README.md

metadata

annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - id
license: cc
multilinguality:
  - monolingual
source_datasets:
  - original
task_categories:
  - text-generation
task_ids:
  - language-modeling
paperswithcode_id: oscar

KoPI (Korpus Perayapan Indonesia) is Indonesian general corpora for sequence language modelling

Subset of KoPI corpora: KoPI-CC + KoPI-CC-NEWS + KoPI-Mc4 + KoPI-Wiki + KoPI-Leipzig + KoPI-Paper + KoPI-Books

Prerequisite

• Zstandard
  • you need to install zstandard first ( pip install zstandard )

Usage

from datasets import load_dataset

tiny = load_dataset('acul3/KoPI','tiny') #10 files load only
#small = load_dataset('acul3/KoPI','small') #30 files load only
#medium = load_dataset('acul3/KoPI','medium') #55 files load only
#large = load_dataset('acul3/KoPI','large') #75 files load only
#full = load_dataset('acul3/KoPI','full') #107 files load only (all files)

output dataset will be like

DatasetDict({
    train: Dataset({
        features: ['text', 'url', 'timestamp', 'meta'],
        num_rows: 2000000
    })
    validation: Dataset({
        features: ['text', 'url', 'timestamp', 'meta'],
        num_rows: 200000
    })
})