Datasets:
Tasks:
Translation
Size Categories:
1M<n<10M
Language Creators:
expert-generated
Annotations Creators:
no-annotation
Source Datasets:
original
License:
update language listing
Browse files- biblenlp-corpus.py +337 -337
biblenlp-corpus.py
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# coding=utf-8
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# Copyright 2020 HuggingFace Datasets Authors.
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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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# Lint as: python3
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import os
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import datasets
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from tqdm import tqdm
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import numpy as np
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import ijson
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_VERSION = "0.0.2"
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_LANGUAGES = ['aau', 'aaz', 'abx', 'aby', 'acf', 'acu', 'adz', 'aey', 'agd', 'agg', 'agm', 'agn', 'agr', 'agu', 'aia', 'ake', 'alp', 'alq', 'als', 'aly', 'ame', 'amk', 'amp', 'amr', 'amu', 'anh', 'anv', 'aoi', 'aoj', 'apb', 'apn', 'apu', '
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_DESCRIPTION = "Bible Parallel Corpus"
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_HOMEPAGE = 'https://github.com/BibleNLP/ebible-corpus'
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_PAIR = 'all'
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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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_LICENSE = 'Creative Commons and Public Domain, specified in the dataset'
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_FILES = {'corpus':'corpus.json','vref':'vref.txt'}
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class BiblenlpCorpusConfig(datasets.BuilderConfig):
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def __init__(self, languages=[], pair='all', **kwargs):
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'''
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languages: list of languages to include
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pair: 'all', 'range', or 'single' to specify whether verse ranges, single pairings, or all pairs are included
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**kwargs: additional arguments to pass to the superclass'''
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super(BiblenlpCorpusConfig, self).__init__(name=f'{"-".join([x for x in languages])}', **kwargs)
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self.languages = languages
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self.pair = pair
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class BiblenlpCorpus(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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BiblenlpCorpusConfig(
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languages=_LANGUAGES,
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pair=_PAIR,
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description = f'Parallel Bible verses with {_PAIR} pairings of {"-".join([x for x in _LANGUAGES])} languages',
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)
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]
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BUILDER_CONFIG_CLASS = BiblenlpCorpusConfig
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"translation": datasets.features.TranslationVariableLanguages(languages=_LANGUAGES),
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"files": datasets.features.Sequence( {'lang':datasets.Value("string"), 'file':datasets.Value("string")} ),
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"ref": datasets.features.Sequence( datasets.Value("string") ),
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"licenses": datasets.features.Sequence( datasets.Value("string") ),
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"copyrights": datasets.features.Sequence( datasets.Value("string") )
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},
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),
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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license=_LICENSE,
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version=_VERSION
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) #
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def _split_generators(self, dl_manager):
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downloaded_files = dl_manager.download(_FILES)
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def parse_json(json_filename, langs):
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with open(json_filename, 'rb') as input_file:
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# load json iteratively
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parser = ijson.parse(input_file)
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parsed_dict = {lang: [] for lang in langs}
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idx = {lang: -1 for lang in langs}
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for prefix, event, value in parser:
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#print(f'prefix:{prefix}, event:{event}, value:{value}')
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if any([prefix.startswith(f'{lang}.') for lang in langs]):
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#print(f'prefix:{prefix}, event:{event}, value:{value}')
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if event == 'start_map':
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idx[prefix.split('.')[0]] += 1
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tmpdict ={}
