biblenlp-corpus.py

# coding=utf-8
# Copyright 2020 HuggingFace Datasets Authors.
#
# 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.

# Lint as: python3
import os

import datasets
from tqdm import tqdm
import numpy as np
import ijson

_VERSION = "0.0.2"
_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', 'apy', 'arb', 'arl', 'arn', 'arp', 'aso', 'ata', 'atb', 'atd', 'atg', 'auc', 'aui', 'auy', 'avt', 'awb', 'awk', 'awx', 'azg', 'azz', 'bao', 'bbb', 'bbr', 'bch', 'bco', 'bdd', 'bea', 'bel', 'bgs', 'bgt', 'bhg', 'bhl', 'big', 'bjr', 'bjv', 'bkd', 'bki', 'bkq', 'bkx', 'bla', 'blw', 'blz', 'bmh', 'bmk', 'bmr', 'bnp', 'boa', 'boj', 'bon', 'box', 'bqc', 'bre', 'bsn', 'bsp', 'bss', 'buk', 'bus', 'bvr', 'bxh', 'byx', 'bzd', 'bzj', 'cab', 'caf', 'cao', 'cap', 'car', 'cav', 'cax', 'cbc', 'cbi', 'cbk', 'cbr', 'cbs', 'cbt', 'cbu', 'cbv', 'cco', 'ces', 'cgc', 'cha', 'chd', 'chf', 'chk', 'chq', 'chz', 'cjo', 'cjv', 'cle', 'clu', 'cme', 'cmn', 'cni', 'cnl', 'cnt', 'cof', 'con', 'cop', 'cot', 'cpa', 'cpb', 'cpc', 'cpu', 'crn', 'crx', 'cso', 'cta', 'ctp', 'ctu', 'cub', 'cuc', 'cui', 'cut', 'cux', 'cwe', 'daa', 'dad', 'dah', 'ded', 'deu', 'dgr', 'dgz', 'dif', 'dik', 'dji', 'djk', 'dob', 'dwr', 'dww', 'dwy', 'eko', 'emi', 'emp', 'eng', 'epo', 'eri', 'ese', 'etr', 'faa', 'fai', 'far', 'for', 'fra', 'fuf', 'gai', 'gam', 'gaw', 'gdn', 'gdr', 'geb', 'gfk', 'ghs', 'gia', 'glk', 'gmv', 'gng', 'gnn', 'gnw', 'gof', 'grc', 'gub', 'guh', 'gui', 'gul', 'gum', 'guo', 'gvc', 'gvf', 'gwi', 'gym', 'gyr', 'hat', 'haw', 'hbo', 'hch', 'heb', 'heg', 'hix', 'hla', 'hlt', 'hns', 'hop', 'hrv', 'hub', 'hui', 'hus', 'huu', 'huv', 'hvn', 'ign', 'ikk', 'ikw', 'imo', 'inb', 'ind', 'ino', 'iou', 'ipi', 'ita', 'jac', 'jao', 'jic', 'jiv', 'jpn', 'jvn', 'kaq', 'kbc', 'kbh', 'kbm', 'kdc', 'kde', 'kdl', 'kek', 'ken', 'kew', 'kgk', 'kgp', 'khs', 'kje', 'kjs', 'kkc', 'kky', 'klt', 'klv', 'kms', 'kmu', 'kne', 'knf', 'knj', 'kos', 'kpf', 'kpg', 'kpj', 'kpw', 'kqa', 'kqc', 'kqf', 'kql', 'kqw', 'ksj', 'ksr', 'ktm', 'kto', 'kud', 'kue', 'kup', 'kvn', 'kwd', 'kwf', 'kwi', 'kwj', 'kyf', 'kyg', 'kyq', 'kyz', 'kze', 'lac', 'lat', 'lbb', 'leu', 'lex', 'lgl', 'lid', 'lif', 'lww', 'maa', 'maj', 'maq', 'mau', 'mav', 'maz', 'mbb', 'mbc', 'mbh', 'mbl', 'mbt', 'mca', 'mcb', 'mcd', 'mcf', 'mcp', 'mdy', 'med', 'mee', 'mek', 'meq', 