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Indonesian Wikipedia Data Repository


license: cc-by-sa-3.0

Welcome to Indonesian Wikipedia Data Repository. The datasets are extracted from Wikipedia HF and processed using the scripts available in this repository for reproducibility purpose.

FAQS

What are the available languages provided in dataset?

Please check the following table.

Lang Code Lang Desc Wiki Info Total Data Total Size (bytes)
ace Acehnese Wiki Link 12904 4867838
ban Balinese Wiki Link 19837 17366080
bjn Acehnese Wiki Link 10437 6655378
bug Buginese Wiki Link 9793 2072609
gor Gorontalo Wiki Link 14514 5989252
id Indonesian Wiki Link 654287 1100932403
jv Javanese Wiki Link 72667 69774853
map_bms Banyumasan
(Dialect of Javanese)
Wiki Link 11832 5060989
min Minangkabau Wiki Link 225858 116376870
ms Malay Wiki Link 346186 410443550
nia Nias Wiki Link 1650 1938121
su Sundanese Wiki Link 61494 47410439
tet Tetum Wiki Link 1465 1452716

How do I extract new Wikipedia Dataset of Indonesian languages?

You may check to the script extract_raw_wiki_data.py to understand its implementations, or you can adjust the bash provided in extract_raw_wiki_data_indo.sh to extract it on your own. Please note that this dataset is extensible to any languages of your choice.

How do I extract new Wikipedia Dataset of Indonesian languages?

You may visit this Wikipedia Dump Index to check any latest available data and this link Wikipedia Language Coverage to map into any languages that you're wanting to extract.

How does the data being preprocessed? What makes it different from loading it directly from Wikipedia HF?

The data available in here are processed with following flows:

  1. Raw data is being deduplicated on title and text (text-content from a given article), to remove articles containing boilerplate text (template text that are used usually for no-available informations or asking for contributions of content in that article), which usually deemed noisy for NLP data.
  2. Furthermore, the title and text data are being checked for string-matching duplication (duplication of text that are being pre-processed, i.e symbols removed, HTML tags striped, or ASCII-chars validated). You may check this cleanse_wiki_data.py script to understand its implementation.

Getting Started

To read the datasets directly

Use one of the following code chunks to load it from HuggingFace Hub: You can refer to the 2nd args of config name using the following script

dataset = load_dataset(
  "sabilmakbar/indo_wiki",
  "indo_wiki_dedup_data" # a config name, can be "indo_wiki_raw_data" or "indowiki_dedup_id_only", defaults to "indo_wiki_dedup_data"
)

Or you can provide both lang and date_stamp (providing only one will thrown an error)

dataset = load_dataset(
  "sabilmakbar/indo_wiki",
  lang = "id", # see the splits for complete lang choices
  date_stamp="20230901"
)

To replicate the whole dataset generation process

  1. Set-up a new Python/Conda Environment (recommended Python version: 3.9.6 to 3.9.18 or 3.10.0 to 3.10.13) and install the requirements on requirements.txt use this codebase via pip install -r requirements.txt.
  2. Activate the chosen Python/Conda environment which the requirements are being installed.
  3. Run this sh script for extractions from Wikimedia Dump: sh extract_raw_wiki_data_indo.sh.
  4. Run this sh script of deduplication: sh dedup_raw_wiki_data_indo.sh.

Citation Info:

@ONLINE{wikidump,
    author = "Wikimedia Foundation",
    title  = "Wikimedia Downloads",
    url    = "https://dumps.wikimedia.org"}
@ONLINE{wikipedia-hf,
    title  = "Huggingface Wikipedia Dataset",
    url    = "https://huggingface.co/datasets/wikipedia"}
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