Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
json
Size:
10K - 100K
ArXiv:
Tags:
translation
License:
File size: 2,945 Bytes
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---
license: cc-by-sa-4.0
task_categories:
- text2text-generation
language:
- sr
- en
tags:
- translation
pretty_name: Korpus Paralelnih Sažetaka
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: '*.jsonl'
---
<table style="width:100%;height:100%">
<tr style="width:100%;height:30px">
<td colspan=
2 align=
center>
<h1>PaSaž</h1>
</td>
<tr>
<tr style="width:100%;height:100%">
<td width=50%>
<h3>Korpus Paralelnih Sažetaka doktorskih disertacija na srpskom i engleskom jeziku</h2>
<p>Visoko-kvalitetan skup kratkih prevoda</p>
<p>Ukupno 10.492 paralelnih jedinica. Velika većina sadrži i paralelizovane naslove.</p>
</td>
<td>
<h3>Parallel Serbian-English corpus of doctoral dissertation abstracts</h2>
<p>High-quality set of short translations</p>
<p>A total of 10,492 parallel units. The vast majority also contain parallel titles.</p>
</td>
</tr>
</table>
<img src="PaSaz.webp" class="cover">
```python
from datasets import load_dataset
dataset = load_dataset("jerteh/PaSaz")
```
```python
print(dataset["train"][3088])
```
<div class="inline-flex flex-col" style="line-height: 1.5;">
<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>
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>
|