Datasets:
Update README.md
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README.md
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task_categories:
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- text-generation
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language:
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- sr
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- hr
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- sl
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pretty_name: Srpski Vikizvornik
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size_categories:
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configs:
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- config_name: default
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data_files:
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- split: train
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path:
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- wikisrc_bs.jsonl
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- wikisrc_mk.jsonl
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- split: sr
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path:
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---
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<!--img src="cover.png" class="cover"-->
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<table style="width:100%;height:100%">
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<!--tr style="width:100%;height:30px">
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<tr-->
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<tr style="width:100%;height:100%">
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<td width=50%>
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<h2>
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<p>
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<p>
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<p></p>
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<p>Svaki dokument je u zasebnoj JSON liniji.</p>
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<p>Paragrafi su odvojeni duplim novim redom (\n\n).</p>
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<p>Rečenice unutar paragrafa su obeležene.</p>
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</td>
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<td>
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<h2>Wikisource in Serbian (and other South-slavic languages)</h2>
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<p>version 1.12.2023 - derived from <a href="https://huggingface.co/datasets/wikimedia/wikisource"><b>Wikimedia dataset</b></a></p>
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<p>A total of 68,616 documents containing <span class="highlight-container"><span class="highlight">~ 100 million words</span></span>.</p>
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<p></p>
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</tr>
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<td colspan=2>
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<table style='width:100%;font-size:12pt;text-align:right'>
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<tr>
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<td>Hrvatski 🇭🇷</td>
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<td>8,278</td>
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<td>602,752</td>
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<td>10,280,538</td>
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<td>10.4%</td>
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<td>Bosanski 🇧🇦</td>
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<td>1,918</td>
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<td>163,330</td>
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<td>2,680,118</td>
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<td>2.7%</td>
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<td>Slovenački 🇸🇮</td>
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<td>17,267</td>
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<td>4,670,543</td>
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<td>64,936,933</td>
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<td>66%</td>
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<tr>
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<td><b>Укупно<br/>Total</b></td>
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<td><b>68,616</b></td>
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<td><b>6,764,182</b></td>
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<td><b>98,426,937</b></td>
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<td><b>100%</b></td>
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</tr>
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</table>
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</td>
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```python
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dataset = load_dataset("procesaur/
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```
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```python
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```
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<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:50px">
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
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<div>
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<a href="https://huggingface.co/procesaur">
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<div style="text-align: center; font-size:
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px;">@procesaur</div>
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</a>
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</div>
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</div>
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</div>
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<div class="grb">
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<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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</div>
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<table style="width:100%;height:100%">
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<p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA
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и Фода за иновациону делатност Републике Србије у оквиру програма GOVTECH, решење #53096, Дигитекс</p>
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</td>
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<td>
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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
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and the Fund for Republic of Serbia Innovation Fund via the GOVTECH program, project #53096, Digiteks</p>
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</tr>
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</table>
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task_categories:
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- text-generation
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language:
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- sl
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pretty_name: Wiki Triglav
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size_categories:
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- 100M<n<1B
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configs:
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- config_name: default
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data_files:
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- split: train
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path:
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- '*.jsonl'
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- split: wikipedia
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path:
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- '*_wiki_*.jsonl'
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- split: wikisource
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path:
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- '*_wikisource_*.jsonl'
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- split: wikibooks
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path:
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- '*_wikibooks_*.jsonl'
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- split: wikiquote
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path:
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- '*_wikiquote_*.jsonl'
