Update files from the datasets library (from 1.0.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

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dataset_infos.json

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wikipedia.py

@@ -0,0 +1,563 @@
+# 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."""
+
+from __future__ import absolute_import, division, print_function
+
+import codecs
+import json
+import logging
+import re
+import xml.etree.cElementTree as etree
+
+import six
+
+import datasets
+
+
+if six.PY3:
+    import bz2  # pylint:disable=g-import-not-at-top
+else:
+    # py2's built-in bz2 package does not support reading from file objects.
+    import bz2file as bz2  # pylint:disable=g-import-not-at-top
+
+_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."
+)
+
+# Source: https://en.wikipedia.org/wiki/List_of_Wikipedias (accessed 3/1/2019)
+# Removed because no articles: hz.
+WIKIPEDIA_LANGUAGES = [
+    "aa",
+    "ab",
+    "ace",
+    "ady",
+    "af",
+    "ak",
+    "als",
+    "am",
+    "an",
+    "ang",
+    "ar",
+    "arc",
+    "arz",
+    "as",
+    "ast",
+    "atj",
+    "av",
+    "ay",
+    "az",
+    "azb",
+    "ba",
+    "bar",
+    "bat-smg",
+    "bcl",
+    "be",
+    "be-x-old",
+    "bg",
+    "bh",
+    "bi",
+    "bjn",
+    "bm",
+    "bn",
+    "bo",
+    "bpy",
+    "br",
+    "bs",
+    "bug",
+    "bxr",
+    "ca",
+    "cbk-zam",
+    "cdo",
+    "ce",
+    "ceb",
+    "ch",
+    "cho",
+    "chr",
+    "chy",
+    "ckb",
+    "co",
+    "cr",
+    "crh",
+    "cs",
+    "csb",
+    "cu",
+    "cv",
+    "cy",
+    "da",
+    "de",
+    "din",
+    "diq",
+    "dsb",
+    "dty",
+    "dv",
+    "dz",
+    "ee",
+    "el",
+    "eml",
+    "en",
+    "eo",
+    "es",
+    "et",
+    "eu",
+    "ext",
+    "fa",
+    "ff",
+    "fi",
+    "fiu-vro",
+    "fj",
+    "fo",
+    "fr",
+    "frp",
+    "frr",
+    "fur",
+    "fy",
+    "ga",
+    "gag",
+    "gan",
+    "gd",
+    "gl",
+    "glk",
+    "gn",
+    "gom",
+    "gor",
+    "got",
+    "gu",
+    "gv",
+    "ha",
+    "hak",
+    "haw",
+    "he",
+    "hi",
+    "hif",
+    "ho",
+    "hr",
+    "hsb",
+    "ht",
+    "hu",
+    "hy",
+    "ia",
+    "id",
+    "ie",
+    "ig",
+    "ii",
+    "ik",
+    "ilo",
+    "inh",
+    "io",
+    "is",
+    "it",
+    "iu",
+    "ja",
+    "jam",
+    "jbo",
+    "jv",
+    "ka",
+    "kaa",
+    "kab",
+    "kbd",
+    "kbp",
+    "kg",
+    "ki",
+    "kj",
+    "kk",
+    "kl",
+    "km",
+    "kn",
+    "ko",
+    "koi",
+    "krc",
+    "ks",
+    "ksh",
+    "ku",
+    "kv",
+    "kw",
+    "ky",
+    "la",
+    "lad",
+    "lb",
+    "lbe",
+    "lez",
+    "lfn",
+    "lg",
+    "li",
+    "lij",
+    "lmo",
+    "ln",
+    "lo",
+    "lrc",
+    "lt",
+    "ltg",
+    "lv",
+    "mai",
+    "map-bms",
+    "mdf",
+    "mg",
+    "mh",
+    "mhr",
+    "mi",
+    "min",
+    "mk",
+    "ml",
+    "mn",
+    "mr",
+    "mrj",
+    "ms",
+    "mt",
+    "mus",
+    "mwl",
+    "my",
+    "myv",
+    "mzn",
+    "na",
+    "nah",
+    "nap",
+    "nds",
+    "nds-nl",
+    "ne",
+    "new",
+    "ng",
+    "nl",
+    "nn",
+    "no",
+    "nov",
+    "nrm",
+    "nso",
+    "nv",
+    "ny",
+    "oc",
+    "olo",
+    "om",
+    "or",
+    "os",
+    "pa",
+    "pag",
+    "pam",
+    "pap",
+    "pcd",
+    "pdc",
+    "pfl",
+    "pi",
+    "pih",
+    "pl",
+    "pms",
+    "pnb",
+    "pnt",
+    "ps",
+    "pt",
+    "qu",
+    "rm",
+    "rmy",
+    "rn",
+    "ro",
+    "roa-rup",
+    "roa-tara",
+    "ru",
+    "rue",
+    "rw",
+    "sa",
+    "sah",
+    "sat",
+    "sc",
+    "scn",
+    "sco",
+    "sd",
+    "se",
+    "sg",
+    "sh",
+    "si",
+    "simple",
+    "sk",
+    "sl",
+    "sm",
+    "sn",
+    "so",
+    "sq",
+    "sr",
+    "srn",
+    "ss",
+    "st",
+    "stq",
+    "su",
+    "sv",
+    "sw",
+    "szl",
+    "ta",
+    "tcy",
+    "te",
+    "tet",
+    "tg",
+    "th",
+    "ti",
+    "tk",
+    "tl",
+    "tn",
+    "to",
+    "tpi",
+    "tr",
+    "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",
+]
+
+_BASE_URL_TMPL = "https://dumps.wikimedia.org/{lang}wiki/{date}/"
+_INFO_FILE = "dumpstatus.json"
+
+
+class WikipediaConfig(datasets.BuilderConfig):
+    """BuilderConfig for Wikipedia."""
+
+    def __init__(self, language=None, date=None, **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(WikipediaConfig, self).__init__(
