# coding=utf-8 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Multilingual Bibles""" import csv import datasets _CITATION = """ @InProceedings{--, author = {---}, title = {---}, booktitle = {---}, year = 2021, address = "---" } """ _DESCRIPTION = """\ Multilingual Bibles """ _HOMEPAGE = "https://github.com/versae/bibles/" BIBLES_BASE_URI = "https://huggingface.co/datasets/versae/bibles/resolve/main" BIBLES = { "validation": lambda config: f"{BIBLES_BASE_URI}/{config}_validation.csv", "test": lambda config: f"{BIBLES_BASE_URI}/{config}_test.csv", "train": lambda config: f"{BIBLES_BASE_URI}/{config}_train.csv" } class BiblesConfig(datasets.BuilderConfig): """BuilderConfig for NorNE.""" def __init__(self, **kwargs): """BuilderConfig for Bibles. Args: **kwargs: keyword arguments forwarded to super. """ super(BiblesConfig, self).__init__(**kwargs) class Bibles(datasets.GeneratorBasedBuilder): """Bibles""" BUILDER_CONFIGS = [ BiblesConfig(name="testament", version=datasets.Version("1.0.0"), description="Bibles testament dataset (full set)"), BiblesConfig(name="genre", version=datasets.Version("1.0.0"), description="Bibles genre dataset (full set)"), BiblesConfig(name="division", version=datasets.Version("1.0.0"), description="Bibles division dataset (full set)"), ] def _info(self): if self.config.name == "division": labels = [ 'Gospel', 'Historical', 'Letters', 'Pentateuch', 'Prophetic', 'Revelation', 'Wisdom' ] languages = [ 'ALB', 'ARA', 'AZB', 'BEL', 'BUL', 'CEB', 'CHI', 'CZE', 'DAN', 'ENG', 'ESP', 'FIN', 'FRE', 'GER', 'GRC', 'HAT', 'HEB', 'HIN', 'HUN', 'ITA', 'KOR', 'LAT', 'MAR', 'NL_', 'NOR', 'POR', 'RUM', 'RUS', 'SCR', 'SPA', 'SWE', 'TAM', 'TGL', 'THA', 'TUR', 'VIE', 'XKL', ] elif self.config.name == "genre": labels = [ 'apocalyptic', 'gospel', 'historical', 'law', 'letter', 'lyric', 'prophecy', 'wisdom' ] languages = [ 'ALB', 'ARA', 'AZB', 'BEL', 'BUL', 'CEB', 'CHI', 'CZE', 'DAN', 'ENG', 'ESP', 'FIN', 'FRE', 'GER', 'GRC', 'HAT', 'HEB', 'HIN', 'HUN', 'ITA', 'KOR', 'LAT', 'MAR', 'NL_', 'NOR', 'POR', 'RUM', 'RUS', 'SCR', 'SPA', 'SWE', 'TAM', 'TGL', 'THA', 'TUR', 'VIE', 'XKL', ] else: # self.config.name == "testament": labels = ["new", "old"] languages = [ 'ALB', 'ARA', 'AZB', 'BEL', 'BUL', 'CEB', 'CHA', 'CHI', 'CZE', 'DAN', 'ENG', 'ESP', 'FIN', 'FRE', 'GER', 'GRC', 'HAT', 'HEB', 'HIN', 'HUN', 'ITA', 'KOR', 'LAT', 'MAR', 'NDS', 'NL_', 'NOR', 'PON', 'POR', 'RUM', 'RUS', 'SCR', 'SPA', 'SWE', 'TAM', 'TGL', 'THA', 'TUR', 'VIE', 'XKL', ] self.labels = labels return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "text": datasets.Value("string"), "label": datasets.ClassLabel(names=labels), "language": datasets.Value("string"), "year": datasets.Value("int16"), "century": datasets.Value("string"), "codebook": datasets.Value("string"), } ), supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, ) def _split_generators(self, dl_manager): URLS = {key: BIBLES[key](self.config.name) for key in BIBLES.keys()} downloaded_files = dl_manager.download(URLS) return [ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}), datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation"]}), datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}), ] def _generate_examples(self, filepath): with open(filepath, encoding="utf-8") as csv_file: csv_reader = csv.reader(csv_file, delimiter=",") next(csv_reader) # skip header for idx, (text, label, language, year, century, codebook) in enumerate(csv_reader): yield int(idx), { "text": text, "label": self.labels.index(label), "language": language, "year": year, "century": century, "codebook": codebook, }