Init Commit

.gitattributes

@@ -53,3 +53,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+# Wiki data files CSV
+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,471 @@
 ---
+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"}
+```

dedup_raw_wiki_data.py

@@ -0,0 +1,414 @@
+# %%
+'''
+Script on Cleansing Wikipedia Data that has been extracted from extract_raw_wiki_data.py
+'''
+#core functionality modules
+import os, gc
+import logging
+import argparse
+import warnings
+
+from functools import partial
+
+#text preprocess modules
+import re
+import urllib
+from xml.etree import ElementTree as ET
+
+#dataset related modules
+import numpy as np
+import pandas as pd
+
+
+### MODULES DEFINITION ###
+#create custom type-checking of incoming ArgParse
+def argparse_bool_check(value: str):
+    #cast str with value like float into actual float
+    try:
+        value = float(value)
+    #can't be parsed as float, keep as it is
+    except ValueError:
+        pass
+
+    #cast float-like value (incl int) into str
+    if isinstance(value, float) and int(value) == value:
+        value = str(int(value))
+    #raise ArgumentTypeError if the value isn't in string already
+    else:
+        if not isinstance(value, str):
+            raise argparse.ArgumentTypeError(f"Not the correct value (args: {value})! Expected is cast-able to '1' or '0' or already in string. Please rectify!")
+    #check for these combinations of values
+    if value.lower() in ("yes", "true", "t", "y", "1"):
+        return True
+    elif value.lower() in ("no", "false", "f", "n", "0"):
+        return False
+    else:
+        raise argparse.ArgumentTypeError(f"Value Error! Not the correct value (args: {value})! Please rectify!")
+
+
+def text_processing_args_checker(value: str):
+    if value not in ["all", "text", "title", "neither"]:
+        raise argparse.ArgumentTypeError(f"Value Error! Not the correct value (args: {value})! Please rectify!")
+    else:
+        return value
+
+
+def set_logger():
+    # Set up the logger
+    logging.basicConfig(
+        level=logging.INFO,  # Set the desired logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+        format='%(asctime)s [%(levelname)s]: %(message)s',  # Customize the log message format
+        datefmt='%Y-%m-%d %H:%M:%S'  # Customize the date/time format
+    )
+
+    # Create a file handler to write logs into a file
+    file_handler = logging.FileHandler('app.log')
+
+    # Set the log level for the file handler
+    file_handler.setLevel(logging.INFO) 
+
+    # Create a formatter for the file handler (customize the log format for the file)
+    file_formatter = logging.Formatter('%(asctime)s [%(levelname)s]: %(message)s', datefmt='%Y-%m-%d %H:%M:%S')
+    file_handler.setFormatter(file_formatter)
+
+    logger = logging.getLogger("Wiki Dataset Generation")
+    logger.addHandler(file_handler)
+
+    return logger
+
+
+#wrapper fn of text-cleansing
+def text_cleansing_wrapper(fn, exception_class_names = []):
+
+    #ensure caught exception class names passed to decorator is a list (if provided)
+    if not isinstance(exception_class_names, list):
+        raise TypeError("Exception Class Name for Wrapper is not a list!")
+    #ensure all values of caught exception class name list is a string
+    if not all([isinstance(val, str) for val in exception_class_names]):
+        raise ValueError("Found an element of Exception Class Name for Wrapper that is not a string!")
+
+    #lowercase all exception class name
+    exception_class_names = [val.lower() for val in exception_class_names]
+    if len(exception_class_names) == 0:
+        warnings.warn("The wrapper receives 0 `exception_class_names` to be warned! Will return the function value with its input!")
+
+    def text_fn_wrapper(text: str, *args, **kwargs):
+        try:
+            return fn(text, *args, **kwargs)
+        except Exception as e:
+            _exc_name = type(e).__name__
+            if _exc_name.lower() not in exception_class_names and len(exception_class_names)>0:
+                raise Exception(f"Exception Occured of {_exc_name} in {fn.__name__}!") from e
+            else:
+                _followup_msg = "Returning the input as it is..."
+                _text_warn = f"An exception of {_exc_name} occured in {fn.__name__}! {_followup_msg}"
+                warnings.warn(_text_warn)
+                return text
+
+    return text_fn_wrapper
+
+
+#create html tags cleanser of a given text
+partial_decorator = partial(text_cleansing_wrapper, exception_class_names=["parseerror"])
+@partial_decorator
+def remove_html_tags(text: str):
+    #extracted from "https://stackoverflow.com/a/9662410", w/ additional decorator of error handler
+    return (''.join(ET.fromstring(text).itertext())).strip()
+
+
+#create url decoder of text
+@text_cleansing_wrapper
+def decode_url(text: str):
+    # return (urllib.parse.unquote(text)).encode('utf8', errors='ignore').decode().strip()
