wiki_*.jsonl'
- split: wikisource
path:
- '*_wikisource_*.jsonl'
- split: wikibooks
path:
- '*_wikibooks_*.jsonl'
- split: wikiquote
path:
- '*_wikiquote_*.jsonl'
- split: wikinews
path:
- '*_wikinews_*.jsonl'
---
<table style="width:100%;height:100%">
<!--tr style="width:100%;height:30px">
<td colspan=2 align=center>
</td>
<tr-->
<tr style="width:100%;height:100%">
<td width=50%>
<h2>Viki korpusi na srpskom i hrvatskom jeziku</h2>
<p>Sveža verzija, <span class="highlight-container"><span class="highlight">1. maj 2026</span></span>!</p>
<p>Očišćen i filtriran skup pet projekata: Vikipedija, Vikizvornik, Vikiknjige, Vikivesti i Vikicitati.</p>
<p>Preko 670.000 očišćenih članaka, sa <span class="highlight-container"><span class="highlight">preko 310 miliona reči</span></span>.</p>
<p></p>
<p>Svaki dokument je u zasebnoj JSON liniji.</p>
<p>Novi metapodaci! Kategorije, broj reči i postotak ćiriličnog teksta</p>
<p>Moguće filtiranje skupa po jeziku ili projektu.</p>
</td>
<td>
<h2>Wiki corpora in Serbian and Croatian language</h2>
<p>Fresh version, <span class="highlight-container"><span class="highlight">May 1<sup>st</sup> 2026</span></span>!</p>
<p>Cleaned and filtered set of five projects: Wikipedia, Wikisource, Wikibooks, Wikinews and Wikiquotes.</p>
<p>Over 670,000 cleaned articles, with <span class="highlight-container"><span class="highlight">over 310 million words</span></span>.</p>
<p></p>
<p>Each document is in a separate JSON line.</p>
<p>New Metadata! Categories, word count 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:16%'><b>Broj dokumenata<br/>Doc. count</b></th>
<th style='width:12%'><b>Vikipedija<br/>Wikipedia</b></th>
<th style='width:12%'><b>Vikizvornik<br/>Wikisource</b></th>
<th style='width:12%'><b>Vikivesti<br/>Wikinews</b></th>
<th style='width:12%'><b>Vikicitati<br/>Wikiquotes</b></th>
<th style='width:12%'><b>Vikiknjige<br/>Wikibooks</b></th>
<th style='width:12%'><b>Ukupno<br/>Total</b></th>
<th style='width:12%'><b>Udeo<br/>Share</b></th>
</tr>
<tr>
<td>Srpski 🇷🇸</td>
<td>237,255</td>
<td>36,992</td>
<td>53,012</td>
<td>5,101</td>
<td>648</td>
<td>333,008</td>
<td>49.2%</td>
</tr>
<tr>
<td>Hrvatski 🇭🇷</td>
<td>152,894</td>
<td>9,392</td>
<td></td>
<td>18</td>
<td>1,117</td>
<td>163,421</td>
<td>24.1%</td>
</tr>
<tr>
<td>Srpskohrvatski 🇷🇸🇭🇷</td>
<td>130,299</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>130,299</td>
<td>19.2%</td>
</tr>
<tr>
<td>Bosanski 🇧🇦</td>
<td>47,610</td>
<td>1,890</td>
<td>343</td>
<td>527</td>
<td>45</td>
<td>50,415</td>
<td>7.4%</td>
</tr>
<tr>
<td><b>Ukupno / Total</b></td>
<td>568,058</td>
<td>48,274</td>
<td>53,355</td>
<td>5,646</td>
<td>1,810</td>
<td>677,143</td>
<td>100%</td>
</tr>
</table>
</td>
</tr>
<tr>
<td colspan=2>
<table style='width:100%;font-size:12pt;text-align:right'>
<tr>
<th style='width:16%'><b>Broj reči<br/>Word count</b></th>
<th style='width:12%'><b>Vikipedija<br/>Wikipedia</b></th>
<th style='width:12%'><b>Vikizvornik<br/>Wikisource</b></th>
<th style='width:12%'><b>Vikivesti<br/>Wikinews</b></th>
<th style='width:12%'><b>Vikicitati<br/>Wikiquotes</b></th>
<th style='width:12%'><b>Vikiknjige<br/>Wikibooks</b></th>
<th style='width:12%'><b>Ukupno<br/>Total</b></th>
<th style='width:12%'><b>Udeo<br/>Share</b></th>
</tr>
<tr>
<td>Srpski 🇷🇸</td>
<td>134,515,581</td>
<td>22,210,921</td>
<td>7,577,930</td>
