Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
text
Size:
10M - 100M
ArXiv:
Tags:
webdataset
License:
license: cc-by-sa-4.0 | |
task_categories: | |
- text-generation | |
language: | |
- sr | |
- hr | |
- bs | |
tags: | |
- webdataset | |
pretty_name: Kišobran (Umbrella corp.) | |
size_categories: | |
- 10B<n<100B | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: '*.txt' | |
- split: sr | |
path: '*_sr.txt' | |
- split: cnr | |
path: '*_cnr.txt' | |
- split: hr | |
path: '*_hr.txt' | |
- split: bs | |
path: '*_bs.txt' | |
<img src="cover.png" class="cover"> | |
<table style="width:100%;height:100%"> | |
<!--tr style="width:100%;height:30px"> | |
<td colspan=2 align=center> | |
<h1>Kišobran (Umbrella corp.)</h1> | |
</td> | |
<tr--> | |
<tr style="width:100%;height:100%"> | |
<td width=50%> | |
<h2><span class="highlight-container"><b class="highlight">Kišobran korpus</b></span> - krovni veb korpus srpskog i srpskohrvatskog jezika</h2> | |
<p>Najveća agregacija veb korpusa do sada, pogodna za obučavanje velikih jezičkih modela za srpski jezik.</p> | |
<p>Ukupno x dokumenata, ukupno sa <span class="highlight-container"><span class="highlight">preko 18.5 milijardi reči</span></span>.</p> | |
<p></p> | |
<p>Svaka linija predstavlja novi dokument</p> | |
<p>Rečenice unutar dokumenata su obeležene.</p> | |
<h4>Sadrži obrađene i deduplikovane verzije sledećih korpusa:</h4> | |
</td> | |
<td> | |
<h2><span class="highlight-container"><b class="highlight">Umbrella corp.</b></span> - umbrella web corpus of Serbian and Serbo-Croatian</h2> | |
<p>The largest aggregation of web corpora so far, suitable for training Serbian large language models.</p> | |
<p>A total of x documents containing <span class="highlight-container"><span class="highlight">over 18.5 billion words</span></span>.</p> | |
<p></p> | |
<p>Each line represents a document.</p> | |
<p>Each Sentence in a document is delimited.</p> | |
<h4>Contains processed and deduplicated versions of the following corpora:</h4> | |
</td> | |
</tr> | |
</table> | |
<table class="lista"> | |
<tr> | |
<td>Korpus<br/>Corpus</td> | |
<td>Jezik<br/>Language</td> | |
<td>Broj dokumenata<br/>Doc. count</td> | |
<td>Broj reči<br/>Word count</td> | |
<td>Udeo<br/>Share</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/HPLT/hplt_monolingual_v1_2">HPLT_sr</a></td> | |
<td>🇷🇸</td> | |
<td>2.9 M</td> | |
<td>2.5 B</td> | |
<td>13.74%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1807">MaCoCu_sr</a></td> | |
<td>🇷🇸</td> | |
<td>6.7 M</td> | |
<td>2.1 B</td> | |
<td>11.54%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/allenai/c4">MC4_sr</a></td> | |
<td>🇷🇸</td> | |
<td>2.3 M</td> | |
<td>782 M</td> | |
<td>4.19%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/cc100">cc100_sr</a></td> | |
<td>🇷🇸</td> | |
<td>2.3 M</td> | |
<td>659 M</td> | |
<td>3.53%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1752">PDRS1.0</a></td> | |
<td>🇷🇸</td> | |
<td>400 K</td> | |
<td>506 M</td> | |
<td>2.71%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/jerteh/SrpKorNews">SrpKorNews</a></td> | |
<td>🇷🇸</td> | |
<td>35 K</td> | |
<td>469 M</td> | |
<td>2.51%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/oscar-corpus/OSCAR-2301">OSCAR_sr</a></td> | |
<td>🇷🇸</td> | |
<td>500 K</td> | |
<td>410 M</td> | |
<td>2.2%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1063">srWaC</a></td> | |
<td>🇷🇸</td> | |
<td>1.2 M</td> | |
<td>307 M</td> | |
<td>1.65%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1426">CLASSLA_sr</a></td> | |
<td>🇷🇸</td> | |
<td>1.3 M</td> | |
<td>240 M</td> | |
<td>1.29%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1809">MaCoCu_cnr</a></td> | |
<td>🇷🇸/🇲🇪</td> | |
<td>500 K</td> | |
<td>152 M</td> | |
<td>0.82%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1429">meWaC</a></td> | |
<td>🇷🇸/🇲🇪</td> | |
<td>200 K</td> | |
<td>41 M</td> | |
<td>0.22%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/cc100">cc100_hr</a></td> | |
<td>🇭🇷</td> | |
