README.md

metadata

task_categories:
  - summarization
  - text-classification
license: cc-by-4.0
language:
  - sr
pretty_name: PaSaž
size_categories:
  - 10K<n<100K

PaSaž
Korpus Paralelnih Sažetaka doktorskih disertacija na srpskom i engleskom jeziku Visoko-kvalitetan skup kratkih prevoda Ukupno 10.492 paralelnih jedinica. Velika većina sadrži i paralelizovane naslove.	Parallel Serbian-English corpus of doctoral dissertation abstracts High-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])

Editor

Nikola Janković

@Nikola-92

Citation:

@article{skoric24korpusi,
  author    = {\vSkori\'c, Mihailo and Jankovi\'c, Nikola},
  title     = {New Textual Corpora for Serbian Language Modeling},
  journal   = {Infotheca - Journal for Digital Humanities},
  volume    = {24},
  issue     = {1},
  year      = {2024},
  pages     = {71--96},
  doi       = {10.18485/2024.24.1.4},
  publisher = {Zajednica biblioteka univerziteta u Srbiji, Beograd},
  url = {https://infoteka.bg.ac.rs/ojs/index.php/Infoteka/article/view/2024.24.1.4_en}
}

ISLRN: 876-353-338-785-0

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.