|
--- |
|
annotations_creators: |
|
- no-annotation |
|
language_creators: |
|
- crowdsourced |
|
language: |
|
- ace |
|
- ban |
|
- bjn |
|
- bug |
|
- gor |
|
- km |
|
- id |
|
- jv |
|
- lo |
|
- mad |
|
- mnw |
|
- min |
|
- ms |
|
- my |
|
- nia |
|
- shn |
|
- su |
|
- tet |
|
- th |
|
- vi |
|
license: |
|
- cc-by-sa-3.0 |
|
- gfdl |
|
multilinguality: |
|
- multilingual |
|
source_datasets: |
|
- Wikipedia-HF |
|
task_categories: |
|
- text-generation |
|
- fill-mask |
|
task_ids: |
|
- language-modeling |
|
- masked-language-modeling |
|
pretty_name: Wikipedia Archive for SEA Languages |
|
tags: |
|
- Wikipedia |
|
- Southeast Asia (SEA) |
|
- Dialect |
|
- Banyumasan Dialect of Javanese (Ngapak) |
|
- SEA-related Languages |
|
- SEA Local Languages |
|
dataset_info: |
|
- config_name: seawiki_all |
|
features: |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: ace |
|
num_bytes: 4952102 |
|
num_examples: 13003 |
|
- name: ban |
|
num_bytes: 18198909 |
|
num_examples: 20987 |
|
- name: bjn |
|
num_bytes: 6792259 |
|
num_examples: 10519 |
|
- name: bug |
|
num_bytes: 3298561 |
|
num_examples: 15880 |
|
- name: gor |
|
num_bytes: 6239133 |
|
num_examples: 15359 |
|
- name: id |
|
num_bytes: 1118834498 |
|
num_examples: 665622 |
|
- name: jv |
|
num_bytes: 72101470 |
|
num_examples: 73380 |
|
- name: km |
|
num_bytes: 103146669 |
|
num_examples: 11994 |
|
- name: lo |
|
num_bytes: 15240262 |
|
num_examples: 5014 |
|
- name: mad |
|
num_bytes: 1612542 |
|
num_examples: 1192 |
|
- name: map_bms |
|
num_bytes: 5221506 |
|
num_examples: 13580 |
|
- name: min |
|
num_bytes: 116824020 |
|
num_examples: 227143 |
|
- name: mnw |
|
num_bytes: 47321734 |
|
num_examples: 3296 |
|
- name: ms |
|
num_bytes: 419662356 |
|
num_examples: 368628 |
|
- name: my |
|
num_bytes: 313370839 |
|
num_examples: 109310 |
|
- name: nia |
|
num_bytes: 2153274 |
|
num_examples: 1714 |
|
- name: shn |
|
num_bytes: 33754296 |
|
num_examples: 13945 |
|
- name: su |
|
num_bytes: 47516268 |
|
num_examples: 61555 |
|
- name: tet |
|
num_bytes: 1454499 |
|
num_examples: 1468 |
|
- name: th |
|
num_bytes: 1012930269 |
|
num_examples: 159719 |
|
- name: vi |
|
num_bytes: 1603057632 |
|
num_examples: 1288680 |
|
download_size: 4959860254 |
|
dataset_size: 4953683098 |
|
- config_name: seawiki_dedup_all |
|
features: |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: ace |
|
num_bytes: 4944916 |
|
num_examples: 12979 |
|
- name: ban |
|
num_bytes: 18025267 |
|
num_examples: 20611 |
|
- name: bjn |
|
num_bytes: 6786207 |
|
num_examples: 10503 |
|
- name: bug |
|
num_bytes: 2182435 |
|
num_examples: 9969 |
|
- name: gor |
|
num_bytes: 6217480 |
|
num_examples: 15290 |
|
- name: id |
|
num_bytes: 1117891512 |
|
num_examples: 662443 |
|
- name: jv |
|
num_bytes: 71997517 |
|
num_examples: 73080 |
|
- name: km |
|
num_bytes: 102698901 |
|
num_examples: 11466 |
|
- name: lo |
|
num_bytes: 14908444 |
|
num_examples: 4897 |
|
- name: mad |
|
num_bytes: 1612542 |
|
num_examples: 1192 |
|
- name: map_bms |
|
num_bytes: 5067489 |
|
num_examples: 11839 |
|
- name: min |
|
num_bytes: 116721269 |
|
num_examples: 225972 |
|
- name: mnw |
|
num_bytes: 47243333 |
|
num_examples: 3271 |
|
- name: ms |
|
num_bytes: 414783365 |
|
num_examples: 348045 |
|
- name: my |
|
num_bytes: 312990457 |
|
num_examples: 108819 |
|
- name: nia |
|
num_bytes: 2153274 |
|
num_examples: 1714 |
|
- name: shn |
|
num_bytes: 33616591 |
|
num_examples: 13662 |
|
- name: su |
|
num_bytes: 47512744 |
|
