diff --git a/README.md b/README.md
deleted file mode 100644
index aef9fcb2b76dc3446a5056cd98401cfe9da03685..0000000000000000000000000000000000000000
--- a/README.md
+++ /dev/null
@@ -1,5757 +0,0 @@
----
-annotations_creators:
-- no-annotation
-language_creators:
-- crowdsourced
-pretty_name: Wikipedia
-paperswithcode_id: null
-license:
-- cc-by-sa-3.0
-- gfdl
-task_categories:
-- text-generation
-- fill-mask
-task_ids:
-- language-modeling
-- masked-language-modeling
-source_datasets:
-- original
-multilinguality:
-- multilingual
-size_categories:
-- n<1K
-- 1K
-and identify the date.
-
-### 2. [Optional] Get a refreshed list of languages
-
-This is optional because it not very likely that a new language will have
-suddenly appeared since the last version _and_ have a significant dataset.
-
-Navigate to and copy the
-languages column from the "Detailed list" table (near the end of the page).
-
-Copy that content in the form of a Python list into `lang_def.py` (at the top
-of the repo) under a new date.
-
-### 3. [Optional] Create Media and Category aliases
-
-In order to properly extract links to images and media in all languages, we
-must refresh the two corresponding files. To do so, from the root of the repo,
-run
-
-```sh
-python -m prep.create_aliases
-```
-
-This will create or update these two files at the root of the repo:
-
-- `media_aliases.py`
-- `category_aliases.py`
-
-These files are used in the final step
-
-### 4. Build and prepare the datasets into sharded parquet files
-
-Running this script downloads the wikipedia dumps for each language in
-`lang_def.py` and shards each language dataset into the appropriate number of
-shards (max size ~ 250MB).
-
-```sh
-python -m prep.build --date 20230601
-```
-
-There are other options:
-
-```text
-$ python -m prep.build --help
-usage: Wikipedia Builder [-h] [--date DATE] [--language [LANG ...]] [--cache-dir DIR] [--mirror MIRROR]
-
-Prepares the Wikipedia dataset for each language
-
-optional arguments:
- -h, --help show this help message and exit
- --date DATE Wikipedia dump date (e.g. 20230601)
- --language [LANG ...] Language code (e.g. en). If missing, all languages are processed
- --cache-dir DIR Cache directory for 🤗 Datasets
- --mirror MIRROR Mirror URL
-```
-
-For instance, for faster downloads of the dumps, use the mirror option:
-
-```sh
-python -m prep.build \
- --date 20230601 \
- --language bs \
- --mirror https://mirror.accum.se/mirror/wikimedia.org/dumps/
-```
-
-It will download the dumps at around 60MB/s instead of the capped speed
-(~4MB/s) from . The script will skip existing
-directories, allowing you to run the script in several passes.
-
-Notes:
-
-- These instructions build upon the build process of the
- [Wikipedia](https://huggingface.co/datasets/wikipedia) 🤗 Dataset. HF did a
- fantastic job, I just pushed it a bit further.
-- Be aware that not all mirrors contain all dumps. For instance mirror.accum.se
- does not contain dumps for languages such as be-x-old or cbk-zam. My own
- solution is to run a first pass using the aforementioned mirror, and a second
- pass with the official `https://dumps.wikimedia.org` site (omitting the
- `--mirror` parameter).
-
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diff --git a/data/20230601/zh/train-0004-of-0011.parquet b/data/20230601/zh/train-0004-of-0011.parquet
deleted file mode 100644
index 705c81a85307c9414a10ef7b063eb1fa47e8d966..0000000000000000000000000000000000000000
--- a/data/20230601/zh/train-0004-of-0011.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:45d4a9fd37e4dc71a042c7fed2fcc412a4482e2f067756531ba325fcd4a931a2
-size 158298884
diff --git a/data/20230601/zh/train-0007-of-0011.parquet b/data/20230601/zh/train-0007-of-0011.parquet
deleted file mode 100644
index cad5539e3351e3f2693113528dcce21acc257c8d..0000000000000000000000000000000000000000
--- a/data/20230601/zh/train-0007-of-0011.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2dfe886ffa311f007b61cf9bdd8a60dd2423c24fd31d1fd808e1af03bb8adb17
-size 157491792
diff --git a/data/20230601/zh/train-0009-of-0011.parquet b/data/20230601/zh/train-0009-of-0011.parquet
deleted file mode 100644
index b51c0bcf6f8f7ae44a12931e2515e5ca1e357417..0000000000000000000000000000000000000000
--- a/data/20230601/zh/train-0009-of-0011.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c78b418f82f7db82b1b2c8a74e182e486ca4040eb462d720ca5ce1a2d7aa0b8a
-size 154793553
diff --git a/data/20230601/zu/info.json b/data/20230601/zu/info.json
deleted file mode 100644
index 80da1c76b301e491412b3d0269ec1644d8cc21c4..0000000000000000000000000000000000000000
--- a/data/20230601/zu/info.json
+++ /dev/null
@@ -1 +0,0 @@
-{"shards": ["train-0001-of-0001.parquet"]}
\ No newline at end of file
diff --git a/lang_def.py b/lang_def.py
deleted file mode 100644
index 996dbfc047b51eeb41620c298058aaf973e97692..0000000000000000000000000000000000000000
--- a/lang_def.py
+++ /dev/null
@@ -1,342 +0,0 @@
-"""
-Declares which languages are available in the Wikipedia dataset per date.