+    return (urllib.parse.unquote(text)).strip()
+
+#create encoder check of text
+@text_cleansing_wrapper
+def check_text_by_encoder(text: str, encoder: str="utf8"):
+    return text.encode(encoder, errors='ignore').decode().strip()
+
+#create excessive whitespace removal of text
+@text_cleansing_wrapper
+def remove_excessive_whitespace(text: str):
+    return re.sub("(\s)(\s+)", r"\1", text).strip()
+
+#create non-alphanumeric removal of text
+@text_cleansing_wrapper
+def remove_non_alphanumeric(text: str):
+    return re.sub("[^a-z0-9\s]", "", text, flags=re.I).strip()
+
+# def cleanse_wiki_text(text: str):
+#     return remove_html_tags(decode_url_and_remove_non_ascii(text))
+
+# def normalize_wiki_title(text: str):
+#     return remove_non_alphanumeric(remove_excessive_whitespace(text.lower()))
+
+
+def _text_normalizer_constructor(
+        remove_non_alphanumeric_bool: bool, remove_excessive_whitespace_bool: bool,
+        remove_html_tags_bool: bool, decode_url_bool: bool, encoder_check_bool: bool,
+        encoder: str="utf8"):
+
+    _lambda_fn_1 = partial(check_text_by_encoder, encoder=encoder) if encoder_check_bool else lambda x: x
+    _lambda_fn_2 = lambda x: remove_non_alphanumeric(_lambda_fn_1(x)) if remove_non_alphanumeric_bool else _lambda_fn_1(x)
+    _lambda_fn_3 = lambda x: remove_excessive_whitespace(_lambda_fn_2(x)) if remove_excessive_whitespace_bool else _lambda_fn_2(x)
+    _lambda_fn_4 = lambda x: remove_html_tags(_lambda_fn_3(x)) if remove_html_tags_bool else _lambda_fn_3(x)
+    _lambda_fn_5 = lambda x: decode_url(_lambda_fn_4(x)) if decode_url_bool else _lambda_fn_4(x)
+
+    return _lambda_fn_5
+
+
+def _args_to_text_constructor_fn(**kwargs):
+
+    def _decode_options(opt: str):
+        # return decoded options with format `text_opt`, `title_opt`
+        # possible values are ["all", "text", "title", "neither"]
+        if opt == "all":
+            return True, True
+        elif opt == "text":
+            return True, False
+        elif opt == "title":
+            return False, True
+        else:
+            return False, False
+
+    kwargs_title, kwargs_text = {}, {}
+
+    kwargs_title["encoder"] = kwargs["text_encoder_choice_title"]
+    kwargs_text["encoder"] = kwargs["text_encoder_choice_text"]
+
+    for key, val in kwargs.items():
+        if key not in [
+            "remove_non_alphanumeric_option", "remove_excessive_whitespace_option",
+            "remove_html_tags_option", "decode_url_option", "encoder_check_option"]:
+            continue
+        new_key = "_".join(key.split("_")[:-1]) + "_bool"
+        text_opt_val, title_opt_val = _decode_options(val)
+        kwargs_text[new_key], kwargs_title[new_key] = text_opt_val, title_opt_val
+
+    return _text_normalizer_constructor(**kwargs_text), _text_normalizer_constructor(**kwargs_title)
+
+
+def _text_processing_wrapper(text: str, _fn, mode: str="text"):
+    if mode not in ["text", "title"]:
+        raise ValueError(f"Provided `mode` isn't either 'text' or 'title'! Received: {mode}")
+    return _fn(text.lower()) if mode=="title" else _fn(text)
+
+
+### MAIN CODE ###
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument("--raw-csv-path", help="Relative location of csv file containing raw Wikipedia data")
+
+    parser.add_argument("--drop-hard-dupl", help="""Flag whether to drop hard duplicates
+                        (exact values of data of relevant text fields, Titles & Desc)""",
+          default=True, type=argparse_bool_check)
+
+    parser.add_argument("--drop-soft-dupl", help="""Flag whether to drop soft duplicates
+                        (duplicates after cleansed and normalized relevant text fields, Titles & Desc)""",
+          default=True, type=argparse_bool_check)
+
+    parser.add_argument("--save-dir-path", help="""Relative dir path of saved Wikipedia CSV data
+                        to the `dedup_raw_wiki_data.py` script dir""",
+            default=os.path.dirname(os.path.abspath(__file__)))
+
+    ### THE FOLLOWING ARGUMENTS ONLY TEMPORARILY ALTER THE TEXT DATA ONLY FOR SOFT-DEDUP CHECK ###
+    ### THE INITIAL TEXT DATA WON'T BE OVERWRITTEN AFTER BEING PREPROCESSED ###
+    ### UNLESS YOU ARE SPECIFYING IN ARGS `overwrite-initial-title-data` AND `overwrite-initial-text-data` ###
+
+    ### ARGS TO OVERWRITTE INITIAL TEXT DATA WITH PROCESSED ONES ###
+    parser.add_argument("--overwrite-initial-title-data", help="""Flag whether to overwrite title
+                        init data w/ processed data (True) or keep it as it is (False)""",
+          default=False, type=argparse_bool_check)
+
+    parser.add_argument("--overwrite-initial-text-data", help="""Flag whether to overwrite text
+                        init data w/ processed data (True) or keep it as it is (False)""",
+          default=False, type=argparse_bool_check)
+
+    ### INSTANTIATOR ARGS FOR CONSTRUCTING TEXT PROCESSING FN TO BE APPLIED ###
