---
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.

# 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"
)
```

# **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 (MiB rounded) |
| :---: | :---: | :---: | :--- | ---: | ---: |
| ace | Acehnese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Acehnese_language) | 12904 | 4.64 |
| ban | Balinese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Balinese_language) | 19837 | 16.56 |
| bjn | Banjarese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Banjarese_language) |  10437 | 6.35 |
| bug | Buginese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Buginese_language) | 9793 | 1.98 |
| gor | Gorontalo | idn | [Wiki Link](https://en.wikipedia.org/wiki/Gorontalo_language) | 14514 | 5.71 |
| km | Khmer | khm | [Wiki Link](https://en.wikipedia.org/wiki/Khmer_language) | 11994 | 98.37 |
| id | Indonesian | idn | [Wiki Link](https://en.wikipedia.org/wiki/Indonesian_language) | 654287 | 1049.93 |
| jv | Javanese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Javanese_language) | 72667 | 66.54 |
| lo | Lao | lao | [Wiki Link](https://en.wikipedia.org/wiki/Lao_language) | 5014 | 14.53 |
| mad | Madurese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Madurese_language) | 1192 | 1.54 |
| map_bms | Banyumasan <br />(Dialect of Javanese) | idn | [Wiki Link](https://en.wikipedia.org/wiki/Banyumasan_dialect) | 11832 | 4.83 |
| mnw | Mon | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Mon_language) | 3296 | 45.13 |
| min | Minangkabau | idn | [Wiki Link](https://en.wikipedia.org/wiki/Minangkabau_language) | 225858 | 110.99 |
| ms | Malay | mys, sgp, brn, idn | [Wiki Link](https://en.wikipedia.org/wiki/Malay_language) | 346186 | 391.43 |
| my | Burmese | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Burmese_language) | 109310 | 298.85 |
| nia | Nias | idn | [Wiki Link](https://en.wikipedia.org/wiki/Nias_language) | 1650 | 1.85 |
| shn | Shan | mmr | [Wiki Link](https://en.wikipedia.org/wiki/Shan_language) | 13945 | 32.19 |
| su | Sundanese | idn | [Wiki Link](https://en.wikipedia.org/wiki/Sundanese_language) | 61494 | 45.21 |
| tet | Tetum | tls, idn | [Wiki Link](https://en.wikipedia.org/wiki/Tetum_language) | 1465 | 1.39 |
| th | Thai | tha | [Wiki Link](https://en.wikipedia.org/wiki/Thai_language) | 159719 | 966.00 |
| vi | Vietnamese | vnm | [Wiki Link](https://en.wikipedia.org/wiki/Vietnamese_language) | 1288680 | 1528.79 |


#### 3. Table of Token Statistics for Covered Languages
The token statistics is generated using ```tiktoken``` using encoder for GPT-4.

| Lang Code | Total Token | Avg Token per Article | Min Token | Max Token | Token Deciles List |
| :---: | ---: | ---: | ---: | ---: | :--- |
| ace | 1,370,829 | 105.61899992295247 | 3 | 9,659 | [38.0, 52.0, 54.0, 69.0, 76.0, 84.0, 90.0, 123.0, 126.0] |
| ban | 5,924,610 | 287.44893503469024 | 5 | 24,364 | [97.0, 144.0, 165.0, 187.0, 209.0, 245.0, 276.0, 315.0, 421.0] |
| bjn | 1,935,505 | 184.28115776444827 | 2 | 30,170 | [36.0, 38.0, 39.0, 40.0, 42.0, 51.0, 82.0, 151.0, 367.0] |
| bug | 553,693 | 55.54147858360919 | 1 | 13,951 | [31.0, 42.0, 43.0, 46.0, 48.0, 50.0, 52.0, 55.0, 57.0] |