<td>13.3 M</td> | |
<td>2.5 B</td> | |
<td>13.73%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1806">MaCoCu_hr</a></td> | |
<td>🇭🇷</td> | |
<td>8 M</td> | |
<td>2.3 B</td> | |
<td>12.63%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/HPLT/hplt_monolingual_v1_2">HPLT_hr</a></td> | |
<td>🇭🇷</td> | |
<td>2.3 M</td> | |
<td>1.8 B</td> | |
<td>9.95%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/classla/xlm-r-bertic-data">hr_news</a></td> | |
<td>🇭🇷</td> | |
<td>4.1 M</td> | |
<td>1.4 B</td> | |
<td>7.65%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1064">hrWaC</a></td> | |
<td>🇭🇷</td> | |
<td>3.1 M</td> | |
<td>935 M</td> | |
<td>5.01%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1426">CLASSLA_hr</a></td> | |
<td>🇭🇷</td> | |
<td>1.2 M</td> | |
<td>160 M</td> | |
<td>0.86%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1180">riznica</a></td> | |
<td>🇭🇷</td> | |
<td>20 K</td> | |
<td>69 M</td> | |
<td>0.37%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1808">MaCoCu_bs</a></td> | |
<td>🇧🇦</td> | |
<td>2.6 M</td> | |
<td>700 M</td> | |
<td>3.75%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1062">bsWaC</a></td> | |
<td>🇧🇦</td> | |
<td>800 K</td> | |
<td>194 M</td> | |
<td>1.04%</td> | |
</tr> | |
<tr> | |
<td><a href="https://www.clarin.si/repository/xmlui/handle/11356/1426">CLASSLA_bs</a></td> | |
<td>🇧🇦</td> | |
<td>800 K</td> | |
<td>105 M</td> | |
<td>0.56%</td> | |
</tr> | |
<tr> | |
<td><a href="https://huggingface.co/datasets/cc100">cc100_bs</a></td> | |
<td>🇧🇦</td> | |
<td>300 K</td> | |
<td>9 M</td> | |
<td>0.05%</td> | |
</tr> | |
<tr> | |
<td><b>TOTAL</b></td> | |
<td></td> | |
<td><b>54.75 M</b></td> | |
<td><b>18.65 B</b></td> | |
<td>100%</td> | |
</tr> | |
</table> | |
Load complete dataset / Učitavanje kopletnog dataseta | |
```python | |
from datasets import load_dataset | |
dataset = load_dataset("procesaur/umbrella") | |
``` | |
Load a specific language / Učitavanje pojedinačnih jezika | |
```python | |
from datasets import load_dataset | |
dataset_sr = load_dataset("procesaur/umbrella", split="sr") | |
dataset_cnr = load_dataset("procesaur/umbrella", split="cnr") | |
dataset_hr = load_dataset("procesaur/umbrella", split="hr") | |
dataset_bs = load_dataset("procesaur/umbrella", split="bs") | |
``` | |
<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('https://cdn-uploads.huggingface.co/production/uploads/1673534533167-63bc254fb8c61b8aa496a39b.jpeg?w=200&h=200&f=face')"> | |
</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> | |
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> | |
<p>Svaki korpus u tabeli vezan je za URL sa kojeg je preuzet. Prikazani brojevi dokumenata i reči, odnose se na stanje nakon čićenja i deduplikacije.</p> | |
<p>Deduplikacija je izvršena pomoću alata <a href="http://corpus.tools/wiki/Onion">onion</a> korišćenjem pretrage 6-torki i pragom dedumplikacije 75%.</p> | |
<p>Računarske resursre neophodne za deduplikaciju korpusa obezbedila je Nacionalna platforma za veštačku inteligenciju Srbije.</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> | |
<p>Each corpus in the table is linked to the URL from which it was downloaded. The displayed numbers of documents and words refer to after cleaning and deduplication.</p> | |
<p>The dataset was deduplicated using <a href="http://corpus.tools/wiki/Onion">onion</a> using 6-tuples search and a duplicate threshold of 75%.</p> | |
<p>Computer resources necessary for the deduplication of the corpus were provided by the National Platform for Artificial Intelligence of Serbia.</p> | |
</td> | |
</tr> | |
</table> | |
<div id="zastava"> | |
<div class="grb"> | |
<img src="https://www.ai.gov.rs/img/logo_60x120-2.png" style="position:relative; left:30px; z-index:10; height:85px"> | |
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</table> | |
</div> | |
<style> | |
.ffeat: { | |
color:red | |
} | |
.cover { | |
width: 100%; | |
margin-bottom: 5pt | |
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