<td>1,036,743</td>
<td>712,395</td>
<td>166,053,570</td>
<td>53.4%</td>
</tr>
<tr>
<td>Hrvatski 🇭🇷</td>
<td>57,985,132</td>
<td>9,674,234</td>
<td></td>
<td>5,035</td>
<td>303,226</td>
<td>67,967,627</td>
<td>21.8%</td>
</tr>
<tr>
<td>Srpskohrvatski 🇷🇸🇭🇷</td>
<td>50,153,319</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>50,153,319</td>
<td>16.1%</td>
</tr>
<tr>
<td>Bosanski 🇧🇦</td>
<td>24,479,558</td>
<td>2,264,631</td>
<td>46,735</td>
<td>147,015</td>
<td>29,389</td>
<td>26,967,328</td>
<td>8.7%</td>
</tr>
<tr>
<td><b>Ukupno / Total</b></td>
<td>267,133,590</td>
<td>34,149,786</td>
<td>7,624,665</td>
<td>1,188,793</td>
<td>1,045,010</td>
<td>311,141,844</td>
<td>100%</td>
</tr>
</table>
</td>
</tr>
</table>
```python
from datasets import load_dataset
# Učitavanje samo srpskog dela
dataset = load_dataset("procesaur/WikiViki", split="sr")
print(dataset[6]["text"])
```
```python
Хоби је име за активност која се обавља због личног задовољства, а не због новчаних награда или примања...
```
```python
from datasets import load_dataset
# Učitavanje samo vikicitata
dataset = load_dataset("procesaur/WikiViki", split="wikiquote")
print(dataset[5]["text"])
```
```python
1 Citati
Čovjek je, Senada, teški hajvan. I ono malo duše što ima, šejtan mu je dao da mu bude teže...
```
```python
# Filtriranje prema metapodacima
filtered = dataset.filter(lambda example: example["subject"] == "J.R.R. Tolkin")
print(f"{filtered[0]["title"]}\n{filtered[0]["text"]} )
```
```python
Gospodar prstenova: Povratak kralja
1 Citati
*Gandalf: "Sutra će biti veći jad nego što je bio danas i tako će biti još dugo...
```
## Cite
```bibtex
@misc{škorić2026wikidumpstrainingcorpora,
title={Wiki Dumps to Training Corpora: South Slavic Case},
author={Mihailo Škorić and Cosimo Palma},
year={2026},
eprint={2604.25384},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2604.25384},
}
```
<div class="inline-flex flex-col avatar-cont">
<div class="avatar-title">Editor</div>
<a href="https://huggingface.co/procesaur">
<div class="flex">
<div class="avatar-cover"
style="background-image: url('https://huggingface.co/static-proxy/cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face')">
</div>
</div>
<div class="avatar-name">Mihailo Škorić</div>
<div class="avatar-handle">@procesaur</div>
</a>
</div>
</div>
<div class="inline-flex flex-col avatar-cont">
<div class="avatar-title">Data</div>
<a href="https://www.wikimedia.org/">
<div class="flex">
<div class="avatar-cover"
style="background-image: url('https://upload.wikimedia.org/wikipedia/commons/thumb/5/53/Wikimedia-logo.png/250px-Wikimedia-logo.png')">
</div>
</div>
<div class="avatar-name">Wikimedia</div>
<div class="avatar-handle">@www.wikimedia.org</div>
</a>
</div>
</div>
<div class="inline-flex flex-col avatar-cont">
<div class="avatar-title">Funding</div>
<a href="https://fondzanauku.gov.rs/">
<div class="flex">
<div class="avatar-cover"
style="background-image: url(https://fondzanauku.gov.rs/wp-content/uploads/2019/04/FZN-logo-primary-light-1170x396.png)">
</div>
</div>
<div class="avatar-name">Fond za Nauku</div>
<div class="avatar-handle">@fondzanauku_rs</div>
</a>
</div>
</div>
<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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<img src="cover.png" class="cover">
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