Datasets:
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Delete loading script
Browse files- bbaw_egyptian.py +0 -89
bbaw_egyptian.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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""" Middle Egyptian dataset as used in the paper """
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import json
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import datasets
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_CITATION = """\
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@misc{OPUS4-2919,
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title = {Teilauszug der Datenbank des Vorhabens "Strukturen und Transformationen des Wortschatzes der {\"a}gyptischen Sprache" vom Januar 2018},
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institution = {Akademienvorhaben Strukturen und Transformationen des Wortschatzes der {\"a}gyptischen Sprache. Text- und Wissenskultur im alten {\"A}gypten},
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type = {other},
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year = {2018},
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}
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"""
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_DESCRIPTION = """\
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This dataset comprises parallel sentences of hieroglyphic encodings, transcription and translation
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as used in the paper Multi-Task Modeling of Phonographic Languages: Translating Middle Egyptian
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Hieroglyph. The data triples are extracted from the digital corpus of Egyptian texts compiled by
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the project "Strukturen und Transformationen des Wortschatzes der ägyptischen Sprache".
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"""
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_HOMEPAGE = "https://edoc.bbaw.de/frontdoor/index/index/docId/2919"
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_LICENSE = "Creative Commons-Lizenz - CC BY-SA - 4.0 International"
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class BbawEgyptian(datasets.GeneratorBasedBuilder):
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"""
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The project `Strukturen und Transformationen des Wortschatzes der ägyptischen Sprache`
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is compiling an extensively annotated digital corpus of Egyptian texts.
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This publication comprises an excerpt of the internal database's contents.
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"""
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_URL = "https://phiwi.github.io/"
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_URLS = {"all": _URL + "all.json"}
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def _info(self):
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features = datasets.Features(
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{
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"transcription": datasets.Value("string"),
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"translation": datasets.Value("string"),
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"hieroglyphs": datasets.Value("string"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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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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"""Returns SplitGenerators."""
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my_urls = self._URLS
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data_dir = dl_manager.download(my_urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={"filepath": data_dir["all"]},
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)
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]
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def _generate_examples(self, filepath):
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"""Yields examples as (key, example) tuples."""
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with open(filepath, "r", encoding="utf-8") as f:
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data = json.load(f)
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for id_, row in enumerate(data):
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yield id_, {
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"translation": row["translation"],
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"transcription": row["transcription"],
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"hieroglyphs": row["hieroglyphs"],
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}
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