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- split: wikinews
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path:
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- '*_wikinews_*.jsonl'
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---
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<table style="width:100%;height:100%">
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<!--tr style="width:100%;height:30px">
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<tr-->
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<tr style="width:100%;height:100%">
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<td width=50%>
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<h2>Wiki korpusi v slovenščini</h2>
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<p>Sveža različica, <span class="highlight-container"><span class="highlight">1. maj 2026.</span></span>!</p>
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<p>Očiščen in filtriran nabor štirih projektov: Wikipedia, Wikisource, Wikiknjige in Wikicitati.</p>
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<p>Več kot 146.000 kuriranih člankov z <span class="highlight-container"><span class="highlight">več kot 130 milijoni besed</span></span>.</p>
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<p></p>
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<p>Vsak dokument je v ločeni vrstici JSON.</p>
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<p>Novi metapodatki! Kategorije, število besed (in odstotek ciriličnega besedila)</p>
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<p>Možnost filtriranja nabora po jeziku ali projektu.</p>
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</td>
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<td width=50%>
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<h2>Wiki corpora in Slovenian language</h2>
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<p>Fresh version, <span class="highlight-container"><span class="highlight">1. May 2026.</span></span>!</p>
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<p>Cleaned and filtered set of four projects: Wikipedia, Wikisource, Wikibooks and Wikiquotes.</p>
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<p>Over 146,000 curated articles, with <span class="highlight-container"><span class="highlight">over 130 million words</span></span>.</p>
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<p></p>
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<p>Each document is in a separate JSON line.</p>
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<p>New metadata! Categories, number of words (and percentage of Cyrillic text)</p>
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<p>Possible to filter the set by language or project.</p>
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</td>
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<td colspan=2>
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<table style='width:100%;font-size:12pt;text-align:right'>
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<tr>
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<th style='width:40%'><b>Število dokumentov</b></th>
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<th style='width:15%'><b>Wikipedia</b></th>
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<th style='width:15%'><b>Wikivir</b></th>
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<th style='width:15%'><b>Wikicitati</b></th>
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<th style='width:15%'><b>Wikiknjige</b></th>
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<th style='width:15%'><b>Skupaj</b></th>
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</tr>
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<tr>
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<td>Slovene 🇸🇮</td>
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<td>128,303</td>
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<td>16,702</td>
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<td>1,335</td>
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<td>305</td>
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<td>146,645</td>
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</table>
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<table style='width:100%;font-size:12pt;text-align:right'>
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<tr>
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<th style='width:40%'><b>Število besed</b></th>
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<th style='width:15%'><b>Wikipedia</b></th>
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<th style='width:15%'><b>Wikivir</b></th>
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<th style='width:15%'><b>Wikicitati</b></th>
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<th style='width:15%'><b>Wikiknjige</b></th>
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<th style='width:15%'><b>Skupaj</b></th>
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</tr>
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<tr>
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<td>Slovene 🇸🇮</td>
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<td>68,892,264</td>
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<td>62,046,537</td>
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<td>250,916</td>
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<td>625,851</td>
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<td>131,815,568</td>
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</tr>
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</tr>
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</table>
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</td>
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```python
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# Nalaganje samo wikicitatov
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dataset = load_dataset("procesaur/WikiTriglav", split="wikiquote")
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print(dataset[5]["text"])
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```
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```python
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1 Citati
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Čovjek je, Senada, teški hajvan. I ono malo duše što ima, šejtan mu je dao da mu bude teže...
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```
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```python
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# Filtriranje prema metapodacima
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filtered = dataset.filter(lambda example: example["subject"] == "J.R.R. Tolkin")
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print(f"{filtered[0]["title"]}\n{filtered[0]["text"]} )
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```
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```python
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Gospodar prstenova: Povratak kralja
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1 Citati
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*Gandalf: "Sutra će biti veći jad nego što je bio danas i tako će biti još dugo...
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```
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<div class="inline-flex flex-col" style="line-height: 1.5;padding-right:50px">
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
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<div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
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<div>
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<a href="https://huggingface.co/procesaur">
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<div style="text-align: center; font-size: 14px;">@procesaur</div>
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</a>
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<img src="cover.png" class="cover">
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<!--div id="zastava">
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<div class="grb">
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<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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</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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</td>
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<td>
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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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</table-->
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