| from datasets import load_dataset | |
| import datasets | |
| import xml.etree.ElementTree as ET | |
| import re | |
| import requests | |
| from collections import defaultdict | |
| import os | |
| XML_FILES = [ | |
| ['kowiki-20230420-pages-articles.xml'], | |
| ['kowiki-20230501-pages-articles.xml'], | |
| ['kowiki-20230520-pages-articles.xml'], | |
| ['kowiki-20230601-pages-articles.xml'], | |
| ['kowiki-20230620-pages-articles.xml'], | |
| ['kowiki-20230701-pages-articles.xml'], | |
| ['kowiki-20230720-pages-articles.xml'], | |
| ['kowiki-20230801-pages-articles.xml'], | |
| ['kowiki-20230820-pages-articles.xml'], | |
| ['kowiki-20230901-pages-articles.xml'], | |
| ['kowiki-20231101-pages-articles-multistream.xml'] | |
| ] | |
| PROCESSED_FILES = [ | |
| [f"20230420/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230501/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230520/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230601/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230620/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230701/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230720/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| [f"20230801/train-{i:05d}-of-00010.parquet" for i in range(10)], | |
| ] | |
| def take_behind_linked_text(text): | |
| _PATTERN = "\[\[[^\[\]\|]+\|([^\[\]]+)\]\]" | |
| result = "" | |
| while True: | |
| result = re.sub(_PATTERN, "\\1", text) | |
| if result == text: | |
| break | |
| text = result | |
| return text | |
| def remove_linked_text(text): | |
| result = "" | |
| while True: | |
| result = re.sub("\[\[([^\[\]\|]+)\]\]", "\\1", text) | |
| if result == text: | |
| break | |
| text = result | |
| return text | |
| def remove_attribute_in_table(text): | |
| text = re.sub("<bgcolor=#[^>]+>", "", text) | |
| text = re.sub("<-[0-9]>", "", text) | |
| text = re.sub("\|\|<table[^\n]+\n", "", text) | |
| text = re.sub("<tablewidth\=[^>]+>", "", text) | |
| text = re.sub("<width\=[^>]+>", "", text) | |
| text = re.sub("(?<=์ฝ๋ฉํธ\-)\|\|(?=\n)", "", text) | |
| return text | |
| def replace_link(text): | |
| text = re.sub("\[youtube\([^\]]+\)\]", "[YOUTUBE LINK]", text) | |
| return text | |
| def remove_double_bracket_text(text): | |
| text = re.sub("\{\{([^|\{\}]+)\}\}", "\\1", text) | |
| text = re.sub("\|style[^\}]+(\}\})", "}}", text) | |
| text = re.sub("\{\{ll?ang\|[a-z]+\|([^\{\}]+)\}\}", "\\1", text) | |
| text = re.sub("\{\{[^\=]+\|([^\=\{\}]+)\}\}", "\\1", text) | |
| matched = re.search("{{([^\|\{\}]+)\n\|([^\}]+)\}\}", text) | |
| if matched is not None: | |
| s, e = matched.span() | |
| values = matched.group(2).split("\n|") | |
| text = text[:s] + f"[{matched.group(1)}]" + ", ".join( | |
| [v for v in values if v.split("=")[-1].strip() not in ("", "๊ฐ์ฐพ๊ธฐ")]) + "\n" + text[e:] | |
| text = re.sub("\{\{๋ณดํธ ๋ฌธ์\|ํฌ๊ธฐ\=์๊ฒ\}\}", "", text) | |
| text = re.sub("{{๋งํ์ \|1\=NUMBER+[^}]+\}\}", "<NUMBER>", text) | |
| return text | |
| def process_text(text: str): | |
| if not isinstance(text, str): | |
| return "" | |
| text = text.strip() | |
| text = re.sub("<[^>]+>", "", text) | |
| text = re.sub("\[\[(ํ์ผ:[^\]]+)", "[\\1", text) | |
| text = remove_linked_text(text) | |
| text = take_behind_linked_text(text) | |
| text = text.replace("[ํ์ผ:", "[[ํ์ผ:") | |
| text = re.sub("'''", "", text) | |
| text = replace_link(text) | |
| text = remove_attribute_in_table(text) | |
| text = remove_double_bracket_text(text) | |
| text = re.sub("[0-9]+px\|sub\|link[^\n]+", "", text) | |
| text = text.replace("\n]]\n", "\n") | |
| text = re.sub("์ฌ๋ค์ผ\|[^\n]+\|([^\n]+)", "\\1", text) | |
| text = re.sub("\n{2,}", "\n\n", text) | |
| text = re.sub("\t{2,}", "\t\t", text) | |
| text = re.sub("[โโ]", '"', text) | |
| text = re.sub("[โโ]", "'", text) | |
| text = text.replace("ใ", "<<").replace("ใ", ">>") | |
| return text.strip() | |
| class WikiConfig(datasets.BuilderConfig): | |
| """BuilderConfig for Wikibuilder.""" | |
| def __init__(self, name, data_url, data_dir, citation, **kwargs): | |
| """BuilderConfig for Wikibuilder. | |
| Args: | |
| name: `string`, name of the dataset | |
| data_url: `string`, url to the dataset | |
| data_dir: `string`, directory to which the data is downloaded and extracted | |
| citation: `string`, citation for the dataset | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(WikiConfig, self).__init__( | |
| name=name, | |
| version=datasets.Version("1.0.0", ""), | |
| description=("Wikipedia dataset"), | |
| **kwargs | |
| ) | |
| self.data_url = data_url | |
| self.data_dir = data_dir | |
| self.citation = citation | |
| class KoWiki(datasets.GeneratorBasedBuilder): | |
| """KoWiki: Korean Wikipedia""" | |
| BUILDER_CONFIGS = [ | |
| WikiConfig( | |
| name=name[0].split("-")[1], | |
| data_url=[f"https://huggingface.co/datasets/psyche/kowiki/resolve/main/data/{n}" for n in name], | |
| data_dir="data", | |
| citation="", | |
| ) | |
| for name in XML_FILES | |
| ]+[ | |
| WikiConfig( | |
| name = os.path.dirname(name[0]) +".process", | |
| data_url=[f"https://huggingface.co/datasets/psyche/kowiki/resolve/main/data/{n}" for n in name], | |
| data_dir=name, | |
| citation="", | |
| ) | |
| for name in PROCESSED_FILES | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=("Korean Wikipedia", ), | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "title": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage="https://dumps.wikimedia.org/kowiki/", | |
| citation=self.config.citation, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| data_files = dl_manager.download_and_extract(self.config.data_url) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={"data_files": data_files}, | |
| ) | |
| ] | |
| def _generate_examples(self, data_files): | |
| n = 0 | |
| if self.config.name.endswith(".process"): | |
| _dataset = load_dataset("parquet", data_files={"train": data_files}, token=self.use_auth_token, split= "train", streaming=True) | |
| for d in _dataset: | |
| yield n, d | |
| n += 1 | |
| else: | |
| output = {} | |
| for data_file in data_files: | |
| if data_file.startswith(("https://", "http://")): | |
| data_file = requests.get(data_file, stream=True).raw | |
| for event, node in ET.iterparse(data_file): | |
| tag_name = node.tag | |
| if tag_name.endswith("title"): | |
| output["title"] = node.text | |
| elif tag_name.endswith("text"): | |
| output["text"] = node.text | |
| elif tag_name.endswith("page"): | |
| output["id"] = f"{n:08d}" | |
| yield n, output | |
| output = {} | |
| n += 1 | |