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tmpdict['verses']=[]
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if prefix.endswith('verses.item'):
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tmpdict['verses'].append(value)
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if prefix.endswith('copyright'):
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tmpdict['copyright'] = value
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if prefix.endswith('text'):
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tmpdict['text'] = value
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if prefix.endswith('file'):
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tmpdict['file'] = value
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if prefix.endswith('license'):
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tmpdict['license'] = value
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if event == 'end_map':
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#write the dictionary
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parsed_dict[prefix.split('.')[0]].append( tmpdict.copy() )
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return(parsed_dict)
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def define_splits(corpus_slice, langs):
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verse2split = {}
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langtexts = {}
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textverses = {}
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vindexes = {}
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vgroups = []
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versesets ={}
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np.random.seed(42)
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for lang in tqdm(langs):
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langtexts[lang] = set()
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textverses[lang]={}
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vindexes[lang]={}
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for idx,line in enumerate(corpus_slice[lang]):
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langtexts[lang].add(line['file'])
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for v in line['verses']:
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if not textverses[lang].get(line['file']):
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textverses[lang][line['file']] = set()
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textverses[lang][line['file']].add(v)
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if not vindexes[lang].get(v):
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vindexes[lang][v] = [idx]
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else:
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vindexes[lang][v].append(idx)
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#print(list(vindexes['eng'].keys())[0:10])
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#for f in langtexts['eng']:
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# print(len(textverses['eng'][f]))
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for line in tqdm(corpus_slice[langs[0]]):
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versesets = {line['file']:line['verses']}
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if any([verse2split.get(z) for z in line['verses']]):
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for verse in line['verses']:
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if verse2split.get(verse):
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prevsplit = verse2split.get(verse)
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break
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split = prevsplit
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else:
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split = np.random.choice(['train','test','dev'],p=[.9,.05,.05])
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if not all([verse2split.get(z) for z in line['verses']]):
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all_verses = set()
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for v in line['verses']:
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all_verses.add(v)
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while True:
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verses_added = False
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idxes = {k:set() for k in langs}
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#get indexes for verses
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for v in all_verses:
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for lang in langs:
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if vindexes[lang].get(v):
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for idx in vindexes[lang][v]:
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idxes[lang].add(idx)
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for lang in langs:
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for compline in [corpus_slice[lang][x] for x in idxes[lang] if x != set()]:
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if all(x in textverses[lang][compline['file']] for x in all_verses) and any([x in list(all_verses) for x in compline['verses']]):
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if not versesets.get(compline['file']):
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versesets[compline['file']] = compline['verses'].copy()
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else:
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versesets[compline['file']].extend(compline['verses'].copy())
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for v in compline['verses']:
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pre_size = len(all_verses)
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all_verses.add(v)
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if len(all_verses) > pre_size:
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verses_added = True
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if verses_added == False or all([set(versesets[q]) == all_verses for q in versesets.keys()]):
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vgroups.append(all_verses)
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for v in all_verses:
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verse2split[v] = split
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break
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return(vgroups,vindexes, verse2split)
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corpus_slice = parse_json(downloaded_files['corpus'], self.config.languages)
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vgroups, vindexes, verse2split = define_splits(corpus_slice, self.config.languages)
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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={
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'langs': self.config.languages,
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'corpus': corpus_slice,
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'vgroups': vgroups,
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'vindexes': vindexes,
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'v2split': verse2split,
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'split': 'train',
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'vref': downloaded_files['vref'],
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}
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),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION,
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gen_kwargs={
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'langs': self.config.languages,
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'corpus': corpus_slice,
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'vgroups': vgroups,
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'vindexes': vindexes,
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'v2split': verse2split,
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'split': 'dev',
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'vref': downloaded_files['vref'],
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}
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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'langs': self.config.languages,
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'corpus': corpus_slice,
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'vgroups': vgroups,
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'vindexes': vindexes,
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'v2split': verse2split,
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'split': 'test',
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'vref': downloaded_files['vref'],
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}
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),
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]
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def _generate_examples(self, vref, corpus, vgroups, vindexes, v2split, split, langs):
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#print(f'Generating {split} examples...')
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with open(vref, 'r') as txtfile:
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#print('file opened')
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lines = txtfile.readlines()
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#print('lines read')
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verse2index = {k.strip():v for v,k in enumerate(lines) if k.strip() != ''}
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#print('v2i created')
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def order_verses(verse_list):
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lines_list = [int(verse2index[x]) for x in verse_list]
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verse_order = np.argsort(lines_list)
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return(verse_order)
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trans_license = {}
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trans_copyright = {}
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id = -1
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#print(f'beginning groups, starting with {list(vgroups)[0]}')
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for group in vgroups:
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#print(group)
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if v2split.get(list(group)[0]) == split:
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#print('correct split')
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if len(group) > 1:
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v_order = order_verses(group)
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o_group = list(np.array(list(group))[v_order])
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else:
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o_group = list(group)
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trans_dict={k:{} for k in langs}
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trans_texts = {k:{} for k in langs}
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used_idxes = {k:[] for k in langs}
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for v in o_group:
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#print(f'trying verse {v}')
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single_texts = {k:{} for k in langs}