-
-Source: https://meta.wikimedia.org/wiki/Names_of_Wikimedia_languages (accessed 6/6/2023)
-"""
-
-WIKIPEDIA_LANGUAGES = {
- "20230601": [
- # "aa", # closed and no dump
- "ab",
- "ace",
- "ady",
- "af",
- "ak", # 1 placeholder article, but not closed
- "als",
- "alt",
- "am",
- "ami",
- "an",
- "ang",
- "anp",
- "ar",
- "arc",
- "ary",
- "arz",
- "as",
- "ast",
- "atj",
- "av",
- "avk",
- "awa",
- "ay",
- "az",
- "azb",
- "ba",
- "ban",
- "bar",
- "bat-smg",
- "be-x-old",
- "bcl",
- "be",
- "bg",
- "bh",
- "bi",
- "bjn",
- "blk",
- "bm",
- "bn",
- "bo",
- "bpy",
- "br",
- "bs",
- "bug",
- "bxr",
- "ca",
- "cbk-zam",
- "cdo",
- "ce",
- "ceb",
- "ch",
- "cho", # closed
- "chr",
- "chy",
- "ckb",
- "co",
- "cr",
- "crh",
- "cs",
- "csb",
- "cu",
- "cv",
- "cy",
- "da",
- "dag",
- "de",
- "din",
- "diq",
- "dsb",
- "dty",
- "dv",
- "dz",
- "ee",
- "el",
- "eml",
- "en",
- "eo",
- "es",
- "eu",
- "ext",
- "fa",
- "fat",
- "ff",
- "fi",
- "fiu-vro",
- "fj",
- "fo",
- "fr",
- "frp",
- "frr",
- "fur",
- "fy",
- "ga",
- "gag",
- "gan",
- "gcr",
- "gd",
- "gl",
- "glk",
- "gn",
- "gom",
- "gor",
- "got",
- "gu",
- "guc",
- "gur",
- "guw",
- "gv",
- "ha",
- "hak",
- "haw",
- "he",
- "hi",
- "hif",
- "ho", # closed
- "hr",
- "hsb",
- "ht",
- "hu",
- "hy",
- "hyw",
- # "hz", # closed and no dump
- "ia",
- "id",
- "ie",
- "ig",
- "ii", # closed
- "ik",
- "ilo",
- "inh",
- "io",
- "is",
- "it",
- "iu",
- "ja",
- "jam",
- "jbo",
- "jv",
- "ka",
- "kaa",
- "kab",
- "kbd",
- "kbp",
- "kcg",
- "kg",
- "ki",
- "kj", # closed
- "kk",
- "kl",
- "km",
- "kn",
- "ko",
- "koi",
- # "kr", # closed and no dump
- "krc",
- "ks",
- "ksh",
- "ku",
- "kv",
- "kw",
- "ky",
- "la",
- "lad",
- "lb",
- "lbe",
- "lez",
- "lfn",
- "lg",
- "li",
- "lij",
- "lld",
- "lmo",
- "ln",
- "lo",
- "lrc", # closed
- "lt",
- "ltg",
- "lv",
- "mad",
- "mai",
- "map-bms",
- "mdf",
- "mg",
- "mh", # closed
- "mhr",
- "mi",
- "min",
- "mk",
- "ml",
- "mn",
- "mni",
- "mnw",
- "mr",
- "mrj",
- "ms",
- "mt",
- "mus", # closed
- "mwl",
- "my",
- "myv",
- "mzn",
- # "na", # closed and no dump
- "nah",
- "nap",
- "nds",
- "nds-nl",
- "ne",
- "new",
- "ng", # closed
- "nia",
- "nl",
- "nn",
- "no",
- "nov",
- "nqo",
- "nrm",
- "nso",
- "nv",
- "ny",
- "oc",
- "olo",
- "om",
- "or",
- "os",
- "pa",
- "pag",
- "pam",
- "pap",
- "pcd",
- "pcm",
- "pdc",
- "pfl",
- "pi",
- "pih",
- "pl",
- "pms",
- "pnb",
- "pnt",
- "ps",
- "pt",
- "pwn",
- "qu",
- "rm",
- "rmy",
- "rn",
- "ro",
- "roa-rup",
- "roa-tara",
- "ru",
- "rue",