+    parser.add_argument("--remove-non-alphanumeric-option", help="""Identifier which columns to be preprocessed
+                        using `remove_non_alphanumeric` for soft duplicates detection
+                        (Choices are "all", "text", "title", "neither")""",
+          default="neither", type=text_processing_args_checker)
+
+    parser.add_argument("--remove-excessive-whitespace-option", help="""Identifier which columns to be preprocessed
+                        using `remove_excessive_whitespace` for soft duplicates detection
+                        (Choices are "all", "text", "title", "neither")""",
+          default="all", type=text_processing_args_checker)
+
+    parser.add_argument("--remove-html-tags-option", help="""Identifier which columns to be preprocessed
+                        using `remove_html_tags` for soft duplicates detection
+                        (Choices are "all", "text", "title", "neither")""",
+          default="all", type=text_processing_args_checker)
+
+    parser.add_argument("--decode-url-option", help="""Identifier which columns to be preprocessed
+                        using `decode_url` for soft duplicates detection
+                        (Choices are "all", "text", "title", "neither")""",
+          default="all", type=text_processing_args_checker)
+
+    ### ARGS TO CHOOSE ENCODER CHECKING AND ITS CONFIG INITIALIZATION ###
+    parser.add_argument("--encoder-check-option", help="""Identifier which columns to be preprocessed
+                        using `check_text_by_encoder` for soft duplicates detection
+                        (Choices are "all", "text", "title", "neither")""",
+          default="all", type=text_processing_args_checker)
+
+    parser.add_argument("--text-encoder-choice-title", help="""Identifier of title encoder type
+                        to be applied into `check_text_by_encoder` for soft duplicates detection""",
+          default="utf8", type=str)
+
+    parser.add_argument("--text-encoder-choice-text", help="""Identifier of text encoder type
+                        to be applied into `check_text_by_encoder` for soft duplicates detection""",
+          default="utf8", type=str)
+
+
+    _EXPECTED_COLNAMES = ["id", "url", "title", "text"]
+
+    logger = set_logger()
+    logger.info("Parsing arguments...")
+
+    args = parser.parse_args()
+
+    # class dotdict(dict):
+    #     """dot.notation access to dictionary attributes"""
+    #     __getattr__ = dict.get
+    #     __setattr__ = dict.__setitem__
+    #     __delattr__ = dict.__delitem__
+    
+    # args = dotdict({
+    #     "raw_csv_path":"",
+    #     "drop_hard_dupl": True,
+    #     "drop_soft_dupl": True,
+    #     "save_dir_path": os.path.dirname(os.path.abspath(__file__)),
+    #     "overwrite_initial_title_data": False,
+    #     "overwrite_initial_text_data": False,
+    #     "remove_non_alphanumeric_option":"neither",
+    #     "remove_excessive_whitespace_option": "neither",
+    #     "remove_html_tags_option":"neither",
+    #     "decode_url_option":"neither",
+    #     "encoder_check_option":"all",
+    #     "text_encoder_choice_title":"utf8",
+    #     "text_encoder_choice_text":"utf8"
+    # })
+
+    _TEXT_PROCESSING_FN, _TITLE_PROCESSING_FN = _args_to_text_constructor_fn(
+        remove_non_alphanumeric_option = args.remove_non_alphanumeric_option,
+        remove_excessive_whitespace_option = args.remove_excessive_whitespace_option,
+        remove_html_tags_option = args.remove_html_tags_option,
+        decode_url_option = args.text_encoder_choice_title,
+        encoder_check_option = args.encoder_check_option,
+        text_encoder_choice_title = args.text_encoder_choice_title,
+        text_encoder_choice_text = args.text_encoder_choice_text
+    )
+
+    raw_data_path = args.raw_csv_path
+    drop_hard_dupl = args.drop_hard_dupl
+    drop_soft_dupl = args.drop_soft_dupl
+    save_dir = args.save_dir_path
+
+    overwrite_initial_title_data = args.overwrite_initial_title_data
+    overwrite_initial_text_data = args.overwrite_initial_text_data
+
+
+    df = pd.read_csv(raw_data_path)
+    if len(set(df.columns).difference(set(_EXPECTED_COLNAMES))) != 0 or len(set(_EXPECTED_COLNAMES).difference(set(df.columns))) != 0:
+        raise ValueError(f"The data schema expected, consist of columns: {', '.join(df.columns.to_list())} doesn't match with expected column values of {', '.join(_EXPECTED_COLNAMES)}!")
+
+    if (not drop_hard_dupl) and (not drop_soft_dupl):
+        raise AssertionError("The script won't run with both `drop-hard-dupl` and `drop-soft-dupl` args turned off!")
+    elif (not drop_hard_dupl):
+        warnings.warn("The args of `drop_hard_dupl` isn't turned off! Possibly the data will contain one template value of Wikipedia (usually no contribution text!)")
+
+    #will save id identifier colname first (popping first list val)
