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---
annotations_creators:
- no-annotation
language_creators:
- crowdsourced
language:
- ace
- ban
- bjn
- bug
- gor
- id
- jv
- mis
- min
- ms
- nia
- su
- tet
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
- 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"}
```