- "rw",
- "sa",
- "sah",
- "sat",
- "sc",
- "scn",
- "sco",
- "sd",
- "se",
- "sg",
- "sh",
- "shi",
- "shn",
- "si",
- "simple",
- "sk",
- "skr",
- "sl",
- "sm",
- "smn",
- "sn",
- "so",
- "sq",
- "sr",
- "srn",
- "ss",
- "st",
- "stq",
- "su",
- "sv",
- "sw",
- "szl",
- "szy",
- "ta",
- "tay",
- "tcy",
- "te",
- "tet",
- "tg",
- "th",
- "ti",
- "tk",
- "tl",
- "tn",
- "to",
- "tpi",
- "tr",
- "trv",
- "ts",
- "tt",
- "tum",
- "tw",
- "ty",
- "tyv",
- "udm",
- "ug",
- "uk",
- "ur",
- "uz",
- "ve",
- "vec",
- "vep",
- "vi",
- "vls",
- "vo",
- "wa",
- "war",
- "wo",
- "wuu",
- "xal",
- "xh",
- "xmf",
- "yi",
- "yo",
- "za",
- "zea",
- "zh",
- "zh-classical",
- "zh-min-nan",
- "zh-yue",
- "zu",
- ],
-}
diff --git a/prep/build.py b/prep/build.py
deleted file mode 100644
index cf2f77e9499513bae7e07a493e93f8e952d13bdf..0000000000000000000000000000000000000000
--- a/prep/build.py
+++ /dev/null
@@ -1,155 +0,0 @@
-import argparse
-import gc
-import json
-import os
-import shutil
-from datetime import datetime
-from pathlib import Path
-from typing import Optional
-
-from datasets import DatasetDict, load_dataset
-
-from .lang_def import WIKIPEDIA_LANGUAGES
-
-_MAX_SHARD_SIZE = 256 * 1024 * 1024
-
-
-def main(
- languages: list[str],
- date: str,
- dest_dirpath: Path,
- cache_dirpath: Optional[Path],
- mirror_url: str,
- override: bool = False,
-):
- for language in languages:
- print("=====================")
- print(f"start processing `{language}`")
- start_time = datetime.now()
-
- lang_dest_dirpath = dest_dirpath / language
- if lang_dest_dirpath.exists():
- if override:
- print(f"overriding `{language}` at {lang_dest_dirpath}")
- shutil.rmtree(lang_dest_dirpath)
- else:
- print(
- f"skipping `{language}` because {lang_dest_dirpath} already exists"
- )
- print(f"done processing `{language}` ✅")
- print("=====================\n\n")
- continue
-
- build_kwargs = {
- "language": language.replace("-", "_"),
- "date": date,
- "mirror_url": mirror_url,
- "beam_runner": "DirectRunner",
- # "beam_runner": "apache_beam.runners.dask.dask_runner.DaskRunner",
- }
- if cache_dirpath:
- build_kwargs["cache_dir"] = str(cache_dirpath)
-
- try:
- dsd = load_dataset(
- "./prep/ds_script.py",
- **build_kwargs,
- )
- elapsed = datetime.now() - start_time
- assert isinstance(dsd, DatasetDict)
- print(f"done processing `{language}` (elapsed: {elapsed})")
-
- for split_name, split in dsd.items():
- # With a beam runner, the dataset_size property is not actually
- # the number of bytes.