num_examples: 61529 |
|
- name: tet |
|
num_bytes: 1452151 |
|
num_examples: 1464 |
|
- name: th |
|
num_bytes: 1012868861 |
|
num_examples: 159666 |
|
- name: vi |
|
num_bytes: 1602828123 |
|
num_examples: 1287910 |
|
download_size: 4950689052 |
|
dataset_size: 4944502878 |
|
- config_name: seawiki_with_countries_all |
|
features: |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: idn_ace |
|
num_bytes: 4952102 |
|
num_examples: 13003 |
|
- name: idn_ban |
|
num_bytes: 18198909 |
|
num_examples: 20987 |
|
- name: idn_bjn |
|
num_bytes: 6792259 |
|
num_examples: 10519 |
|
- name: idn_bug |
|
num_bytes: 3298561 |
|
num_examples: 15880 |
|
- name: idn_gor |
|
num_bytes: 6239133 |
|
num_examples: 15359 |
|
- name: idn_id |
|
num_bytes: 1118834498 |
|
num_examples: 665622 |
|
- name: idn_jv |
|
num_bytes: 72101470 |
|
num_examples: 73380 |
|
- name: idn_mad |
|
num_bytes: 1612542 |
|
num_examples: 1192 |
|
- name: idn_map_bms |
|
num_bytes: 5221506 |
|
num_examples: 13580 |
|
- name: idn_min |
|
num_bytes: 116824020 |
|
num_examples: 227143 |
|
- name: idn_ms |
|
num_bytes: 419662356 |
|
num_examples: 368628 |
|
- name: idn_nia |
|
num_bytes: 2153274 |
|
num_examples: 1714 |
|
- name: idn_su |
|
num_bytes: 47516268 |
|
num_examples: 61555 |
|
- name: idn_tet |
|
num_bytes: 1454499 |
|
num_examples: 1468 |
|
- name: sgp_ms |
|
num_bytes: 419662356 |
|
num_examples: 368628 |
|
- name: mys_ms |
|
num_bytes: 419662356 |
|
num_examples: 368628 |
|
- name: brn_ms |
|
num_bytes: 419662356 |
|
num_examples: 368628 |
|
- name: tha_th |
|
num_bytes: 1012930269 |
|
num_examples: 159719 |
|
- name: mmr_my |
|
num_bytes: 313370839 |
|
num_examples: 109310 |
|
- name: mmr_shn |
|
num_bytes: 33754296 |
|
num_examples: 13945 |
|
- name: mmr_mnw |
|
num_bytes: 47321734 |
|
num_examples: 3296 |
|
- name: lao_lo |
|
num_bytes: 15240262 |
|
num_examples: 5014 |
|
- name: vnm_vi |
|
num_bytes: 1603057632 |
|
num_examples: 1288680 |
|
- name: khm_km |
|
num_bytes: 103146669 |
|
num_examples: 11994 |
|
- name: tls_tet |
|
num_bytes: 1454499 |
|
num_examples: 1468 |
|
download_size: 4959860254 |
|
dataset_size: 6214124665 |
|
- config_name: seawiki_with_countries_dedup_all |
|
features: |
|
- name: url |
|
dtype: string |
|
- name: title |
|
dtype: string |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: idn_ace |
|
num_bytes: 4944916 |
|
num_examples: 12979 |
|
- name: idn_ban |
|
num_bytes: 18025267 |
|
num_examples: 20611 |
|
- name: idn_bjn |
|
num_bytes: 6786207 |
|
num_examples: 10503 |
|
- name: idn_bug |
|
num_bytes: 2182435 |
|
num_examples: 9969 |
|
- name: idn_gor |
|
num_bytes: 6217480 |
|
num_examples: 15290 |
|
- name: idn_id |
|
num_bytes: 1117891512 |
|
num_examples: 662443 |
|
- name: idn_jv |
|
num_bytes: 71997517 |
|
num_examples: 73080 |
|
- name: idn_mad |
|
num_bytes: 1612542 |
|
num_examples: 1192 |
|
- name: idn_map_bms |
|
num_bytes: 5067489 |
|
num_examples: 11839 |
|
- name: idn_min |
|
num_bytes: 116721269 |
|
num_examples: 225972 |
|
- name: idn_ms |
|
num_bytes: 414783365 |
|
num_examples: 348045 |
|
- name: idn_nia |
|
num_bytes: 2153274 |
|
num_examples: 1714 |
|
- name: idn_su |
|
num_bytes: 47512744 |
|
num_examples: 61529 |
|
- name: idn_tet |
|
num_bytes: 1452151 |
|
num_examples: 1464 |
|
- name: sgp_ms |
|
num_bytes: 414783365 |
|
num_examples: 348045 |
|
- name: mys_ms |
|
num_bytes: 414783365 |
|
num_examples: 348045 |
|
- name: brn_ms |
|
num_bytes: 414783365 |
|
num_examples: 348045 |
|
- name: tha_th |
|
num_bytes: 1012868861 |
|
