Delete wikipedia_tw.py

wikipedia_tw.py

@@ -1,99 +0,0 @@
-import json
-import datasets
-from sklearn.model_selection import train_test_split
-import pandas as pd
-import os
-
-logger = datasets.logging.get_logger(__name__)
-
-_CITATION = """\
-@article{2016arXiv160605250R,
-       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
-                 Konstantin and {Liang}, Percy},
-        title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
-      journal = {arXiv e-prints},
-         year = 2016,
-          eid = {arXiv:1606.05250},
-        pages = {arXiv:1606.05250},
-archivePrefix = {arXiv},
-       eprint = {1606.05250},
-}
-"""
-
-_DESCRIPTION = """\
-解析維基百科打包好的 bz2 檔案，解析出所需內容，利用 wikitextparser 移除 Wiki 標記。\
-本資料檔是解析自維基百科 20230701 繁體中文版打包檔的內容。\
-解析後保留的欄位有兩個：條目名稱（title），條目內容（page article）。\
-
-原始的打包檔內容簡繁交雜，所以有利用 OpenCC 進行簡轉繁處理。\
-
-原始總條目數: 4,296,654 條目。\
-全部 4,296,249 個條目標題。\
-全部 4,296,249 個條目內容。\
-無法自動去標記的條目數: 5,415\
-有內容的條目數: 4,296,249
-"""
-
-_URL = "https://huggingface.co/datasets/jslin09/wikipedia_tw"
-#_URLS = {
-#    "train": _URL + "train-v1.1.json",
-#    "dev": _URL + "dev-v1.1.json",
-#}
-
-class WikipediaConfig(datasets.BuilderConfig):
-    """BuilderConfig for Wikipedia_tw."""
-    def __init__(self, **kwargs):
-        """BuilderConfig for Wikipedia_tw.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(WikipediaConfig, self).__init__(**kwargs)
-
-class Wikipedia_tw(datasets.GeneratorBasedBuilder):
-    """Wikipedia_tw: The Wekipedia Dataset in Traditional Chinese plain text. Version 1.0."""
-
-    BUILDER_CONFIGS = [
-        WikipediaConfig(
-            name="plain_text",
-            version=datasets.Version("1.0.0", ""),
-            description="The Wekipedia in Traditional Chinese plain text.",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "title": datasets.Value("string"),
-                    "article": datasets.Value("string")
-                }
-            ),
-            # No default supervised_keys (as we have to pass both question
-            # and context as input).
-            supervised_keys=None,
-            homepage="https://huggingface.co/datasets/jslin09/wikipedia_tw",
-    #        citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download_and_extract(_URL)
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
-#            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
-        ]
-
-    def _generate_examples(self, filepath):
-        logger.info("generating examples from = %s", filepath)
-        key = 0
-        with open(filepath, 'r', encoding='UTF-8') as f:
-            wikipedia = json.load(f, strict=False,)
-            for page_index in len(wikipedia):
-                title = wikipedia[page_index]["title"]
-                article = wikipedia[page_index]["article"]
-                yield key, {
-                    "title": title,
-                    "article": article,
-                }
-            key=key+1