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Browse files- bsbasque.py +118 -0
bsbasque.py
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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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import datasets
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import gzip
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logger = datasets.logging.get_logger(__name__)
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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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_VERSION= "1.1.0"
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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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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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# 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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# 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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_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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class BsBasqueConfig(datasets.BuilderConfig):
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"BsBasque corpus."
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def __init__(self, **kwargs):
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"""BuilderConfig for BsBasque.
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Args:
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**kwargs: Keyword arguments forwarded to super.
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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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# Additional attributes
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self.base_data_url = _BASE_DATA_URL_STR
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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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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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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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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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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
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