-
- dataset_size = split.download_size
- assert isinstance(dataset_size, int)
- num_shards = 1 + dataset_size // _MAX_SHARD_SIZE
- print(f"start splitting `{language}` into {num_shards} shards")
-
- shard_filenames = []
- for shard_index in range(num_shards):
- ds_shard = split.shard(num_shards, shard_index)
-
- shard_suffix = f"{shard_index+1:04d}-of-{num_shards:04d}"
- dest_filename = f"{split_name}-{shard_suffix}.parquet"
- shard_filenames.append(dest_filename)
-
- os.makedirs(lang_dest_dirpath, exist_ok=True)
- ds_shard.to_parquet(lang_dest_dirpath / dest_filename)
-
- # Create the info.json file
- info = {"shards": shard_filenames}
- with open(lang_dest_dirpath / "info.json", "w") as f:
- json.dump(info, f)
-
- del dsd
-
- except Exception as e:
- print("❌❌❌❌")
- print(f"error with {language}: {e}")
- print("❌❌❌❌")
-
- gc.collect()
- print(f"done processing `{language}` ✅")
- print("=====================\n\n")
-
-
-if __name__ == "__main__":
-
- def formatter(prog):
- return argparse.HelpFormatter(prog, max_help_position=52)
-
- parser = argparse.ArgumentParser(
- prog="Wikipedia Builder",
- description="Prepares the Wikipedia dataset for each language",
- formatter_class=formatter,
- )
- parser.add_argument(
- "--date",
- help="Wikipedia dump date (e.g. 20230601)",
- default="20230601",
- type=str,
- )
- parser.add_argument(
- "--language",
- help="Language code (e.g. en). Default to processing all languages",
- type=str,
- nargs="*",
- metavar="LANG",
- )
- parser.add_argument(
- "--cache-dir",
- help="Cache directory for 🤗 Datasets",
- default=None,
- metavar="DIR",
- type=str,
- )
- parser.add_argument(
- "--mirror-url",
- help="Mirror URL",
- default="https://dumps.wikimedia.org",
- type=str,
- )
- parser.add_argument(
- "--override", help="Override existing files", action="store_true"
- )
- args = parser.parse_args()
-
- # Prepare the arguments
- if not args.language:
- languages = WIKIPEDIA_LANGUAGES[args.date]
- else:
- languages = args.language
- print("languages to process:", languages)
- dest_dirpath = Path("./data") / args.date
-
- main(
- languages,
- args.date,
- dest_dirpath,
- cache_dirpath=args.cache_dir,
- mirror_url=args.mirror_url,
- override=args.override,
- )
diff --git a/prep/ds_script.py b/prep/ds_script.py
deleted file mode 100644
index a902487ac43dca9462e00f910bd984af9b894e31..0000000000000000000000000000000000000000
--- a/prep/ds_script.py
+++ /dev/null
@@ -1,322 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""Wikipedia dataset containing cleaned articles of all languages."""
-
-
-import bz2
-import codecs
-import json
-import re
-import xml.etree.cElementTree as etree
-from urllib.parse import quote
-
-import datasets
-
-from .category_aliases import CATEGORY_ALIASES
-from .lang_def import WIKIPEDIA_LANGUAGES
-from .media_aliases import MEDIA_ALIASES
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@ONLINE {wikidump,
- author = {Wikimedia Foundation},
- title = {Wikimedia Downloads},
- url = {https://dumps.wikimedia.org}
-}
-"""
-
-_DESCRIPTION = """\
-Wikipedia dataset containing cleaned articles of all languages.
-The datasets are built from the Wikipedia dump
-(https://dumps.wikimedia.org/) with one split per language. Each example
-contains the content of one full Wikipedia article with cleaning to strip
-markdown and unwanted sections (references, etc.).
-"""
-
-_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."
-)
-
-# List of mirrors at https://dumps.wikimedia.org/mirrors.html
-# - default mirror: https://dumps.wikimedia.org
-# yields https://dumps.wikimedia.org/enwiki/20220301/
-# - example: https://ftp.acc.umu.se/mirror/wikimedia.org/dumps/
-# yields https://ftp.acc.umu.se/mirror/wikimedia.org/dumps/enwiki/20220301/
-_BASE_URL_TMPL = "{mirror_url}/{lang}wiki/{date}/"
-_INFO_FILE = "dumpstatus.json"
-
-
-_VERSION = datasets.Version("2.0.0", "")
-
-
-class WikipediaConfig(datasets.BuilderConfig):
- """BuilderConfig for Wikipedia."""
-
- def __init__(
- self,
- language=None,
- date=None,
- mirror_url="https://dumps.wikimedia.org",
- version=_VERSION,
- **kwargs,
- ):
- """BuilderConfig for Wikipedia.