+    id_colname = _EXPECTED_COLNAMES.pop(0)
+
+    # if any of the data has duplicate values from columns checked (url, title, or text),
+    # it means the data integrity is questionable
+    # i.e. copied from other article or filled with template text
+    # hence, we will delete those duplicated datasets
+
+    #hard duplicate drop (drop all duplicate values that has exact same text on expected unique colnames)
+    if drop_hard_dupl:
+
+        for colname in _EXPECTED_COLNAMES:
+            logger.info(f"Checking data integrity on column {colname} on removing hard-duplicate(s)...")
+            dupl_text_df = df[df.duplicated(subset=colname,keep=False)]
+            shape_of_dupl_data = dupl_text_df.shape[0]
+
+            if shape_of_dupl_data > 0:
+                logger.info(f"Found {shape_of_dupl_data} data duplicated! Will be dropped")
+                df.drop_duplicates(subset=colname, keep=False, inplace=True)
+
+
+        #check id/idx of the cleansed data, whether it has duplicate
+        # (the duplication of id/idx should came from the very first extraction, not from the cleansing)
+
+        if df[df.duplicated(subset=id_colname,keep=False)].shape[0] > 0:
+            logger.info("Duplicated ID found! Re-assigning ID to the new ones based on `df.reset_index` method!")
+            df[id_colname] = df.reset_index().index
+
+    #soft duplicate drop (drop all except one duplicate values that has exact same text on expected unique colnames)
+    #keep the data that has longest value of its raw form
+    if drop_soft_dupl:
+
+        idx_to_keep = set(df.index.to_list())
+        #clean from text & title only, url isn't needed for this process
+        _EXPECTED_COLNAMES.remove("url")
+
+        for colname in _EXPECTED_COLNAMES:
+            #Construct Text Cleanser Fn for soft-duplicate cleansing
+            _PROCESSING_FN = _TEXT_PROCESSING_FN if colname == "text" else _TITLE_PROCESSING_FN
+            text_processing_fn = partial(_text_processing_wrapper, _fn=_PROCESSING_FN, mode=colname)
+            logger.info(f"Checking data integrity on column {colname} on removing soft-duplicate(s)...")
+            _df = df.copy(deep=True)
+
+            #Setting up DF cols as String so it can be text-processed
+            _df = _df[[colname]]
+            _df[colname] = _df[colname].astype("str")
+            logger.info(f"Cleansing the data based on {colname}")
+
+            #applying text processing
+            _df[colname+"_raw_len"] = _df[colname].apply(len)
+            _df[colname+"_cleansed"] = _df[colname].apply(lambda row_text: text_processing_fn(text=row_text))
+
+            #overwrite its text data if set as true
+            if overwrite_initial_title_data and colname == "title":
+                df[colname] = _df[colname+"_cleansed"]
+            elif overwrite_initial_text_data and colname == "text":
+                df[colname] = _df[colname+"_cleansed"]
+
+            #choose the data to keep by "ranking" it according to len of its raw text (greatest to keep)
+            logger.info(f"Ranking and grouping the data based on {colname}")
+            _df["rk"] = _df.groupby(colname+"_cleansed")[colname+"_raw_len"].rank(method="min", ascending=False)
+            shape_of_dupl_data = _df[_df["rk"]>1].shape[0]
+
+            if shape_of_dupl_data > 0:
+                logger.info(f"Found {shape_of_dupl_data} data duplicated! Will be dropped")
+                _idx_to_keep = _df[_df["rk"]==1].index.to_list()
+                if len(_idx_to_keep)+shape_of_dupl_data != df.shape[0]:
+                    raise AssertionError("Mismatch of data number!")
+                idx_to_keep = idx_to_keep.intersection(set(_idx_to_keep))
+            else:
+                logger.info(f"No soft-duplicate found in colname {colname}. Continuing")
+
+            del _df
+            gc.collect()
+
+        logger.info(f"The final data kept is {len(idx_to_keep)} from {df.shape[0]}")
+        df = df.loc[list(idx_to_keep),:]
+
+    logger.info("Saving dataset cleansed form...")
+    #input path splitted by ("/") for the last entry should return filename
+    #whereas the filename splitted by (".") except the last value should return the filename w/o ".csv" extension
+
+    _override_suffix_identifier = ""
+    if overwrite_initial_title_data or overwrite_initial_text_data:
+        _override_suffix_identifier = "_overwritten"
+        if overwrite_initial_text_data:
+            _override_suffix_identifier = "_text"+_override_suffix_identifier
+        if overwrite_initial_title_data:
+            _override_suffix_identifier = "_title"+_override_suffix_identifier
+
+    _save_file_name = ".".join(raw_data_path.split("/")[-1].split(".")[:-1]) + "_dedup_cleansed" + _override_suffix_identifier + ".csv"
+    _save_file_name = _save_file_name.replace("_raw", "")
+    df.to_csv(f"{save_dir}/{_save_file_name}", index=False)

