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Upload main script

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  1. bsbasque.py +118 -0
bsbasque.py ADDED
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+ # coding=utf-8
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+ # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """TODO: Add a description here."""
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+
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+ import datasets
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+ import gzip
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+
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+ logger = datasets.logging.get_logger(__name__)
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+
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+ # TODO: Add BibTeX citation
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+ # Find for instance the citation on arxiv or on the dataset repo/website
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+ _CITATION = """\
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+ @InProceedings{huggingface:dataset,
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+ title = {A great new dataset},
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+ author={huggingface, Inc.
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+ },
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+ year={2020}
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+ }
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+ """
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+
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+ _VERSION= "1.1.0"
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+
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+ # TODO: Add description of the dataset here
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+ # You can copy an official description
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+ _DESCRIPTION = """\
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+ BSBasque dataset. The text is extracted from the following domains:
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+
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+ https://www.berria.eus
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+ https://eu.wikipedia.org
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+ https://goiena.eus
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+ https://www.argia.eus
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+ https://goierri.hitza.eus
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+
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+ """
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+
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+ # TODO: Add a link to an official homepage for the dataset here
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+ _HOMEPAGE = "to.be.announced.eus"
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+
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+ # TODO: Add the licence for the dataset here if you can find it
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+ _LICENSE = "CC BY-SA 4.0"
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+
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+ _BASE_DATA_URL_STR = (
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+ "https://ixa2.si.ehu.es/~ccpsoeta/bsbasque/"
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+ )
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+ _BASE_CHECKSUM_FILE_NAME = "bsbasque_sha256.txt"
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+
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+ class BsBasqueConfig(datasets.BuilderConfig):
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+ "BsBasque corpus."
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig for BsBasque.
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+
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+ Args:
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+ **kwargs: Keyword arguments forwarded to super.
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+ """
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+
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+ # Initialize the base class.
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+ name = "bsbasque"
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+ description = "BsBasque dataset"
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+ super(BsBasqueConfig, self).__init__(name=name, description=description, **kwargs)
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+
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+ # Additional attributes
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+ self.base_data_url = _BASE_DATA_URL_STR
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+
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+
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+ # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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+ class BSBasque(datasets.GeneratorBasedBuilder):
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+ """TODO: Short description of my dataset."""
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+
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+ BUILDER_CONFIGS = [
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+ BsBasqueConfig(version=datasets.Version(_VERSION))
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+ ]
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+ BUILDER_CONFIG_CLASS = BsBasqueConfig
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+
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+ def _info(self):
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+ # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features({"id": datasets.Value("int64"), "text": datasets.Value("string")}),
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ license=_LICENSE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager):
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+ checksum_url = self.config.base_data_url + _BASE_CHECKSUM_FILE_NAME
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+ checksum_file = dl_manager.download(checksum_url)
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+ with open(checksum_file, encoding="utf-8") as f:
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+ data_filenames = [line.split("\t")[0] for line in f if line]
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+ data_urls = [self.config.base_data_url + data_filename for data_filename in data_filenames]
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+ downloaded_files = dl_manager.download(data_urls)
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files}),
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+ ]
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+
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+ def _generate_examples(self, filepaths):
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+ """This function returns the examples in the raw (text) form by iterating on all the files."""
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+ id_ = 0
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+ for filepath in filepaths:
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+ logger.info("generating examples from = %s", filepath)
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+ with gzip.open(filepath, "rt") as f:
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+ for line in f:
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+ feature = id_, {"id": id_, "text": "".join(line).rstrip()}
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+ yield feature
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+ id_ += 1