-
- Args:
- language: string, the language code for the Wikipedia dump to use.
- date: string, date of the Wikipedia dump in YYYYMMDD format. A list of
- available dates can be found at https://dumps.wikimedia.org/enwiki/.
- **kwargs: keyword arguments forwarded to super.
- """
- super().__init__(
- name=f"{date}.{language}",
- description=f"Wikipedia dataset for {language}, parsed from {date} dump.",
- version=version,
- **kwargs,
- )
- self.date = date
- self.language = language
- self.mirror_url = mirror_url.rstrip("/")
-
-
-# _DATE = "20220301"
-
-
-class Wikipedia(datasets.BeamBasedBuilder):
- """Wikipedia dataset."""
-
- # Use mirror (your.org) to avoid download caps.
- BUILDER_CONFIG_CLASS = WikipediaConfig
- BUILDER_CONFIGS = [
- WikipediaConfig(
- language=lang,
- date="some future date",
- ) # pylint:disable=g-complex-comprehension
- for lang in WIKIPEDIA_LANGUAGES
- ]
-
- def _info(self):
- return datasets.DatasetInfo(
- description=_DESCRIPTION,
- features=datasets.Features(
- {
- "id": datasets.Value("string"),
- "url": datasets.Value("string"),
- "title": datasets.Value("string"),
- "text": datasets.Value("string"),
- }
- ),
- # No default supervised_keys.
- supervised_keys=None,
- homepage="https://dumps.wikimedia.org",
- citation=_CITATION,
- )
-
- def _split_generators(self, dl_manager, pipeline):
- def _base_url(lang):
- return _BASE_URL_TMPL.format(
- lang=lang.replace("-", "_"),
- date=self.config.date,
- mirror_url=self.config.mirror_url,
- )
-
- lang = self.config.language
-
- info_url = _base_url(lang) + _INFO_FILE
- # Use dictionary since testing mock always returns the same result.
- downloaded_files = dl_manager.download_and_extract({"info": info_url})
-
- xml_urls = []
- total_bytes = 0
- with open(downloaded_files["info"], encoding="utf-8") as f:
- dump_info = json.load(f)
- multistream_dump_info = dump_info["jobs"]["articlesmultistreamdump"]
- assert (
- multistream_dump_info["status"] == "done"
- ), "Specified dump (%s) multistream status is not 'done': %s" % (
- _base_url(lang),
- multistream_dump_info["status"],
- )
-
- for fname, info in multistream_dump_info["files"].items():
- if ".xml" not in fname:
- continue
- total_bytes += info["size"]
- xml_urls.append(_base_url(lang) + fname)
-
- # Use dictionary since testing mock always returns the same result.
- downloaded_files = dl_manager.download({"xml": xml_urls})
- if not pipeline.is_local():
- downloaded_files = dl_manager.ship_files_with_pipeline(
- downloaded_files, pipeline
- )
-
- return [
- datasets.SplitGenerator( # pylint:disable=g-complex-comprehension
- name=datasets.Split.TRAIN,
- gen_kwargs={"filepaths": downloaded_files["xml"], "language": lang},
- )
- ]
-
- def _build_pcollection(self, pipeline, filepaths, language):
- """Build PCollection of examples in the raw (text) form."""
- import apache_beam as beam
- import mwparserfromhell
-
- def _extract_content(filepath):
- """Extracts article content from a single WikiMedia XML file."""
- logger.info("generating examples from = %s", filepath)
- with beam.io.filesystems.FileSystems.open(filepath) as f:
- f = bz2.BZ2File(filename=f)
- # Workaround due to: https://github.com/tensorflow/tensorflow/issues/33563
- utf_f = codecs.getreader("utf-8")(f)
- context = etree.iterparse(utf_f, events=("end",))
- for unused_event, elem in context:
- if not elem.tag.endswith("page"):
- continue
- namespace = elem.tag[:-4]
- title = elem.find(f"./{namespace}title").text
- ns = elem.find(f"./{namespace}ns").text
- id_ = elem.find(f"./{namespace}id").text
- red_ = elem.find(f"./{namespace}redirect")
-
- # Filter pages that are not in the "main" namespace.
- if ns != "0":
- elem.clear()
- continue
-
- raw_content = elem.find(
- f"./{namespace}revision/{namespace}text"
- ).text
- elem.clear()
-
- # Filter redirects.