'met', 'meu', 'mgh', 'mgw', 'mhl', 'mib', 'mic', 'mie', 'mig', 'mih', 'mil', 'mio', 'mir', 'mit', 'miz', 'mjc', 'mkn', 'mks', 'mlh', 'mlp', 'mmx', 'mna', 'mop', 'mox', 'mph', 'mpj', 'mpm', 'mpp', 'mps', 'mpx', 'mqb', 'mqj', 'msb', 'msc', 'msk', 'msm', 'msy', 'mti', 'muy', 'mva', 'mvn', 'mwc', 'mxb', 'mxp', 'mxq', 'mxt', 'myu', 'myw', 'myy', 'mzz', 'nab', 'naf', 'nak', 'nay', 'nbq', 'nca', 'nch', 'ncj', 'ncl', 'ncu', 'ndj', 'nfa', 'ngp', 'ngu', 'nhg', 'nhi', 'nho', 'nhr', 'nhu', 'nhw', 'nhy', 'nif', 'nin', 'nko', 'nld', 'nlg', 'nna', 'nnq', 'not', 'nou', 'npl', 'nsn', 'nss', 'ntj', 'ntp', 'nwi', 'nyu', 'obo', 'ong', 'ons', 'ood', 'opm', 'ote', 'otm', 'otn', 'otq', 'ots', 'pab', 'pad', 'pah', 'pao', 'pes', 'pib', 'pio', 'pir', 'pjt', 'plu', 'pma', 'poe', 'poi', 'pon', 'poy', 'ppo', 'prf', 'pri', 'ptp', 'ptu', 'pwg', 'quc', 'quf', 'quh', 'qul', 'qup', 'qvc', 'qve', 'qvh', 'qvm', 'qvn', 'qvs', 'qvw', 'qvz', 'qwh', 'qxh', 'qxn', 'qxo', 'rai', 'rkb', 'rmc', 'roo', 'rop', 'rro', 'ruf', 'rug', 'rus', 'sab', 'san', 'sbe', 'seh', 'sey', 'sgz', 'shj', 'shp', 'sim', 'sja', 'sll', 'smk', 'snc', 'snn', 'sny', 'som', 'soq', 'spa', 'spl', 'spm', 'sps', 'spy', 'sri', 'srm', 'srn', 'srp', 'srq', 'ssd', 'ssg', 'ssx', 'stp', 'sua', 'sue', 'sus', 'suz', 'swe', 'swh', 'swp', 'sxb', 'tac', 'tav', 'tbc', 'tbl', 'tbo', 'tbz', 'tca', 'tee', 'ter', 'tew', 'tfr', 'tgp', 'tif', 'tim', 'tiy', 'tke', 'tku', 'tna', 'tnc', 'tnn', 'tnp', 'toc', 'tod', 'toj', 'ton', 'too', 'top', 'tos', 'tpt', 'trc', 'tsw', 'ttc', 'tue', 'tuo', 'txu', 'ubr', 'udu', 'ukr', 'uli', 'ura', 'urb', 'usa', 'usp', 'uvl', 'vid', 'vie', 'viv', 'vmy', 'waj', 'wal', 'wap', 'wat', 'wbp', 'wed', 'wer', 'wim', 'wmt', 'wmw', 'wnc', 'wnu', 'wos', 'wrk', 'wro', 'wsk', 'wuv', 'xav', 'xed', 'xla', 'xnn', 'xon', 'xsi', 'xtd', 'xtm', 'yaa', 'yad', 'yal', 'yap', 'yaq', 'yby', 'ycn', 'yka', 'yml', 'yre', 'yuj', 'yut', 'yuw', 'yva', 'zaa', 'zab', 'zac', 'zad', 'zai', 'zaj', 'zam', 'zao', 'zar', 'zas', 'zat', 'zav', 'zaw', 'zca', 'zia', 'ziw', 'zos', 'zpc', 'zpl', 'zpo', 'zpq', 'zpu', 'zpv', 'zpz', 'zsr', 'ztq', 'zty', 'zyp']
_DESCRIPTION = "Bible Parallel Corpus"
_HOMEPAGE = 'https://github.com/BibleNLP/ebible-corpus'
_PAIR = 'all'
_CITATION = """\

@InProceedings{huggingface:dataset,

title = {A great new dataset},

author={huggingface, Inc.

