README.md

metadata

language:
  - sr
  - hr
  - sl
  - bs
pretty_name: ZNANJE
size_categories:
  - 1B<n<10B
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - '*_sr.jsonl'
          - '*_hr.jsonl'
          - '*_cnr.jsonl'
          - '*_bs.jsonl'
      - split: sr
        path: '*_sr.jsonl'
      - split: hr
        path: '*_hr.jsonl'
      - split: si
        path: '*_si.jsonl'
      - split: bs
        path: '*_bs.jsonl'
      - split: sve
        path:
          - '*_sr.jsonl'
          - '*_hr.jsonl'
          - '*_cnr.jsonl'
          - '*_bs.jsonl'
          - '*_si.jsonl'
task_categories:
  - text-generation
license: cc-by-sa-4.0

Skup naučnih publikacija na Južnoslovenskim jezicima Visoko-kvalitetan skup raznovrsnih naučnih publikacija Neophodan za obučavanje kvalitetnih jezičkih modela za južnoslovenske jezike. Ukupno 280,460 dokumenata, ukupno sa preko 4.2 milijarde reči. Svaka JSON linija predstavlja jednu publikaciju. Unutar svakog dokumenta su obeležene rečenice i paragrafi.	Set of South Slavic Scientific Research publications Highly curated, High-qualityand diverse scientific publications. Necessary for training quality language models for South Slavic languages. A total of 280,460 documents containing over 4.2 billion words. Each JSON line represents one publication. All documents are paragraph and sentence-delimited.
Број докумената Doc. count Број реченица Sent. count Број речи Word count Удео Share Korpus S.T.A.R.S. 🇷🇸 23,340 27,760,829 704,000,000 16.7% DABAR 🇭🇷 108,786 53,369,657 1,214,000,000 28.8% Open Science Slovenia 🇸🇮 🇷🇸 🇭🇷 🇧🇦 148,334 105,099,752 2,296,000,000 54.5% Укупно Total 280,460 186,230,238 4,214,000,000 100%

from datasets import load_dataset
dataset = load_dataset("procesaur/ZNANJE")

Editor

Mihailo Škorić

@procesaur

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}
}

Istraživanje je sprovedeno uz podršku Fonda za nauku Republike Srbije, #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.