+            name="{0}.{1}".format(date, language),
+            description="Wikipedia dataset for {0}, parsed from {1} dump.".format(language, date),
+            **kwargs,
+        )
+        self.date = date
+        self.language = language
+
+
+_VERSION = datasets.Version("1.0.0", "")
+
+
+class Wikipedia(datasets.BeamBasedBuilder):
+    """Wikipedia dataset."""
+
+    # Use mirror (your.org) to avoid download caps.
+
+    BUILDER_CONFIGS = [
+        WikipediaConfig(
+            version=_VERSION,
+            language=lang,
+            date="20200501",
+        )  # pylint:disable=g-complex-comprehension
+        for lang in WIKIPEDIA_LANGUAGES
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({"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)
+
+        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."""
+            logging.info("generating examples from = %s", filepath)
+            with beam.io.filesystems.FileSystems.open(filepath) as f:
+                f = bz2.BZ2File(filename=f)
+                if six.PY3:
+                    # Workaround due to:
+                    # https://github.com/tensorflow/tensorflow/issues/33563
+                    utf_f = codecs.getreader("utf-8")(f)
+                else:
+                    utf_f = f
+
+                # To clear root, to free-up more memory than just `elem.clear()`.
+                context = etree.iterparse(utf_f, events=("end",))
+                context = iter(context)
+                unused_event, root = next(context)
+                for unused_event, elem in context:
+                    if not elem.tag.endswith("page"):
+                        continue
+                    namespace = elem.tag[:-4]
+                    title = elem.find("./{0}title".format(namespace)).text
+                    ns = elem.find("./{0}ns".format(namespace)).text
+                    id_ = elem.find("./{0}id".format(namespace)).text
+
+                    # Filter pages that are not in the "main" namespace.
+                    if ns != "0":
+                        root.clear()
+                        continue
+
+                    raw_content = elem.find("./{0}revision/{0}text".format(namespace)).text
+                    root.clear()
+
+                    # Filter redirects.
+                    if raw_content is None or raw_content.lower().startswith("#redirect"):
+                        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):
+            """Cleans raw wikicode to extract text."""
+            id_, title, raw_content = inputs
+            try:
+                text = _parse_and_clean_wikicode(raw_content, parser=mwparserfromhell)
+            except (mwparserfromhell.parser.ParserError) as e:
+                beam.metrics.Metrics.counter(language, "parser-error").inc()
+                logging.error("mwparserfromhell ParseError: %s", e)
+                return
+
+            if not text:
+                beam.metrics.Metrics.counter(language, "empty-clean-examples").inc()
+                return
+
+            beam.metrics.Metrics.counter(language, "cleaned-examples").inc()
+
+            yield id_, {"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)
+        )
+
+
+def _parse_and_clean_wikicode(raw_content, parser):
+    """Strips formatting and unwanted sections from raw page content."""
+    wikicode = parser.parse(raw_content)
+
+    # Filters for references, tables, and file/image links.
+    re_rm_wikilink = re.compile("^(?:File|Image|Media):", flags=re.IGNORECASE | re.UNICODE)
+
+    def rm_wikilink(obj):
+        return bool(re_rm_wikilink.match(six.text_type(obj.title)))
+
+    def rm_tag(obj):
+        return six.text_type(obj.tag) in {"ref", "table"}
+
+    def rm_template(obj):
+        return obj.name.lower() in {"reflist", "notelist", "notelist-ua", "notelist-lr", "notelist-ur", "notelist-lg"}
+
+    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(matches=rm_wikilink, recursive=True):
+            try_remove_obj(obj, section)
+        for obj in section.ifilter_templates(matches=rm_template, recursive=True):
+            try_remove_obj(obj, section)
+        for obj in section.ifilter_tags(matches=rm_tag, recursive=True):
+            try_remove_obj(obj, section)
+
+        section_text.append(section.strip_code().strip())
+    return "\n\n".join(section_text)