Datasets:
File size: 3,704 Bytes
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license: cc-by-sa-4.0
language:
- sr
- en
pretty_name: NARDUS Metapodaci
size_categories:
- 10K<n<100K
---
# Skup metapodataka sa platforme NARDUS
Skup sadrži sledeće podatke o doktorskim disertacijama:
- URL disertacije
- Naslov na srpskom
- Naslov na engleskom
- Spisak mentora,
- Spisak članova komisije
- Autor,
- Datum objavljivanja
- URI
- Sažetak na srpskom
- Sažetak na engleskom
- Format
- Izdavač (fakultet)
- Prava pristupa
- URI licence
- Spisak kjučnih reči na srpskom
- Spisak kjučnih reči na engleskom
-
URL do PDF-a
- RCUB ID
- Naučna oblast
- Informaciju o link sa kojeg se može skinuti PDF
- Informaciju o tome da li je za taj PDF potreban OCR
- Informaciju o tome da li je disertacija na srpskom jeziku
- Informaciju o tome da li je disertacija objavljena sa ograničavajućom licencom (ARR)
```python
from datasets import load_dataset
dataset = load_dataset("jerteh/NARDUS-meta")
```
```python
print(dataset["train"][3088])
```
<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/Nikola-92">
<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://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/656fa4e1b7b6010db395b74d/3W5VhwkSJ3JSGvlgsx2fx.jpeg?w=200&h=200&f=face)">
</div>
</div>
</a>
<div style="text-align: center; font-size: 16px; font-weight: 800">Nikola Janković</div>
<div>
<a href="https://huggingface.co/Nikola-92">
<div style="text-align: center; font-size: 14px;">@Nikola-92</div>
</a>
</div>
</div>
</div>
<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>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> |