dedup_raw_wiki_data_sea.sh

@@ -0,0 +1,61 @@
+#!/bin/bash
+
+# all available lang codes in SEA local-languages or linguistically-related to following countries in SEA:
+# Indonesia: "ace" (Acehnese), "ban" (Balinese), "bjn" (Banjarese), "bug" (Buginese), "gor" (Gorontalo), "id" (Indonesian), "jv" (Javanese), "mad" (Madurese), "map-bms" (Banyumasan, Dialect of Javanese), "min" (Minangkabau), "ms" (Malay), "nia" (Nias), "su" (Sundanese), "tet" (Tetum)
+# Singapore: "ms" (Malay)
+# Malaysia: "ms" (Malay)
+# Brunei: "ms" (Malay)
+# Thailand: "th" (Thai)
+# Myanmar: "my" (Burmese), "shn" (Shan), "mnw" (Mon)
+# Laos: "lo" (Lao)
+# Vietnam: "vi" (Vietnamese)
+# Cambodia: "km" (Khmer)
+# East Timor: "tet" (Tetum)
+
+#params of executions
+folder_dir_to_save=./sea_wiki_dedup_data
+input_folder_to_be_dedup=./sea_wiki_raw_data
+
+drop_hard_dupl=True
+drop_soft_dupl=True
+
+
+# main executions
+
+# src: https://stackoverflow.com/a/18887210 (to list all files under a dir)
+shopt -s nullglob
+file_name_array=($input_folder_to_be_dedup/*)
+shopt -u nullglob # Turn off nullglob to make sure it doesn't interfere with anything later
+file_name_array="${file_name_array}"
+
+if [ ${#file_name_array[@]} == 0 ]; then
+    echo "No files found under directory $input_folder_to_be_dedup" >&2
+fi
+
+if [ ! -d $folder_dir_to_save ];
+then
+    echo "Dir $folder_dir_to_save not exists! Creating the dir..."
+    mkdir $folder_dir_to_save
+fi
+
+echo "The params hard-dedup drop is set as $drop_hard_dupl"
+echo "The params soft-dedup drop is set as $drop_soft_dupl"
+
+for val in ${!file_name_array[@]}; do
+    csv_path=${file_name_array[$val]}
+
+    if [[ ${csv_path} != *".csv" ]]; then
+        echo "The extracted file name isn't a CSV! Skipping! Received $csv_path"
+        continue
+    fi
+
+    echo "Executing Dedup on iteration no "$((val+1))" of total ${#file_name_array[@]} for input data $csv_path"
+    #see the script bcs there are more args than this command is using
+    python dedup_raw_wiki_data.py \
+        --raw-csv-path $csv_path \
+        --drop-hard-dupl $drop_hard_dupl \
+        --drop-soft-dupl $drop_soft_dupl \
+        --save-dir-path $folder_dir_to_save
+    echo "Done Execution"
+done
+echo "Done Dedup Process"