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single_dict = {k:{} for k in langs}
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for lang in langs:
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if vindexes[lang].get(v):
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try:
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for i in range(0,len(list(vindexes[lang][v]))):
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if list(vindexes[lang][v])[i] not in used_idxes[lang]:
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used_idxes[lang].append(vindexes[lang][v])
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line = corpus[lang][vindexes[lang][v][i]]
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if not trans_texts.get(line['file']):
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trans_texts[lang][line['file']]=line['text']
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else:
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trans_texts[lang][line['file']] += f' {line["text"]}'
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if line.get('license'):
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trans_license[line['file']]=line['license']
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if line.get('copyright'):
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trans_copyright[line['file']]=line['copyright']
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if len(line['verses']) == 1:
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single_texts[lang][line['file']] = line['text']
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except:
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print(lang,v)
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raise
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single_dict[lang]=list(single_texts[lang].values())
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trans_dict[lang]=list(trans_texts[lang].values())
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single_file = {x:list(single_texts[x].keys()) for x in langs}
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sing_v_order = {x:np.argsort(list(single_texts[x].values())) for x in langs}
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| 296 |
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lang_order = np.argsort(langs)
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| 297 |
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single_lic_list =[]
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| 298 |
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single_copy_list = []
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| 299 |
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for lang in [langs[x] for x in lang_order]:
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single_lic_list.extend([trans_license.get(single_file[lang][x],'') for x in sing_v_order[lang]])
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single_copy_list.extend([trans_copyright.get(single_file[lang][x],'') for x in sing_v_order[lang]])
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if all([single_dict.get(x) and single_dict.get(x) != [{}] and list(single_dict.get(x)) for x in langs]) and len(list(single_dict.keys())) == len(langs) and self.config.pair != 'range':
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id = id + 1
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| 304 |
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sfile_list = []
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| 305 |
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for key in [langs[x] for x in lang_order]:
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| 306 |
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for value in [single_file.get(key)[x] for x in sing_v_order.get(key)]:
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| 307 |
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sfile_list.append({'lang':key,'file':value})
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| 308 |
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| 309 |
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#print('outputting single example')
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| 310 |
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# print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
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try:
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| 312 |
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yield(id, {'translation': single_dict, 'files': sfile_list, 'ref':[v], 'licenses':single_lic_list, 'copyrights':single_copy_list})
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| 313 |
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except:
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| 314 |
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print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
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| 315 |
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raise
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| 316 |
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| 317 |
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file_list = {x:list(trans_texts[x].keys()) for x in langs}
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| 318 |
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trans_v_order = {x:np.argsort(list(trans_texts[x].values())) for x in langs}
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| 319 |
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lang_order = np.argsort(langs)
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| 320 |
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#license_list = [trans_license.get(x,'') for x in [y for y in file_list.values()]]