| gor | 1,575,766 | 103.05860039241334 | 2 | 5,525 | [55.0, 58.0, 60.0, 62.0, 64.0, 66.0, 69.0, 75.0, 96.0] |
| id | 325,411,713 | 491.22975561670967 | 1 | 198,597 | [54.0, 93.0, 123.0, 145.0, 180.0, 226.0, 332.0, 543.0, 1068.0] |
| jv | 23,528,314 | 321.95284619594963 | 2 | 342,156 | [48.0, 60.0, 75.0, 88.0, 117.0, 175.0, 270.0, 420.0, 772.0] |
| km | 54,559,721 | 4,758.391854177568 | 1 | 1,110,771 | [160.0, 293.0, 452.0, 693.0, 1032.0, 1609.0, 2644.0, 4745.0, 9607.0] |
| lo | 9,395,636 | 1,918.6514192362672 | 3 | 107,154 | [134.0, 184.2, 285.0, 494.0, 658.0, 894.6, 1258.0, 1971.2, 4153.8] |
| mad | 611,736 | 513.2013422818792 | 14 | 17,093 | [80.1, 110.2, 135.0, 161.0, 194.0, 242.0, 302.7, 531.4, 1167.1] |
| map_bms | 1,307,244 | 110.41844750401216 | 1 | 20,629 | [20.0, 21.0, 22.0, 24.0, 30.0, 35.0, 36.0, 38.0, 111.0] |
| min | 33,114,184 | 146.54109358681606 | 3 | 58,387 | [81.0, 91.0, 96.0, 108.0, 119.0, 135.0, 156.0, 168.0, 170.0] |
| mnw | 31,595,647 | 9,659.3234484867 | 6 | 1,450,765 | [425.0, 601.0, 629.0, 682.0, 763.0, 2103.0, 4255.0, 7724.0, 14517.0] |
| ms | 121,343,673 | 348.64363228892813 | 1 | 68,545 | [32.0, 40.0, 49.0, 63.0, 105.0, 138.0, 216.0, 362.0, 788.0] |
| my | 189,439,447 | 1,740.8673761015998 | 10 | 1,376,658 | [164.0, 269.0, 350.0, 508.0, 559.0, 578.0, 605.0, 892.4, 3369.0] |
| nia | 795,527 | 464.134772462077 | 8 | 18,650 | [59.0, 61.0, 63.0, 65.0, 67.0, 86.0, 239.1, 623.4, 1249.7] |
| shn | 23,125,637 | 1,692.6977748499487 | 2 | 204,094 | [460.0, 480.0, 585.0, 679.0, 715.0, 740.0, 756.0, 780.0, 1580.9] |
| su | 14,710,124 | 239.07627297697022 | 1 | 99,456 | [41.0, 43.0, 45.0, 49.0, 70.0, 146.0, 216.0, 219.0, 419.0] |
| tet | 487,016 | 332.6612021857924 | 4 | 24,287 | [30.3, 47.0, 66.9, 101.0, 164.0, 177.0, 187.0, 248.6, 604.4] |
| th | 330,964,733 | 2,072.8566695476807 | 1 | 289,150 | [231.0, 390.0, 546.0, 727.0, 969.0, 1276.0, 1741.0, 2533.0, 4361.0] |
| vi | 546,481,258 | 424.3163404275143 | 3 | 246,463 | [46.0, 64.0, 71.0, 80.0, 86.0, 92.0, 120.0, 240.0, 824.0] |

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 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 unavailable 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/UTF-8 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.

### 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. 

### 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. Please note that this dataset is extensible to any languages of your choice.

### 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)

4. Run this ```sh``` script for extractions from Wikiedia HF using ```sh extract_raw_wiki_data_sea.sh```  
This script will run [_```extract_raw_wiki_data.py```_](https://huggingface.co/datasets/sabilmakbar/sea_wiki/blob/main/extract_raw_wiki_data.py) to construct the Wiki Dataset.

5.  Run this ```sh``` script for deduplications from extracted data in Step 4 using ```sh dedup_raw_wiki_data_sea.sh```  
This script will run [_```dedup_raw_wiki_data.py```_](https://huggingface.co/datasets/sabilmakbar/sea_wiki/blob/main/dedup_raw_wiki_data.py) to do Wiki Dataset Clenasing. Please note that the cleansing process can be language/dialect specific.

## 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"}
```