extract_raw_wiki_data.py

@@ -0,0 +1,73 @@
+'''
+Script on Generating Wikipedia Data that are dumped into https://dumps.wikimedia.org/
+More info can be read on https://huggingface.co/datasets/wikipedia
+-------------------
+Check here to see available indexed data: https://dumps.wikimedia.org/backup-index.html
+Also check here to see language meta from its code: https://meta.wikimedia.org/wiki/List_of_Wikipedias
+'''
+
+import os, gc
+import logging
+import argparse
+
+import pandas as pd
+from datasets import load_dataset
+
+
+def set_logger():
+    # Set up the logger
+    logging.basicConfig(
+        level=logging.INFO,  # Set the desired logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+        format='%(asctime)s [%(levelname)s]: %(message)s',  # Customize the log message format
+        datefmt='%Y-%m-%d %H:%M:%S'  # Customize the date/time format
+    )
+
+    # Create a file handler to write logs into a file
+    file_handler = logging.FileHandler('app.log')
+
+    # Set the log level for the file handler
+    file_handler.setLevel(logging.INFO) 
+
+    # Create a formatter for the file handler (customize the log format for the file)
+    file_formatter = logging.Formatter('%(asctime)s [%(levelname)s]: %(message)s', datefmt='%Y-%m-%d %H:%M:%S')
+    file_handler.setFormatter(file_formatter)
+
+    logger = logging.getLogger("Wiki Dataset Generation")
+    logger.addHandler(file_handler)
+
+    return logger
+
+
+#only executed if called directly
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument("--lang-id", help="Lang ID from Wikipedia Data to extract")
+
+    parser.add_argument("--date-ver", help="Date of Wikipedia Data (YYYYMMDD) generation to extract")
+
+    parser.add_argument("--save-dir-path", help="""Relative dir path of saved Wikipedia CSV data
+                        to the `extract_raw_wiki_data.py` script dir""",
+            default=os.path.dirname(os.path.abspath(__file__)))
+
+    args = parser.parse_args()
+
+
+    dset_name = "wikipedia"
+
+    logger = set_logger()
+    logger.info("Parsing arguments...")
+
+    lang_id = args.lang_id
+    date_ver = args.date_ver
+    save_dir = args.save_dir_path
+
+    logger.info("Loading the dataset from Wikipedia...")
+    df = load_dataset(dset_name, language=lang_id, date=date_ver, beam_runner='DirectRunner', split="train").to_pandas()
+    logger.info("Loading done!")
+    logger.info(f"#Data collected: {df.shape[0]}")
+    logger.info("Saving dataset raw form...")
+    df.to_csv(f"{save_dir}/wiki_{lang_id}_{date_ver}_raw_dataset.csv", index=False)
+
+    del df
+    gc.collect()

extract_raw_wiki_data_sea.sh

@@ -0,0 +1,37 @@
+#!/bin/bash
+
+# all available lang codes in SEA local-languages or linguistically-related to following countries in SEA:
+# Indonesia: "ace" (Acehnese), "ban" (Balinese), "bjn" (Banjarese), "bug" (Buginese), "gor" (Gorontalo), "id" (Indonesian), "jv" (Javanese), "mad" (Madurese), "map-bms" (Banyumasan, Dialect of Javanese), "min" (Minangkabau), "ms" (Malay), "nia" (Nias), "su" (Sundanese), "tet" (Tetum)
+# Singapore: "ms" (Malay)
+# Malaysia: "ms" (Malay)
+# Brunei: "ms" (Malay)
+# Thailand: "th" (Thai)
+# Myanmar: "my" (Burmese), "shn" (Shan), "mnw" (Mon)
+# Laos: "lo" (Lao)
+# Vietnam: "vi" (Vietnamese)
+# Cambodia: "km" (Khmer)
+# East Timor: "tet" (Tetum)
+
+#params of executions
+date_ver=20231101
+folder_dir_to_save=./sea_wiki_raw_data
+lang_list=(ace ban bjn bug gor id km lo jv mad map-bms my min mnw ms nia su shn tet th vi)
+
+
+#main executions
+
+if [ ! -d $folder_dir_to_save ]; then
+    echo "Dir $folder_dir_to_save not exists! Creating the dir..."
+    mkdir $folder_dir_to_save
+fi
+
+for val in ${!lang_list[@]}; do
+    lang=${lang_list[$val]}
+    echo "Executing Extractor on iteration no $((val+1)) of total ${#lang_list[@]} for language $lang and date version of $date_ver"
+    python extract_raw_wiki_data.py \
+        --lang-id $lang \
+        --date-ver $date_ver \
+        --save-dir-path $folder_dir_to_save
+    echo "Done Execution"
+done
+echo "Done Extraction Process"

requirements.txt

@@ -0,0 +1,6 @@
+datasets==2.14.6
+pandas==2.1.0
+fsspec==2023.9.1
+apache-beam==2.50.0
+dill~=0.3.1.0
+numpy==1.24.4