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| 321 |
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#copyright_list = [trans_copyright.get(x,'') for x in [y for y in file_list.values()]]
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| 322 |
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license_list = []
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| 323 |
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copyright_list = []
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| 324 |
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for lang in [langs[x] for x in lang_order]:
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| 325 |
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license_list.extend([trans_license.get(file_list[lang][x],'') for x in trans_v_order[lang]])
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| 326 |
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copyright_list .extend([trans_copyright.get(file_list[lang][x],'') for x in trans_v_order[lang]])
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if len(o_group)>1 and all([trans_dict.get(x) and trans_dict.get(x) != [{}] and list(trans_dict.get(x)) for x in langs]) and len(list(trans_dict.keys())) == len(langs) and self.config.pair != 'single':
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| 328 |
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id = id + 1
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| 329 |
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ofile_list = []
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| 330 |
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for key in [langs[x] for x in lang_order]:
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| 331 |
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for value in [file_list.get(key)[x] for x in trans_v_order.get(key)]:
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ofile_list.append({'lang':key,'file':value})
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| 333 |
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#print('outputting range example')
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try:
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yield(id, {'translation': trans_dict, 'files': ofile_list, 'ref':o_group, 'licenses':license_list, 'copyrights':copyright_list})
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| 336 |
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except:
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| 337 |
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print(id, trans_dict, ofile_list, o_group, license_list, copyright_list)
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| 338 |
raise
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# coding=utf-8
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# Copyright 2020 HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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| 5 |
+
# you may not use this file except in compliance with the License.
|
| 6 |
+
# You may obtain a copy of the License at
|
| 7 |
+
#
|
| 8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
| 9 |
+
#
|
| 10 |
+
# Unless required by applicable law or agreed to in writing, software
|
| 11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
| 12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 13 |
+
# See the License for the specific language governing permissions and
|
| 14 |
+
# limitations under the License.
|
| 15 |
+
|
| 16 |
+
# Lint as: python3
|
| 17 |
+
import os
|
| 18 |
+
|
| 19 |
+
import datasets
|
| 20 |
+
from tqdm import tqdm
|
| 21 |
+
import numpy as np
|
| 22 |
+
import ijson
|
| 23 |
+
|
| 24 |
+
_VERSION = "0.0.2"
|
| 25 |
+
_LANGUAGES = ['aai', 'aak', 'aau', 'aaz', 'abt', 'abx', 'aby', 'acf', 'acr', 'acu', 'adz', 'aer', 'aey', 'agd', 'agg', 'agm', 'agn', 'agr', 'agt', 'agu', 'aia', 'aii', 'aka', 'ake', 'alp', 'alq', 'als', 'aly', 'ame', 'amf', 'amk', 'amm', 'amn', 'amo', 'amp', 'amr', 'amu', 'amx', 'anh', 'anv', 'aoi', 'aoj', 'aom', 'aon', 'apb', 'ape', 'apn', 'apr', 'apu', 'apw', 'apz', 'arb', 'are', 'arl', 'arn', 'arp', 'asm', 'aso', 'ata', 'atb', 'atd', 'atg', 'att', 'auc', 'aui', 'auy', 'avt', 'awb', 'awk', 'awx', 'azb', 'azg', 'azz', 'bao', 'bba', 'bbb', 'bbr', 'bch', 'bco', 'bdd', 'bea', 'bef', 'bel', 'ben', 'beo', 'beu', 'bgs', 'bgt', 'bhg', 'bhl', 'big', 'bjk', 'bjp', 'bjr', 'bjv', 'bjz', 'bkd', 'bki', 'bkq', 'bkx', 'bla', 'blw', 'blz', 'bmh', 'bmk', 'bmr', 'bmu', 'bnp', 'boa', 'boj', 'bon', 'box', 'bpr', 'bps', 'bqc', 'bqp', 'bre', 'bsj', 'bsn', 'bsp', 'bss', 'buk', 'bus', 'bvd', 'bvr', 'bxh', 'byr', 'byx', 'bzd', 'bzh', 'bzj', 'caa', 'cab', 'cac', 'caf', 'cak', 'cao', 'cap', 'car', 'cav', 'cax', 'cbc', 'cbi', 'cbk', 'cbr', 'cbs', 'cbt', 'cbu', 'cbv', 'cco', 'ceb', 'cek', 'ces', 'cgc', 'cha', 'chd', 'chf', 'chk', 'chq', 'chz', 'cjo', 'cjv', 'ckb', 'cle', 'clu', 'cme', 'cmn', 'cni', 'cnl', 'cnt', 'cof', 'con', 'cop', 'cot', 'cpa', 'cpb', 'cpc', 'cpu', 'cpy', 'crn', 'crx', 'cso', 'csy', 'cta', 'cth', 'ctp', 'ctu', 'cub', 'cuc', 'cui', 'cuk', 'cut', 'cux', 'cwe', 'cya', 'daa', 'dad', 'dah', 'dan', 'ded', 'deu', 'dgc', 'dgr', 'dgz', 'dhg', 'dif', 'dik', 'dji', 'djk', 'djr', 'dob', 'dop', 'dov', 'dwr', 'dww', 'dwy', 'ebk', 'eko', 'emi', 'emp', 'eng', 'enq', 'epo', 'eri', 'ese', 'esk', 'etr', 'ewe', 'faa', 'fai', 'far', 'ffm', 'for', 'fra', 'fue', 'fuf', 'fuh', 'gah', 'gai', 'gam', 'gaw', 'gdn', 'gdr', 'geb', 'gfk', 'ghs', 'glk', 'gmv', 'gng', 'gnn', 'gnw', 'gof', 'grc', 'gub', 'guh', 'gui', 'guj', 'gul', 'gum', 'gun', 'guo', 'gup', 'gux', 'gvc', 'gvf', 'gvn', 'gvs', 'gwi', 'gym', 'gyr', 'hat', 'hau', 'haw', 'hbo', 'hch', 'heb', 'heg', 'hin', 'hix', 'hla', 'hlt', 'hmo', 'hns', 'hop', 'hot', 'hrv', 'hto', 'hub', 'hui', 'hun', 'hus', 'huu', 'huv', 'hvn', 'ian', 'ign', 'ikk', 'ikw', 'ilo', 'imo', 'inb', 'ind', 'ino', 'iou', 'ipi', 'isn', 'ita', 'iws', 'ixl', 'jac', 'jae', 'jao', 'jic', 'jid', 