Datasets:
Tasks:
Text2Text Generation
Modalities:
Text
Formats:
json
Size:
10K - 100K
ArXiv:
Tags:
translation
License:
metadata
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'
PaSaž |
|
Korpus Paralelnih Sažetaka doktorskih disertacija na srpskom i engleskom jezikuVisoko-kvalitetan skup kratkih prevoda Ukupno 10.492 paralelnih jedinica. Velika većina sadrži i paralelizovane naslove. |
Parallel Serbian-English corpus of doctoral dissertation abstractsHigh-quality set of short translations A total of 10,492 parallel units. The vast majority also contain parallel titles. |

from datasets import load_dataset
dataset = load_dataset("jerteh/PaSaz")
print(dataset["train"][3088])
Citation:
@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}
}
Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA. |
This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA. |