Created
October 5, 2020 17:09
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script for downloading wikipedia cropus as txt file
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# from https://towardsdatascience.com/train-gpt-2-in-your-own-language-fc6ad4d60171 | |
import tensorflow as tf | |
from gensim.corpora import WikiCorpus | |
import os | |
import argparse | |
def store(corpus, lang): | |
base_path = os.getcwd() | |
store_path = os.path.join(base_path, '{}_corpus'.format(lang)) | |
if not os.path.exists(store_path): | |
os.mkdir(store_path) | |
file_idx=1 | |
for text in corpus.get_texts(): | |
current_file_path = os.path.join(store_path, 'article_{}.txt'.format(file_idx)) | |
with open(current_file_path, 'w' , encoding='utf-8') as file: | |
file.write(bytes(' '.join(text), 'utf-8').decode('utf-8')) | |
#endwith | |
file_idx += 1 | |
#endfor | |
def tokenizer_func(text: str, token_min_len: int, token_max_len: int, lower: bool) -> list: | |
return [token for token in text.split() if token_min_len <= len(token) <= token_max_len] | |
def run(lang): | |
origin='https://dumps.wikimedia.org/{}wiki/latest/{}wiki-latest-pages-articles.xml.bz2'.format(lang,lang) | |
fname='{}wiki-latest-pages-articles.xml.bz2'.format(lang) | |
file_path = tf.keras.utils.get_file(origin=origin, fname=fname, untar=False, extract=False) | |
corpus = WikiCorpus(file_path, lemmatize=False, lower=False, tokenizer_func=tokenizer_func) | |
store(corpus, lang) | |
if __name__ == '__main__': | |
ARGS_PARSER = argparse.ArgumentParser() | |
ARGS_PARSER.add_argument( | |
'--lang', | |
default='en', | |
type=str, | |
help='language code to download from wikipedia corpus' | |
) | |
ARGS = ARGS_PARSER.parse_args() | |
run(**vars(ARGS)) |
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