'jiv', 'jni', 'jpn', 'jvn', 'kan', 'kaq', 'kbc', 'kbh', 'kbm', 'kbq', 'kdc', 'kde', 'kdl', 'kek', 'ken', 'kew', 'kgf', 'kgk', 'kgp', 'khs', 'khz', 'kik', 'kiw', 'kiz', 'kje', 'kjn', 'kjs', 'kkc', 'kkl', 'klt', 'klv', 'kmg', 'kmh', 'kmk', 'kmo', 'kms', 'kmu', 'kne', 'knf', 'knj', 'knv', 'kos', 'kpf', 'kpg', 'kpj', 'kpr', 'kpw', 'kpx', 'kqa', 'kqc', 'kqf', 'kql', 'kqw', 'ksd', 'ksj', 'ksr', 'ktm', 'kto', 'kud', 'kue', 'kup', 'kvg', 'kvn', 'kwd', 'kwf', 'kwi', 'kwj', 'kyc', 'kyf', 'kyg', 'kyq', 'kyz', 'kze', 'lac', 'lat', 'lbb', 'lbk', 'lcm', 'leu', 'lex', 'lgl', 'lid', 'lif', 'lin', 'lit', 'llg', 'lug', 'luo', 'lww', 'maa', 'maj', 'mal', 'mam', 'maq', 'mar', 'mau', 'mav', 'maz', 'mbb', 'mbc', 'mbh', 'mbj', 'mbl', 'mbs', 'mbt', 'mca', 'mcb', 'mcd', 'mcf', 'mco', 'mcp', 'mcq', 'mcr', 'mdy', 'med', 'mee', 'mek', 'meq', 'met', 'meu', 'mgc', 'mgh', 'mgw', 'mhl', 'mib', 'mic', 'mie', 'mig', 'mih', 'mil', 'mio', 'mir', 'mit', 'miz', 'mjc', 'mkj', 'mkl', 'mkn', 'mks', 'mle', 'mlh', 'mlp', 'mmo', 'mmx', 'mna', 'mop', 'mox', 'mph', 'mpj', 'mpm', 'mpp', 'mps', 'mpt', 'mpx', 'mqb', 'mqj', 'msb', 'msc', 'msk', 'msm', 'msy', 'mti', 'mto', 'mux', 'muy', 'mva', 'mvn', 'mwc', 'mwe', 'mwf', 'mwp', 'mxb', 'mxp', 'mxq', 'mxt', 'mya', 'myk', 'myu', 'myw', 'myy', 'mzz', 'nab', 'naf', 'nak', 'nas', 'nay', 'nbq', 'nca', 'nch', 'ncj', 'ncl', 'ncu', 'ndg', 'ndj', 'nfa', 'ngp', 'ngu', 'nhe', 'nhg', 'nhi', 'nho', 'nhr', 'nhu', 'nhw', 'nhy', 'nif', 'nii', 'nin', 'nko', 'nld', 'nlg', 'nmw', 'nna', 'nnq', 'noa', 'nop', 'not', 'nou', 'npi', 'npl', 'nsn', 'nss', 'ntj', 'ntp', 'ntu', 'nuy', 'nvm', 'nwi', 'nya', 'nys', 'nyu', 'obo', 'okv', 'omw', 'ong', 'ons', 'ood', 'opm', 'ory', 'ote', 'otm', 'otn', 'otq', 'ots', 'pab', 'pad', 'pah', 'pan', 'pao', 'pes', 'pib', 'pio', 'pir', 'piu', 'pjt', 'pls', 'plu', 'pma', 'poe', 'poh', 'poi', 'pol', 'pon', 'por', 'poy', 'ppo', 'prf', 'pri', 'ptp', 'ptu', 'pwg', 'qub', 'quc', 'quf', 'quh', 'qul', 'qup', 'qvc', 'qve', 'qvh', 'qvm', 'qvn', 'qvs', 'qvw', 'qvz', 'qwh', 'qxh', 'qxn', 'qxo', 'rai', 'reg', 'rgu', 'rkb', 'rmc', 'rmy', 'ron', 'roo', 'rop', 'row', 'rro', 'ruf', 'rug', 'rus', 'rwo', 'sab', 'san', 'sbe', 'sbk', 'sbs', 'seh', 'sey', 'sgb', 'sgz', 'shj', 'shp', 'sim', 'sja', 'sll', 'smk', 'snc', 'snn', 'snp', 'snx', 'sny', 'som', 'soq', 'soy', 'spa', 'spl', 'spm', 'spp', 'sps', 'spy', 'sri', 'srm', 'srn', 'srp', 'srq', 'ssd', 'ssg', 'ssx', 'stp', 'sua', 'sue', 'sus', 'suz', 'swe', 'swh', 'swp', 'sxb', 'tac', 'taj', 'tam', 'tav', 'taw', 'tbc', 'tbf', 'tbg', 'tbl', 'tbo', 'tbz', 'tca', 'tcs', 'tcz', 'tdt', 'tee', 'tel', 'ter', 'tet', 'tew', 'tfr', 'tgk', 'tgl', 'tgo', 'tgp', 'tha', 'thd', 'tif', 'tim', 'tiw', 'tiy', 'tke', 'tku', 'tlf', 'tmd', 'tna', 'tnc', 'tnk', 'tnn', 'tnp', 'toc', 'tod', 'tof', 'toj', 'ton', 'too', 'top', 'tos', 'tpa', 'tpi', 'tpt', 'tpz', 'trc', 'tsw', 'ttc', 'tte', 'tuc', 'tue', 'tuf', 'tuo', 'tur', 'tvk', 'twi', 'txq', 'txu', 'tzj', 'tzo', 'ubr', 'ubu', 'udu', 'uig', 'ukr', 'uli', 'ulk', 'upv', 'ura', 'urb', 'urd', 'uri', 'urt', 'urw', 'usa', 'usp', 'uvh', 'uvl', 'vid', 'vie', 'viv', 'vmy', 'waj', 'wal', 'wap', 'wat', 'wbi', 'wbp', 'wed', 'wer', 'wim', 'wiu', 'wiv', 'wmt', 'wmw', 'wnc', 'wnu', 'wol', 'wos', 'wrk', 'wro', 'wrs', 'wsk', 'wuv', 'xav', 'xbi', 'xed', 'xla', 'xnn', 'xon', 'xsi', 'xtd', 'xtm', 'yaa', 'yad', 'yal', 'yap', 'yaq', 'yby', 'ycn', 'yka', 'yle', 'yml', 'yon', 'yor', 'yrb', 'yre', 'yss', 'yuj', 'yut', 'yuw', 'yva', 'zaa', 'zab', 'zac', 'zad', 'zai', 'zaj', 'zam', 'zao', 'zap', 'zar', 'zas', 'zat', 'zav', 'zaw', 'zca', 'zga', 'zia', 'ziw', 'zlm', 'zos', 'zpc', 'zpl', 'zpm', 'zpo', 'zpq', 'zpu', 'zpv', 'zpz', 'zsr', 'ztq', 'zty', 'zyp']
|
| 26 |
+
_DESCRIPTION = "Bible Parallel Corpus"
|
| 27 |
+
_HOMEPAGE = 'https://github.com/BibleNLP/ebible-corpus'
|
| 28 |
+
_PAIR = 'all'
|
| 29 |
+
_CITATION = """\
|
| 30 |
+
@InProceedings{huggingface:dataset,
|
| 31 |
+
title = {A great new dataset},
|
| 32 |
+
author={huggingface, Inc.
|
| 33 |
+
},
|
| 34 |
+
year={2020}
|
| 35 |
+
}
|
| 36 |
+
"""
|
| 37 |
+
_LICENSE = 'Creative Commons and Public Domain, specified in the dataset'
|
| 38 |
+
_FILES = {'corpus':'corpus.json','vref':'vref.txt'}
|
| 39 |
+
|
| 40 |
+
class BiblenlpCorpusConfig(datasets.BuilderConfig):
|
| 41 |
+
def __init__(self, languages=[], pair='all', **kwargs):
|
| 42 |
+
'''
|
| 43 |
+
languages: list of languages to include
|
| 44 |
+
pair: 'all', 'range', or 'single' to specify whether verse ranges, single pairings, or all pairs are included
|
| 45 |
+
**kwargs: additional arguments to pass to the superclass'''
|
| 46 |
+
super(BiblenlpCorpusConfig, self).__init__(name=f'{"-".join([x for x in languages])}', **kwargs)
|
| 47 |
+
self.languages = languages
|
| 48 |
+
self.pair = pair
|
| 49 |
+
|
| 50 |
+
class BiblenlpCorpus(datasets.GeneratorBasedBuilder):
|
| 51 |
+
BUILDER_CONFIGS = [
|
| 52 |
+
BiblenlpCorpusConfig(
|
| 53 |
+
languages=_LANGUAGES,
|
| 54 |
+
pair=_PAIR,
|
| 55 |
+
description = f'Parallel Bible verses with {_PAIR} pairings of {"-".join([x for x in _LANGUAGES])} languages',
|
| 56 |
+
)
|
| 57 |
+
]
|
| 58 |
+
|
| 59 |
+
BUILDER_CONFIG_CLASS = BiblenlpCorpusConfig
|
| 60 |
+
|
| 61 |
+
def _info(self):
|
| 62 |
+
return datasets.DatasetInfo(
|
| 63 |
+
description=_DESCRIPTION,
|
| 64 |
+
features=datasets.Features(
|
| 65 |
+
{
|
| 66 |
+
"translation": datasets.features.TranslationVariableLanguages(languages=_LANGUAGES),
|
| 67 |
+
"files": datasets.features.Sequence( {'lang':datasets.Value("string"), 'file':datasets.Value("string")} ),
|
| 68 |
+
"ref": datasets.features.Sequence( datasets.Value("string") ),
|
| 69 |
+
"licenses": datasets.features.Sequence( datasets.Value("string") ),
|
| 70 |
+
"copyrights": datasets.features.Sequence( datasets.Value("string") )
|
| 71 |
+
},
|
| 72 |
+
),
|
| 73 |
+
supervised_keys=None,
|
| 74 |
+
homepage=_HOMEPAGE,
|
| 75 |
+
citation=_CITATION,
|
| 76 |
+
license=_LICENSE,
|
| 77 |
+
version=_VERSION
|
| 78 |
+
) #
|
| 79 |