},

year={2020}

}

"""
_LICENSE = 'Creative Commons and Public Domain, specified in the dataset'
_FILES = {'corpus':'corpus.json','vref':'vref.txt'}

class BiblenlpCorpusConfig(datasets.BuilderConfig):
    def __init__(self, languages=[], pair='all', **kwargs):
        '''

        languages: list of languages to include

        pair: 'all', 'range', or 'single' to specify whether verse ranges, single pairings, or all pairs are included

        **kwargs: additional arguments to pass to the superclass'''
        super(BiblenlpCorpusConfig, self).__init__(name=f'{"-".join([x for x in languages])}', **kwargs)
        self.languages = languages
        self.pair = pair

class BiblenlpCorpus(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        BiblenlpCorpusConfig(
            languages=_LANGUAGES, 
            pair=_PAIR,
            description = f'Parallel Bible verses with {_PAIR} pairings of {"-".join([x for x in _LANGUAGES])} languages',
        )
    ]

    BUILDER_CONFIG_CLASS = BiblenlpCorpusConfig

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "translation": datasets.features.TranslationVariableLanguages(languages=_LANGUAGES),     
                    "files": datasets.features.Sequence( {'lang':datasets.Value("string"), 'file':datasets.Value("string")} ),                
                    "ref": datasets.features.Sequence( datasets.Value("string") ),
                    "licenses": datasets.features.Sequence( datasets.Value("string")  ),
                    "copyrights": datasets.features.Sequence( datasets.Value("string")  )
                },        
                ),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            citation=_CITATION,
            license=_LICENSE,
            version=_VERSION
            )   #

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download(_FILES)
        
        def parse_json(json_filename, langs):
            with open(json_filename, 'rb') as input_file:
                # load json iteratively
                parser = ijson.parse(input_file)
                parsed_dict = {lang: [] for lang in langs}
                idx = {lang: -1 for lang in langs}
                for prefix, event, value in parser:
                    #print(f'prefix:{prefix}, event:{event}, value:{value}')
                    if any([prefix.startswith(f'{lang}.') for lang in langs]):
                        #print(f'prefix:{prefix}, event:{event}, value:{value}')
                        if event == 'start_map':
                            idx[prefix.split('.')[0]] += 1
                            tmpdict ={}
                            tmpdict['verses']=[]
                        if prefix.endswith('verses.item'):
                            tmpdict['verses'].append(value)
                        if prefix.endswith('copyright'):
                            tmpdict['copyright'] = value
                        if prefix.endswith('text'):
                            tmpdict['text'] = value              
                        if prefix.endswith('file'):
                            tmpdict['file'] = value            
                        if prefix.endswith('license'):
                            tmpdict['license'] = value
                        if event == 'end_map':
                            #write the dictionary
                            parsed_dict[prefix.split('.')[0]].append( tmpdict.copy() )
            return(parsed_dict)
        
        def define_splits(corpus_slice, langs):
            verse2split = {}
            langtexts = {}
            textverses = {}
            vindexes = {}
            vgroups = []
            versesets ={}

            np.random.seed(42)

            for lang in tqdm(langs):
                langtexts[lang] = set()
                textverses[lang]={}
                vindexes[lang]={}
                for idx,line in enumerate(corpus_slice[lang]):
                    langtexts[lang].add(line['file'])
                    for v in line['verses']:
                        if not textverses[lang].get(line['file']): 
                            textverses[lang][line['file']] = set()
                        textverses[lang][line['file']].add(v)
                        if not vindexes[lang].get(v):
                            vindexes[lang][v] = [idx] 
                        else: 
                            vindexes[lang][v].append(idx)

