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--- |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- found |
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language: |
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- id |
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license: cc |
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multilinguality: |
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- monolingual |
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source_datasets: |
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- original |
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task_categories: |
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- text-generation |
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task_ids: |
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- language-modeling |
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paperswithcode_id: oscar |
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--- |
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KoPI (Korpus Perayapan Indonesia) is Indonesian general corpora for sequence language modelling |
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Subset of KoPI corpora: |
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KoPI-CC + KoPI-CC-NEWS + KoPI-Mc4 + KoPI-Wiki + KoPI-Leipzig + KoPI-Paper + KoPI-Books |
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Prerequisite |
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- Zstandard |
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- you need to install zstandard first ( `pip install zstandard` ) |
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Usage |
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``` |
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from datasets import load_dataset |
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tiny = load_dataset('acul3/KoPI','tiny') #10 files load only |
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#small = load_dataset('acul3/KoPI','small') #30 files load only |
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#medium = load_dataset('acul3/KoPI','medium') #55 files load only |
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#large = load_dataset('acul3/KoPI','large') #75 files load only |
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#full = load_dataset('acul3/KoPI','full') #107 files load only (all files) |
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``` |
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output dataset will be like |
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|
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``` |
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DatasetDict({ |
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train: Dataset({ |
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features: ['text', 'url', 'timestamp', 'meta'], |
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num_rows: 2000000 |
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}) |
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validation: Dataset({ |
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features: ['text', 'url', 'timestamp', 'meta'], |
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num_rows: 200000 |
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}) |
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}) |
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``` |