sea_wiki.py

@@ -0,0 +1,246 @@
+"""The Southeast Asia Lan Wiki Loader"""
+
+import os
+import re
+
+from functools import reduce
+
+import numpy as np
+import pandas as pd
+
+import datasets
+
+
+_CITATIONS = """\
+@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"}"""
+
+_REPO_URL = "https://huggingface.co/datasets/sabilmakbar/sea_wiki"
+
+_LICENSE = (
+    "This work is licensed under the Creative Commons Attribution-ShareAlike "
+    "3.0 Unported License. To view a copy of this license, visit "
+    "http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to "
+    "Creative Commons, PO Box 1866, Mountain View, CA 94042, USA."
+)
+
+
+_SEA_WIKI_RAW_DESCRIPTION = """\
+Southeast Asia Wikipedia Data Repository contains Wikipedia Data from Wikipedia HF that focuses
+on extraction in all available Languanges and Local Languages across South East Asia, which some of them
+are considered as low-resource languages or extremely low-resource languages"""
+
+_SEA_WIKI_DEDUP_DESCRIPTION = """\
+This is a derivative of South East Asia Wikipedia Data Repository which is already pre-processed
+by identifying and dropping duplicates to prevent boilerplate texts occuring in dataset"""
+
+_AVAILABLE_DUMP_VERSION_DATE = ["20231101"]
+
+# map from alpha-3 country codes to ISO-639 3 lang codes
+# alpha-3 codes: https://www.iban.com/country-codes
+# ISO-639 codes: https://iso639-3.sil.org/code_tables/639/data
+_COUNTRY_TO_LANG_MAPPER = {
+    "idn": ["ace", "ban", "bjn", "bug", "gor", "id", "jv", "mad", "map-bms", "min", "ms", "nia", "su", "tet"],
+    "sgp": ["ms"],
+    "mys": ["ms"],
+    "brn": ["ms"],
+    "tha": ["th"],
+    "mmr": ["my", "shn", "mnw"],
+    "lao": ["lo"],
+    "vnm": ["vi"],
+    "khm": ["km"],
+    "tls": ["tet"]}
+
+_AVAILABLE_DUMP_LANGUAGES = reduce(np.union1d, list(_COUNTRY_TO_LANG_MAPPER.values()))
+
+_LATEST_DUMP_VERSION_DATE = sorted(_AVAILABLE_DUMP_VERSION_DATE)[-1]
+
+
+def _construct_dset_url_from_dset_version_and_lang(date_ver: str, lang: str, mode: str):
+    _mode_to_folder_mapper = {"dedup": "sea_wiki_dedup_data", "raw": "sea_wiki_raw_data"}
+    _mode_to_file_suffix_mapper = {"dedup": "dataset_dedup_cleansed.csv", "raw": "raw_dataset.csv"}
+
+    return os.path.join(_mode_to_folder_mapper[mode], f"wiki_{lang}_{date_ver}_{_mode_to_file_suffix_mapper[mode]}")
+
+
+class SEAWikiConfig(datasets.BuilderConfig):
+    """BuilderConfig for SEAWiki."""
+
+    def __init__(self, description: str=None, features: list=['url', 'title', 'text'],
+                 data_url: str=None, date_stamp: str=_LATEST_DUMP_VERSION_DATE, country: str=None,
+                 lang: str=None, mode = "dedup", **kwargs):
+        """BuilderConfig for SEAWiki.
+
+        Args:
+          description: `string`, description of dataset
+          features: `list[string]`, list of the features that will appear in the
+            feature dict. Should not include "label" if it's a supervised.
+          data_url: `string`, url to download the data.
+          date_stamp: `string`, wikidump date_stamp for data available in repo.
+          lang: `string`, language to be loaded.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        # validate configs
+        if mode not in ["dedup", "raw"]:
+            raise ValueError(f"Error occured! Expected values are 'dedup' or 'raw' for arg `mode`, received {mode}!")
+
+        if ((lang is None and country is None) or date_stamp is None) and data_url is None:
+            raise ValueError("Expected `data_url` is provided or both `date_stamp` and `lang` or `country` are provided!")
+
+        _mode_to_desc_mapper = {"dedup": _SEA_WIKI_DEDUP_DESCRIPTION, "raw": _SEA_WIKI_RAW_DESCRIPTION}
+
+        if date_stamp is not None and date_stamp not in _AVAILABLE_DUMP_VERSION_DATE:
+            raise ValueError("Provided `date_stamp` dataset versioning doesn't match! Please re-check")
+
+        if lang is not None and lang not in _AVAILABLE_DUMP_LANGUAGES:
+            raise ValueError("Provided `lang` doesn't match! Please re-check")
+        
+        if country is not None and country not in _COUNTRY_TO_LANG_MAPPER.keys() and lang is None:
+            raise ValueError("Provided `country` doesn't match! Please re-check")
+
+        super(SEAWikiConfig, self).__init__(**kwargs)
+        self.features = features
+
+        # prioritize kwargs data_url
+        if data_url is not None:
+            self.data_url = data_url
+        # prioritize lang provided over country
+        elif lang is not None:
+            self.data_url = _construct_dset_url_from_dset_version_and_lang(date_ver=date_stamp, lang=lang, mode=mode)
+        # if only country provided, create dict of langs
+        elif country is not None:
+            self.data_url = {lang: _construct_dset_url_from_dset_version_and_lang(date_ver=date_stamp, lang=lang, mode=mode) for lang in _COUNTRY_TO_LANG_MAPPER[country]}
+
+        # auto-construct desc if not provided
+        if description is None:
+            self.description = _mode_to_desc_mapper[mode] + "\n" + f"Extracted from file path {self.data_url}"
+
+        #define citations & info URL internally in config class
+        self.citation = _CITATIONS
