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import os
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import datasets
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logger = datasets.logging.get_logger(__name__)
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_CITATION = """
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@misc{botenanna,
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title = {"Jag känner en bot, hon heter [MASK]. A BERT for older Swedish, and a more usable dataset for historical newspapers"},
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author = {Simon Hengchen}
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year={2023},
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}
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"""
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_DESCRIPTION = """
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This is a version of the Kubhist 2 dataset created, curated and made available by Språkbanken Text (SBX) at the University of Gothenburg (Sweden) under the CC BY 4.0 license.
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This is a a corpus of OCRed newspapers from Sweden spanning the 1640s to the 1900s.
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The original data is available with many types of annotation in XML at https://spraakbanken.gu.se/en/resources/kubhist2.
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A good description of the data is available in this blog entry by Dana Dannélls: https://spraakbanken.gu.se/blogg/index.php/2019/09/15/the-kubhist-corpus-of-swedish-newspapers/
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In a nutshell, this hugginface dataset version offers:
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- only the OCRed text
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- available in decadal subsets
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License is CC BY 4.0 with attribution.
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"""
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_URL = "https://github.com/ChangeIsKey/kubhist2"
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_URLS = {'1640': './text/1640/1640.txt.gz',
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'1650': './text/1650/1650.txt.gz',
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'1660': './text/1660/1660.txt.gz',
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'1670': './text/1670/1670.txt.gz',
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'1680': './text/1680/1680.txt.gz',
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'1690': './text/1690/1690.txt.gz',
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'1700': './text/1700/1700.txt.gz',
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'1710': './text/1710/1710.txt.gz',
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'1720': './text/1720/1720.txt.gz',
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'1730': './text/1730/1730.txt.gz',
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'1740': './text/1740/1740.txt.gz',
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'1750': './text/1750/1750.txt.gz',
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'1760': './text/1760/1760.txt.gz',
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'1770': './text/1770/1770.txt.gz',
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'1780': './text/1780/1780.txt.gz',
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'1790': './text/1790/1790.txt.gz',
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'1800': './text/1800/1800.txt.gz',
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'1810': './text/1810/1810.txt.gz',
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'1820': './text/1820/1820.txt.gz',
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'1830': './text/1830/1830.txt.gz',
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'1840': './text/1840/1840.txt.gz',
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'1850': './text/1850/1850.txt.gz',
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'1860': './text/1860/1860.txt.gz',
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'1870': './text/1870/1870.txt.gz',
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'1880': './text/1880/1880.txt.gz',
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'1890': './text/1890/1890.txt.gz',
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'1900': './text/1900/1900.txt.gz'
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}
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class kubhist2Config(datasets.BuilderConfig):
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"""BuilderConfig for kubhist2."""
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def __init__(self, period="all", **kwargs):
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"""Constructs a kubhist2Dataset.
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Args:
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period: can be any key in _URLS, `all` takes all
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**kwargs: keyword arguments forwarded to super.
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"""
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if str(period) not in _URLS.keys():
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self.period = "all"
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else:
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self.period = str(period)
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super(kubhist2Config, self).__init__(**kwargs)
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class kubhist2(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIG_CLASS = kubhist2Config
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BUILDER_CONFIGS = []
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for key in _URLS:
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BUILDER_CONFIGS.append(
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kubhist2Config(
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name=key,
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version=datasets.Version("1.0.0", ""),
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description=f"Kubhist2: {key}",
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period=key,
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)
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)
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BUILDER_CONFIGS.append(
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kubhist2Config(
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name="all",
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version=datasets.Version("1.0.0", ""),
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description=f"Kubhist2: all",
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period="all",
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)
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)
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DEFAULT_CONFIG_NAME = "all"
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def _info(self):
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f = datasets.Features(
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{
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"text": datasets.Value("string")
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}
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)
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return datasets.DatasetInfo(
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features=f,
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supervised_keys=None,
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homepage="https://github.com/ChangeIsKey",
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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if self.config.period != "all":
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url = {"train" : _URLS[self.config.period]}
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downloaded_files = dl_manager.download_and_extract(url)
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
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elif self.config.period == "all":
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url = {"train" : './text/all/all.txt.gz'}
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downloaded_files = dl_manager.download_and_extract(url)
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return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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with open(filepath) as f:
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for i, line in enumerate(f):
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yield i, {"text" : line.rstrip()}
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