- if raw_content is None or red_ is not None:
- beam.metrics.Metrics.counter(
- language, "filtered-redirects"
- ).inc()
- continue
-
- beam.metrics.Metrics.counter(language, "extracted-examples").inc()
- yield (id_, title, raw_content)
-
- def _clean_content(inputs, language):
- """Cleans raw wikicode to extract text."""
- id_, title, raw_content = inputs
- try:
- text = _parse_and_clean_wikicode(
- raw_content, parser=mwparserfromhell, language=language
- )
- except mwparserfromhell.parser.ParserError as e:
- beam.metrics.Metrics.counter(language, "parser-error").inc()
- logger.error("mwparserfromhell ParseError: %s", e)
- return
-
- if not text:
- beam.metrics.Metrics.counter(language, "empty-clean-examples").inc()
- return
-
- url = _construct_url(title, language)
-
- beam.metrics.Metrics.counter(language, "cleaned-examples").inc()
-
- yield id_, {"id": id_, "url": url, "title": title, "text": text}
-
- return (
- pipeline
- | "Initialize" >> beam.Create(filepaths)
- | "Extract content" >> beam.FlatMap(_extract_content)
- | "Distribute" >> beam.transforms.Reshuffle()
- | "Clean content" >> beam.FlatMap(_clean_content, language=language)
- )
-
-
-def _parse_and_clean_wikicode(raw_content, parser, language):
- """Strips formatting and unwanted sections from raw page content."""
- wikicode = parser.parse(raw_content)
-
- # Filters for magic words that are parser instructions -- e.g., __NOTOC__
- re_rm_magic = re.compile("__[A-Z]*__", flags=re.UNICODE)
-
- # Filters for file/image links.
- media_prefixes = "|".join(
- ["File", "Image", "Media"] + MEDIA_ALIASES.get(language, [])
- )
- re_rm_wikilink = re.compile(
- f"^(?:{media_prefixes}):", flags=re.IGNORECASE | re.UNICODE
- )
-
- def rm_wikilink(obj):
- return bool(re_rm_wikilink.match(str(obj.title)))
-
- # Filters for references and tables
- def rm_tag(obj):
- return str(obj.tag) in {"ref", "table"}
-
- # Leave category links in-place but remove the category prefixes
- cat_prefixes = "|".join(["Category"] + CATEGORY_ALIASES.get(language, []))
- re_clean_wikilink = re.compile(
- f"^(?:{cat_prefixes}):", flags=re.IGNORECASE | re.UNICODE
- )
-
- def is_category(obj):
- return bool(re_clean_wikilink.match(str(obj.title)))
-
- def clean_wikilink(obj):
- text = obj.__strip__()
- text = re.sub(re_clean_wikilink, "", text)
- obj.text = text
-
- def try_replace_obj(obj):
- try:
- clean_wikilink(obj)
- except ValueError:
- # For unknown reasons, objects are sometimes not found.
- pass
-
- def try_remove_obj(obj, section):
- try:
- section.remove(obj)
- except ValueError:
- # For unknown reasons, objects are sometimes not found.
- pass
-
- section_text = []
- # Filter individual sections to clean.
- for section in wikicode.get_sections(
- flat=True, include_lead=True, include_headings=True
- ):
- for obj in section.ifilter_wikilinks(recursive=True):
- if rm_wikilink(obj):
- try_remove_obj(obj, section)
- elif is_category(obj):
- try_replace_obj(obj)
- for obj in section.ifilter_tags(matches=rm_tag, recursive=True):
- try_remove_obj(obj, section)
-
- section_text.append(re.sub(re_rm_magic, "", section.strip_code().strip()))
- return "\n\n".join(section_text)
-
-
-def _construct_url(title, language):
- # See: https://meta.wikimedia.org/wiki/Help:URL
- return f"https://{language}.wikipedia.org/wiki/{quote(title)}"
diff --git a/prep/lang_def.py b/prep/lang_def.py
deleted file mode 120000
index edc16b7e659d91249453178b0a6ed30fc1a514d7..0000000000000000000000000000000000000000
--- a/prep/lang_def.py
+++ /dev/null
@@ -1 +0,0 @@
-../lang_def.py
\ No newline at end of file
diff --git a/prep/media_aliases.py b/prep/media_aliases.py
deleted file mode 120000
index 93e12e82bc108661b869b21c22fe644ccf0531f3..0000000000000000000000000000000000000000
--- a/prep/media_aliases.py
+++ /dev/null
@@ -1 +0,0 @@
-../media_aliases.py
\ No newline at end of file