+
|
| 80 |
+
def _split_generators(self, dl_manager):
|
| 81 |
+
downloaded_files = dl_manager.download(_FILES)
|
| 82 |
+
|
| 83 |
+
def parse_json(json_filename, langs):
|
| 84 |
+
with open(json_filename, 'rb') as input_file:
|
| 85 |
+
# load json iteratively
|
| 86 |
+
parser = ijson.parse(input_file)
|
| 87 |
+
parsed_dict = {lang: [] for lang in langs}
|
| 88 |
+
idx = {lang: -1 for lang in langs}
|
| 89 |
+
for prefix, event, value in parser:
|
| 90 |
+
#print(f'prefix:{prefix}, event:{event}, value:{value}')
|
| 91 |
+
if any([prefix.startswith(f'{lang}.') for lang in langs]):
|
| 92 |
+
#print(f'prefix:{prefix}, event:{event}, value:{value}')
|
| 93 |
+
if event == 'start_map':
|
| 94 |
+
idx[prefix.split('.')[0]] += 1
|
| 95 |
+
tmpdict ={}
|
| 96 |
+
tmpdict['verses']=[]
|
| 97 |
+
if prefix.endswith('verses.item'):
|
| 98 |
+
tmpdict['verses'].append(value)
|
| 99 |
+
if prefix.endswith('copyright'):
|
| 100 |
+
tmpdict['copyright'] = value
|
| 101 |
+
if prefix.endswith('text'):
|
| 102 |
+
tmpdict['text'] = value
|
| 103 |
+
if prefix.endswith('file'):
|
| 104 |
+
tmpdict['file'] = value
|
| 105 |
+
if prefix.endswith('license'):
|
| 106 |
+
tmpdict['license'] = value
|
| 107 |
+
if event == 'end_map':
|
| 108 |
+
#write the dictionary
|
| 109 |
+
parsed_dict[prefix.split('.')[0]].append( tmpdict.copy() )
|
| 110 |
+
return(parsed_dict)
|
| 111 |
+
|
| 112 |
+
def define_splits(corpus_slice, langs):
|
| 113 |
+
verse2split = {}
|
| 114 |
+
langtexts = {}
|
| 115 |
+
textverses = {}
|
| 116 |
+
vindexes = {}
|
| 117 |
+
vgroups = []
|
| 118 |
+
versesets ={}
|
| 119 |
+
|
| 120 |
+
np.random.seed(42)
|
| 121 |
+
|
| 122 |
+
for lang in tqdm(langs):
|
| 123 |
+
langtexts[lang] = set()
|
| 124 |
+
textverses[lang]={}
|
| 125 |
+
vindexes[lang]={}
|
| 126 |
+
for idx,line in enumerate(corpus_slice[lang]):
|
| 127 |
+
langtexts[lang].add(line['file'])
|
| 128 |
+
for v in line['verses']:
|
| 129 |
+
if not textverses[lang].get(line['file']):
|
| 130 |
+
textverses[lang][line['file']] = set()
|
| 131 |
+
textverses[lang][line['file']].add(v)
|
| 132 |
+
if not vindexes[lang].get(v):
|
| 133 |
+
vindexes[lang][v] = [idx]
|
| 134 |
+
else:
|
| 135 |
+
vindexes[lang][v].append(idx)
|
| 136 |
+
|
| 137 |
+
#print(list(vindexes['eng'].keys())[0:10])
|
| 138 |
+
#for f in langtexts['eng']:
|
| 139 |
+
# print(len(textverses['eng'][f]))
|
| 140 |
+
|
| 141 |
+
for line in tqdm(corpus_slice[langs[0]]):
|
| 142 |
+
versesets = {line['file']:line['verses']}
|
| 143 |
+
if any([verse2split.get(z) for z in line['verses']]):
|
| 144 |
+
for verse in line['verses']:
|
| 145 |
+
if verse2split.get(verse):
|
| 146 |
+
prevsplit = verse2split.get(verse)
|
| 147 |
+
break
|
| 148 |
+
split = prevsplit
|
| 149 |
+
else:
|
| 150 |
+
split = np.random.choice(['train','test','dev'],p=[.9,.05,.05])
|
| 151 |
+
if not all([verse2split.get(z) for z in line['verses']]):
|
| 152 |
+
all_verses = set()
|
| 153 |
+
for v in line['verses']:
|
| 154 |
+
all_verses.add(v)
|
| 155 |
+
while True:
|
| 156 |
+
verses_added = False
|
| 157 |
+
idxes = {k:set() for k in langs}
|
| 158 |
+
#get indexes for verses
|
| 159 |
+
for v in all_verses:
|
| 160 |
+
for lang in langs:
|
| 161 |
+
if vindexes[lang].get(v):
|
| 162 |
+
for idx in vindexes[lang][v]:
|
| 163 |
+
idxes[lang].add(idx)
|
| 164 |
+
|
| 165 |
+
for lang in langs:
|
| 166 |
+
for compline in [corpus_slice[lang][x] for x in idxes[lang] if x != set()]:
|
| 167 |
+
|
| 168 |
+
if all(x in textverses[lang][compline['file']] for x in all_verses) and any([x in list(all_verses) for x in compline['verses']]):
|
| 169 |
+
if not versesets.get(compline['file']):
|
| 170 |
+
versesets[compline['file']] = compline['verses'].copy()
|
| 171 |
+
else:
|
| 172 |
+
versesets[compline['file']].extend(compline['verses'].copy())
|
| 173 |
+
for v in compline['verses']:
|
| 174 |
+
pre_size = len(all_verses)
|
| 175 |
+
all_verses.add(v)
|
| 176 |
+
if len(all_verses) > pre_size:
|
| 177 |
+
verses_added = True
|
| 178 |
+
|
| 179 |
+
if verses_added == False or all([set(versesets[q]) == all_verses for q in versesets.keys()]):
|
| 180 |
+
vgroups.append(all_verses)
|
| 181 |
+
for v in all_verses:
|
| 182 |
+
verse2split[v] = split
|
| 183 |
+
break
|
| 184 |
+
|
| 185 |
+
return(vgroups,vindexes, verse2split)
|
| 186 |
+
|
| 187 |
+
|
| 188 |
+
corpus_slice = parse_json(downloaded_files['corpus'], self.config.languages)
|
| 189 |
+
vgroups, vindexes, verse2split = define_splits(corpus_slice, self.config.languages)
|
| 190 |
+
|
| 191 |
+
|
| 192 |
+
return [
|
| 193 |
+
datasets.SplitGenerator(
|
| 194 |
+
name=datasets.Split.TRAIN,
|
| 195 |
+
gen_kwargs={
|
| 196 |
+
'langs': self.config.languages,
|
| 197 |
+
'corpus': corpus_slice,
|
| 198 |
+
'vgroups': vgroups,
|
| 199 |
+
'vindexes': vindexes,
|
| 200 |
+
'v2split': verse2split,
|
| 201 |
+
'split': 'train',
|
| 202 |
+
'vref': downloaded_files['vref'],
|
| 203 |
+
}
|
| 204 |
+
),
|
| 205 |
+
datasets.SplitGenerator(
|
| 206 |
+
name=datasets.Split.VALIDATION,
|
| 207 |
+
gen_kwargs={
|
| 208 |
+
'langs': self.config.languages,
|
| 209 |
+
'corpus': corpus_slice,
|
| 210 |
+
'vgroups': vgroups,
|
| 211 |
+
'vindexes': vindexes,
|
| 212 |
+
'v2split': verse2split,
|
| 213 |
+
'split': 'dev',
|
| 214 |
+
'vref': downloaded_files['vref'],
|
| 215 |
+
}
|
| 216 |
+
),
|
| 217 |
+
datasets.SplitGenerator(
|
| 218 |
+
name=datasets.Split.TEST,
|
| 219 |
+
gen_kwargs={
|
| 220 |
+
'langs': self.config.languages,
|
| 221 |
+
'corpus': corpus_slice,
|
| 222 |
+
'vgroups': vgroups,
|
| 223 |
+
'vindexes': vindexes,
|
| 224 |
+
'v2split': verse2split,
|
| 225 |
+
'split': 'test',
|
| 226 |
+
'vref': downloaded_files['vref'],
|
| 227 |
+
}
|
| 228 |
+
),
|
| 229 |
+
]
|
| 230 |
+
|
| 231 |
+
|
| 232 |
+
|
| 233 |
+
|
| 234 |
+
|
| 235 |
+
def _generate_examples(self, vref, corpus, vgroups, vindexes, v2split, split, langs):
|
| 236 |
+
#print(f'Generating {split} examples...')
