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- eu_wikipedias.py +121 -0
README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- crowdsourced
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pretty_name: Wikipedia
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paperswithcode_id: null
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license:
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- cc-by-sa-3.0
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- gfdl
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task_categories:
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- text-generation
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- fill-mask
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task_ids:
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- language-modeling
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- masked-language-modeling
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source_datasets:
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- original
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multilinguality:
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- multilingual
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size_categories:
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- n<1K
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- 1K<n<10K
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- 10K<n<100K
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- 100K<n<1M
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- 1M<n<10M
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language:
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- bg
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- cs
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- da
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- de
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- el
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- en
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- es
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- et
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- fi
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- fr
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- ga
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- hr
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- hu
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- it
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- lt
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- lv
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- mt
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- nl
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- pl
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- pt
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- ro
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- sk
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- sl
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- sv
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---
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# Dataset Card for Wikipedia
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This repo is a wrapper around [olm/wikipedia](https://huggingface.co/datasets/olm/wikipedia) that just concatenates data from the EU languages.
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Please refer to it for a complete data card.
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The EU languages we include are:
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- bg
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- cs
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- da
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- de
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- el
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- en
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- es
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- et
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- fi
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- fr
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- ga
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- hr
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- hu
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- it
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- lt
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- lv
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- mt
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- nl
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- pl
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- pt
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- ro
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- sk
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- sl
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- sv
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As with `olm/wikipedia` you will need to install a few dependencies:
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```
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pip install mwparserfromhell==0.6.4 multiprocess==0.70.13
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```
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```python
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from datasets import load_dataset
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load_dataset("dlwh/eu_wikipedias", date="20221101")
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```
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Please refer to the original olm/wikipedia for a complete data card.
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eu_wikipedias.py
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# This is a huggingface dataset script to load wikipedias for the eu languages using olm/wikipedia
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# https://huggingface.co/datasets/olm/wikipedia/blob/main/wikipedia.py
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import datasets
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from datasets import DatasetDict
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """\
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@ONLINE {wikidump,
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author = {Wikimedia Foundation},
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title = {Wikimedia Downloads},
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url = {https://dumps.wikimedia.org}
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}
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"""
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_DESCRIPTION = """\
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Wikipedia dataset containing cleaned articles of all languages.
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The datasets are built from the Wikipedia dump
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(https://dumps.wikimedia.org/) with one split per language. Each example
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contains the content of one full Wikipedia article with cleaning to strip
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markdown and unwanted sections (references, etc.).
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"""
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_LICENSE = (
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"This work is licensed under the Creative Commons Attribution-ShareAlike "
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"3.0 Unported License. To view a copy of this license, visit "
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"http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to "
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"Creative Commons, PO Box 1866, Mountain View, CA 94042, USA."
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)
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_VERSION = datasets.Version("1.0.0", "")
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eu_languages = [
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"bg",
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"cs",
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# "da",
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# "de",
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# "el",
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# "en",
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# "es",
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# "et",
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# "fi",
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# "fr",
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# "ga",
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# "hr",
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# "hu",
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# "it",
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# "lt",
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# "lv",
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# "mt",
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# "nl",
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# "pl",
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# "pt",
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# "ro",
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# "sk",
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# "sl",
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# "sv",
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]
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class WikipediaConfig(datasets.BuilderConfig):
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"""BuilderConfig for EuWikipedia."""
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def __init__(self, date=None, version=_VERSION, **kwargs):
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"""BuilderConfig for Wikipedia.
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Args:
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date: string, date of the Wikipedia dump in YYYYMMDD format. A list of
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available dates can be found at https://dumps.wikimedia.org/enwiki/.
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**kwargs: keyword arguments forwarded to super.
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"""
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super().__init__(
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name=f"{date}",
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description=f"Wikipedia dataset for EU languages, parsed from {date} dump.",
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version=version,
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**kwargs,
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)
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self.date = date
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_DATE = "20221101"
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class EuWikipedia(datasets.GeneratorBasedBuilder):
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"""Wikipedia dataset."""
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# Use mirror (your.org) to avoid download caps.
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BUILDER_CONFIG_CLASS = WikipediaConfig
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BUILDER_CONFIGS = [WikipediaConfig(date=_DATE,)]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"id": datasets.Value("string"),
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"url": datasets.Value("string"),
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"title": datasets.Value("string"),
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"text": datasets.Value("string"),
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}
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),
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# No default supervised_keys.
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supervised_keys=None,
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homepage="https://dumps.wikimedia.org",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"date": self.config.date}
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)
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]
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def _generate_examples(self, date):
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# defer to olm/wikipedia
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for lang in eu_languages:
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for example in datasets.load_dataset("olm/wikipedia", language=lang, date=date):
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yield example
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