num_examples: 159666 |
|
- name: mmr_my |
|
num_bytes: 312990457 |
|
num_examples: 108819 |
|
- name: mmr_shn |
|
num_bytes: 33616591 |
|
num_examples: 13662 |
|
- name: mmr_mnw |
|
num_bytes: 47243333 |
|
num_examples: 3271 |
|
- name: lao_lo |
|
num_bytes: 14908444 |
|
num_examples: 4897 |
|
- name: vnm_vi |
|
num_bytes: 1602828123 |
|
num_examples: 1287910 |
|
- name: khm_km |
|
num_bytes: 102698901 |
|
num_examples: 11466 |
|
- name: tls_tet |
|
num_bytes: 1452151 |
|
num_examples: 1464 |
|
download_size: 4950689052 |
|
dataset_size: 6190305124 |
|
--- |
|
|
|
# **SEA Wikipedia Data Repository** |
|
--- |
|
license: cc-by-sa-3.0 |
|
--- |
|
Welcome to SEA Wikipedia Data Repository. The datasets are extracted from [Wikipedia HF](https://huggingface.co/datasets/wikipedia) and processed using the scripts available in this repository for reproducibility purpose. |
|
|
|
# **FAQS** |
|
### What are the available languages provided in dataset and from which country? |
|
You may check the following tables to understand the current coverage of this dataset (languages, countries, data size & volume). |
|
|
|
#### 1. Table of Countries and its Country Code |
|
| Country Code | Country Name | Wiki Info | |
|
| :---: | :---: | :---: | |
|
| brn | Brunei | [Wiki Link](https://en.wikipedia.org/wiki/Brunei) | |
|
| idn | Indonesia | [Wiki Link](https://en.wikipedia.org/wiki/Indonesia) | |
|
| khm | Cambodia | [Wiki Link](https://en.wikipedia.org/wiki/Cambodia) | |
|
| lao | Laos | [Wiki Link](https://en.wikipedia.org/wiki/Laos) | |
|
| mmr | Myanmar | [Wiki Link](https://en.wikipedia.org/wiki/Myanmar) | |
|
| mys | Malaysia | [Wiki Link](https://en.wikipedia.org/wiki/Malaysia) | |
|
| sgp | Singapore | [Wiki Link](https://en.wikipedia.org/wiki/Singapore) | |
|
| tha | Thailand | [Wiki Link](https://en.wikipedia.org/wiki/Thailand) | |
|
| tls | East Timor | [Wiki Link](https://en.wikipedia.org/wiki/East_Timor) | |
|
| vnm | Vietnam | [Wiki Link](https://en.wikipedia.org/wiki/Vietnam) | |
|
|
|
#### 2. Table of Languages and Countries of its speakers |
|
| Lang Code | Lang Name | Country Codes Spoken | Wiki Info | Total Data | Total Size (bytes) | |
|
:---: | :---: | :---: | :--- | ---: | ---: | |
|
| ace | Acehnese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Acehnese_language) | 12904 | 4867838 | |
|
| ban | Balinese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Balinese_language) | 19837 | 17366080 | |
|
| bjn | Banjarese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Banjarese_language) | 10437 | 6655378 | |
|
| bug | Buginese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Buginese_language) | 9793 | 2072609 | |
|
| gor | Gorontalo | idn | [Wiki Link](https://en.wikipedia.org/wiki/Gorontalo_language) | 14514 | 5989252 | |
|
| km | Khmer | khm | [Wiki Link](https://en.wikipedia.org/wiki/Khmer_language) | 11994 | 103146669 | |
|
| id | Indonesian | idn | [Wiki Link](https://en.wikipedia.org/wiki/Indonesian_language) | 654287 | 1100932403 | |
|
| jv | Javanese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Javanese_language) | 72667 | 69774853 | |
|
| lo | Lao | lao | [Wiki Link](https://en.wikipedia.org/wiki/Lao_language) | 5014 | 15240262 | |
|
| mad | Madurese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Madurese_language) | 1192 | 1612542 | |
|
| map_bms | Banyumasan <br />(Dialect of Javanese) | idn | [Wiki Link](https://en.wikipedia.org/wiki/Banyumasan_dialect) | 11832 | 5060989 | |
|