|
| 237 |
+
with open(vref, 'r') as txtfile:
|
| 238 |
+
#print('file opened')
|
| 239 |
+
lines = txtfile.readlines()
|
| 240 |
+
#print('lines read')
|
| 241 |
+
verse2index = {k.strip():v for v,k in enumerate(lines) if k.strip() != ''}
|
| 242 |
+
#print('v2i created')
|
| 243 |
+
|
| 244 |
+
def order_verses(verse_list):
|
| 245 |
+
lines_list = [int(verse2index[x]) for x in verse_list]
|
| 246 |
+
verse_order = np.argsort(lines_list)
|
| 247 |
+
return(verse_order)
|
| 248 |
+
|
| 249 |
+
trans_license = {}
|
| 250 |
+
trans_copyright = {}
|
| 251 |
+
id = -1
|
| 252 |
+
#print(f'beginning groups, starting with {list(vgroups)[0]}')
|
| 253 |
+
for group in vgroups:
|
| 254 |
+
#print(group)
|
| 255 |
+
if v2split.get(list(group)[0]) == split:
|
| 256 |
+
#print('correct split')
|
| 257 |
+
if len(group) > 1:
|
| 258 |
+
v_order = order_verses(group)
|
| 259 |
+
o_group = list(np.array(list(group))[v_order])
|
| 260 |
+
|
| 261 |
+
else:
|
| 262 |
+
o_group = list(group)
|
| 263 |
+
trans_dict={k:{} for k in langs}
|
| 264 |
+
trans_texts = {k:{} for k in langs}
|
| 265 |
+
used_idxes = {k:[] for k in langs}
|
| 266 |
+
for v in o_group:
|
| 267 |
+
#print(f'trying verse {v}')
|
| 268 |
+
single_texts = {k:{} for k in langs}
|
| 269 |
+
single_dict = {k:{} for k in langs}
|
| 270 |
+
for lang in langs:
|
| 271 |
+
if vindexes[lang].get(v):
|
| 272 |
+
try:
|
| 273 |
+
for i in range(0,len(list(vindexes[lang][v]))):
|
| 274 |
+
if list(vindexes[lang][v])[i] not in used_idxes[lang]:
|
| 275 |
+
used_idxes[lang].append(vindexes[lang][v])
|
| 276 |
+
line = corpus[lang][vindexes[lang][v][i]]
|
| 277 |
+
if not trans_texts.get(line['file']):
|
| 278 |
+
trans_texts[lang][line['file']]=line['text']
|
| 279 |
+
else:
|
| 280 |
+
trans_texts[lang][line['file']] += f' {line["text"]}'
|
| 281 |
+
if line.get('license'):
|
| 282 |
+
trans_license[line['file']]=line['license']
|
| 283 |
+
if line.get('copyright'):
|
| 284 |
+
trans_copyright[line['file']]=line['copyright']
|
| 285 |
+
if len(line['verses']) == 1:
|
| 286 |
+
single_texts[lang][line['file']] = line['text']
|
| 287 |
+
except:
|
| 288 |
+
print(lang,v)
|
| 289 |
+
raise
|
| 290 |
+
|
| 291 |
+
single_dict[lang]=list(single_texts[lang].values())
|
| 292 |
+
trans_dict[lang]=list(trans_texts[lang].values())
|
| 293 |
+
|
| 294 |
+
single_file = {x:list(single_texts[x].keys()) for x in langs}
|
| 295 |
+
sing_v_order = {x:np.argsort(list(single_texts[x].values())) for x in langs}
|
| 296 |
+
lang_order = np.argsort(langs)
|
| 297 |
+
single_lic_list =[]
|
| 298 |
+
single_copy_list = []
|
| 299 |
+
for lang in [langs[x] for x in lang_order]:
|
| 300 |
+
single_lic_list.extend([trans_license.get(single_file[lang][x],'') for x in sing_v_order[lang]])
|
| 301 |
+
single_copy_list.extend([trans_copyright.get(single_file[lang][x],'') for x in sing_v_order[lang]])
|
| 302 |
+
if all([single_dict.get(x) and single_dict.get(x) != [{}] and list(single_dict.get(x)) for x in langs]) and len(list(single_dict.keys())) == len(langs) and self.config.pair != 'range':
|
| 303 |
+
id = id + 1
|
| 304 |
+
sfile_list = []
|
| 305 |
+
for key in [langs[x] for x in lang_order]:
|
| 306 |
+
for value in [single_file.get(key)[x] for x in sing_v_order.get(key)]:
|
| 307 |
+
sfile_list.append({'lang':key,'file':value})
|
| 308 |
+
|
| 309 |
+
#print('outputting single example')
|
| 310 |
+
# print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
|
| 311 |
+
try:
|
| 312 |
+
yield(id, {'translation': single_dict, 'files': sfile_list, 'ref':[v], 'licenses':single_lic_list, 'copyrights':single_copy_list})
|
| 313 |
+
except:
|
| 314 |
+
print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
|
| 315 |
+
raise
|
| 316 |
+
|
| 317 |
+
file_list = {x:list(trans_texts[x].keys()) for x in langs}
|
| 318 |
+
trans_v_order = {x:np.argsort(list(trans_texts[x].values())) for x in langs}
|
| 319 |
+
lang_order = np.argsort(langs)
|
| 320 |
+
#license_list = [trans_license.get(x,'') for x in [y for y in file_list.values()]]
|
| 321 |
+
#copyright_list = [trans_copyright.get(x,'') for x in [y for y in file_list.values()]]
|
| 322 |
+
license_list = []
|
| 323 |
+
copyright_list = []
|
| 324 |
+
for lang in [langs[x] for x in lang_order]:
|
| 325 |
+
license_list.extend([trans_license.get(file_list[lang][x],'') for x in trans_v_order[lang]])
|
| 326 |
+
copyright_list .extend([trans_copyright.get(file_list[lang][x],'') for x in trans_v_order[lang]])
|
| 327 |
+
if len(o_group)>1 and all([trans_dict.get(x) and trans_dict.get(x) != [{}] and list(trans_dict.get(x)) for x in langs]) and len(list(trans_dict.keys())) == len(langs) and self.config.pair != 'single':
|
| 328 |
+
id = id + 1
|
| 329 |
+
ofile_list = []
|
| 330 |
+
for key in [langs[x] for x in lang_order]:
|
| 331 |
+
for value in [file_list.get(key)[x] for x in trans_v_order.get(key)]:
|
| 332 |
+
ofile_list.append({'lang':key,'file':value})
|
| 333 |
+
#print('outputting range example')
|
| 334 |
+
try:
|
| 335 |
+
yield(id, {'translation': trans_dict, 'files': ofile_list, 'ref':o_group, 'licenses':license_list, 'copyrights':copyright_list})
|
| 336 |
+
except:
|
| 337 |
+
print(id, trans_dict, ofile_list, o_group, license_list, copyright_list)
|
| 338 |
raise
|