+        self.url = _REPO_URL
+
+
+class SEAWiki(datasets.GeneratorBasedBuilder):
+    """The SEAWiki Dataset."""
+
+    # if name isn't provided, will create a dataset of all languages
+    DEFAULT_CONFIG_NAME = "seawiki_dedup_all"
+    BUILDER_CONFIG_CLASS = SEAWikiConfig
+
+    # construct data-url with countries a list of spoken langs as value
+    _newest_data_raw_all_langs = [_construct_dset_url_from_dset_version_and_lang(
+        date_ver=_LATEST_DUMP_VERSION_DATE, lang=lang, mode="raw") for lang in _AVAILABLE_DUMP_LANGUAGES]
+    _newest_data_dedup_all_langs = [_construct_dset_url_from_dset_version_and_lang(
+        date_ver=_LATEST_DUMP_VERSION_DATE, lang=lang, mode="dedup") for lang in _AVAILABLE_DUMP_LANGUAGES]
+
+    # construct data-url with countries as key-dict, being country code as key and list of spoken langs as value
+    _newest_data_raw_with_countries_all_langs = {
+        country: [_construct_dset_url_from_dset_version_and_lang(date_ver=_LATEST_DUMP_VERSION_DATE, lang=lang, mode="raw") for lang in lang_list]
+        for country, lang_list in _COUNTRY_TO_LANG_MAPPER.items()}
+    _newest_data_dedup_with_countries_all_langs = {
+        country: [_construct_dset_url_from_dset_version_and_lang(date_ver=_LATEST_DUMP_VERSION_DATE, lang=lang, mode="dedup") for lang in lang_list]
+        for country, lang_list in _COUNTRY_TO_LANG_MAPPER.items()}
+
+    BUILDER_CONFIGS = [
+        SEAWikiConfig(
+            name="seawiki_all",
+            description=_SEA_WIKI_RAW_DESCRIPTION,
+            data_url=_newest_data_raw_all_langs
+        ),
+        SEAWikiConfig(
+            name="seawiki_dedup_all",
+            description=_SEA_WIKI_DEDUP_DESCRIPTION,
+            data_url=_newest_data_dedup_all_langs
+        ),
+        SEAWikiConfig(
+            name="seawiki_with_countries_all",
+            description=_SEA_WIKI_RAW_DESCRIPTION,
+            data_url=_newest_data_raw_with_countries_all_langs
+        ),
+        SEAWikiConfig(
+            name="seawiki_with_countries_dedup_all",
+            description=_SEA_WIKI_DEDUP_DESCRIPTION,
+            data_url=_newest_data_dedup_with_countries_all_langs
+        ),
+    ]
+
+
+    def _info(self):
+        features = {feature: datasets.Value("string") for feature in self.config.features}
+
+        return datasets.DatasetInfo(
+            description = self.config.description,
+            features = datasets.Features(features),
+            homepage = self.config.url,
+            citation = self.config.citation,
+            license=_LICENSE)
+
+
+    @staticmethod
+    def _get_lang_name_from_data_url(data_url: str):
+        # lang code occurred after "wiki_" and before date versioning (using 8len date)
+        _list_folder_sep = data_url.split("/")[-1].split("_")
+        _min_pos = min([pos for pos, data in enumerate(_list_folder_sep) if bool(re.search("\d{8}", data))])
+        return re.sub("[^\w\.]", "_", "_".join(_list_folder_sep[1:_min_pos]))
+
+
+    def _split_generators(self, dl_manager):
+
+        # handle cases of config "seawiki_all", "seawiki_dedup_all", and custom config where only country is provided (take all langs in a country)
+        if self.config.name in ("seawiki_all", "seawiki_dedup_all") or (self.config.country is not None and self.config.lang is None):
+            file_dict = {self._get_lang_name_from_data_url(file): file for file in self.config.data_url}
+            dl_dir = dl_manager.download_and_extract(file_dict)
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split(split_name),
+                    gen_kwargs={
+                        "data_file": file_name
+                    }
+                )
+            for split_name, file_name in dl_dir.items()]
+
+        # handle cases of config "seawiki_with_countries_all", "seawiki_with_countries_dedup_all"
+        elif self.config.name in ("seawiki_with_countries_all", "seawiki_with_countries_dedup_all"):
+            file_dict = {}
+
+            for country, file_list in self.config.data_url.items():
+                for file in file_list:
+                    file_dict[country + "_" + self._get_lang_name_from_data_url(file)] = file
+
+            dl_dir = dl_manager.download_and_extract(file_dict)
+
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split(split_name),
+                    gen_kwargs={
+                        "data_file": file_name
+                    }
+                )
+            for split_name, file_name in dl_dir.items()]
+
+        # handle custom config where only country is provided
+        elif self.config.lang is not None:
+            dl_dir = dl_manager.download_and_extract(self.config.data_url)
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    gen_kwargs={
+                        "data_file": dl_dir
+                    },
+                )
+            ]
+        
+
+    def _generate_examples(self, data_file):
+        pd_df = pd.read_csv(data_file)
+        for _, row in pd_df.iterrows():
+            example = {feature: row[feature] for feature in self.config.features}
+            idx = row["id"]
+            yield idx, example

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