| mnw | Mon | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Mon_language) | 3296 | 47321734 | |
|
| min | Minangkabau | idn | [Wiki Link](https://en.wikipedia.org/wiki/Minangkabau_language) | 225858 | 116376870 | |
|
| ms | Malay | mys, sgp, brn, idn | [Wiki Link](https://en.wikipedia.org/wiki/Malay_language) | 346186 | 410443550 | |
|
| my | Burmese | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Burmese_language) | 109310 | 313370839 | |
|
| nia | Nias | idn | [Wiki Link](https://en.wikipedia.org/wiki/Nias_language) | 1650 | 1938121 | |
|
| shn | Shan | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Shan_language) | 13945 | 33754296 | |
|
| su | Sundanese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Sundanese_language) | 61494 | 47410439 | |
|
| tet | Tetum | tls, idn | [Wiki Link](https://en.wikipedia.org/wiki/Tetum_language) | 1465 | 1452716 | |
|
| th | Thai | tha | [Wiki Link](https://en.wikipedia.org/wiki/Thai_language) | 159719 | 1012930269 | |
|
| vi | Vietnamese | vnm | [Wiki Link](https://en.wikipedia.org/wiki/Tetum_language) | 1288680 | 1603057632 | |
|
|
|
|
|
Some other languages in SEA that are already exists its Wiki Index at Wikimedia might be missing from this list. Any lang update PR is greatly appreciated! |
|
|
|
### How do I extract new Wikipedia Dataset of SEA languages? |
|
You may check to the script [_```extract_raw_wiki_data.py```_](https://huggingface.co/datasets/sabilmakbar/sea_wiki/blob/main/extract_raw_wiki_data.py) to understand its implementations, or you can adjust the bash provided in [_```extract_raw_wiki_data_sea.sh```_](https://huggingface.co/datasets/sabilmakbar/sea_wiki/blob/main/extract_raw_wiki_data_sea.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 SEA languages? |
|
You may visit this [Wikipedia Dump Index](https://dumps.wikimedia.org/backup-index.html) to check any latest available data and this link [Wikipedia Language Coverage](https://meta.wikimedia.org/wiki/List_of_Wikipedias#All_Wikipedias_ordered_by_number_of_articles) 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 [ ```dedup_raw_wiki_data.py```](https://huggingface.co/datasets/sabilmakbar/sea_wiki/blob/main/dedup_raw_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/sea_wiki", |
|
"seawiki_dedup_all" # a config name, can be "seawiki_dedup_all" or "seawiki_with_countries_all", or "seawiki_with_countries_dedup_all" , defaults to "seawiki_dedup_all" |
|
) |
|
``` |
|
Or you can provide both ```lang``` and ```date_stamp``` (or just lang only by assuming the ```date_stamp``` will take the newest one) |
|
``` |
|
dataset = load_dataset( |
|
"sabilmakbar/sea_wiki", |
|
lang = "id", # see README for complete lang choices |
|
date_stamp="20230901" |
|
) |
|
``` |
|
Or you can provide a ```country``` params with similar fashion to ```lang``` args(providing both ```country``` and ```lang``` will prioritize the ```lang``` kwarg) |
|
``` |
|
dataset = load_dataset( |
|
"sabilmakbar/sea_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. Force install ```multiprocess==0.70.15``` by using ```pip install multiprocess==0.70.15``` to avoid [this issue](https://github.com/huggingface/datasets/issues/5613#issuecomment-1703169594) (there's no other workaround for now, esp for Python 3.10.x) |
|
4. Run this ```sh``` script for extractions from Wikimedia Dump:<\b> |
|
```sh extract_raw_wiki_data_sea.sh```. |
|
5. Run this ```sh``` script of deduplication:<\b> |
|
```sh dedup_raw_wiki_data_sea.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"} |
|
``` |
|
|