            #print(list(vindexes['eng'].keys())[0:10])
            #for f in langtexts['eng']:
            #    print(len(textverses['eng'][f]))

            for line in tqdm(corpus_slice[langs[0]]):
                versesets = {line['file']:line['verses']}
                if any([verse2split.get(z) for z in line['verses']]):
                    for verse in line['verses']:
                        if verse2split.get(verse):
                            prevsplit = verse2split.get(verse)
                            break
                    split = prevsplit
                else:  
                    split = np.random.choice(['train','test','dev'],p=[.9,.05,.05])
                if not all([verse2split.get(z) for z in line['verses']]):
                    all_verses = set()
                    for v in line['verses']:
                        all_verses.add(v)
                    while True:
                        verses_added = False  
                        idxes = {k:set() for k in langs}
                        #get indexes for verses
                        for v in all_verses:
                            for lang in langs:
                                if vindexes[lang].get(v):
                                    for idx in vindexes[lang][v]:
                                        idxes[lang].add(idx)

                        for lang in langs:
                            for compline in [corpus_slice[lang][x] for x in idxes[lang] if x != set()]:

                                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']]):
                                    if not versesets.get(compline['file']):
                                        versesets[compline['file']] = compline['verses'].copy()               
                                    else: 
                                        versesets[compline['file']].extend(compline['verses'].copy()) 
                                    for v in compline['verses']:
                                        pre_size = len(all_verses)
                                        all_verses.add(v)
                                        if len(all_verses) > pre_size: 
                                            verses_added = True      

                        if verses_added == False or all([set(versesets[q]) == all_verses for q in versesets.keys()]):
                            vgroups.append(all_verses)
                            for v in all_verses:
                                verse2split[v] = split
                            break

            return(vgroups,vindexes, verse2split)    


        corpus_slice = parse_json(downloaded_files['corpus'], self.config.languages)
        vgroups, vindexes, verse2split = define_splits(corpus_slice, self.config.languages)


        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    'langs': self.config.languages,
                    'corpus': corpus_slice,
                    'vgroups': vgroups,
                    'vindexes': vindexes,
                    'v2split': verse2split,
                    'split': 'train',
                    'vref': downloaded_files['vref'],
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    'langs': self.config.languages,
                    'corpus': corpus_slice,
                    'vgroups': vgroups,
                    'vindexes': vindexes,
                    'v2split': verse2split,
                    'split': 'dev',
                    'vref': downloaded_files['vref'],
                }
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    'langs': self.config.languages,
                    'corpus': corpus_slice,
                    'vgroups': vgroups,
                    'vindexes': vindexes,
                    'v2split': verse2split,
                    'split': 'test',
                    'vref': downloaded_files['vref'],
                }
            ),                                  
        ]



        

    def _generate_examples(self, vref, corpus, vgroups, vindexes, v2split, split, langs):
        #print(f'Generating {split} examples...')
        with open(vref, 'r') as txtfile:
            #print('file opened')
            lines = txtfile.readlines()
            #print('lines read')
            verse2index = {k.strip():v for v,k in enumerate(lines) if k.strip() != ''}
            #print('v2i created')

        def order_verses(verse_list):
            lines_list = [int(verse2index[x]) for x in verse_list]
            verse_order = np.argsort(lines_list)
            return(verse_order)

        trans_license = {}
        trans_copyright = {}
        id = -1
        #print(f'beginning groups, starting with {list(vgroups)[0]}')
        for group in vgroups:
            #print(group)
            if v2split.get(list(group)[0]) == split:
                #print('correct split')
                if len(group) > 1:
                    v_order = order_verses(group)
                    o_group = list(np.array(list(group))[v_order])

                else:
                    o_group = list(group)
                trans_dict={k:{} for k in langs}
                trans_texts = {k:{} for k in langs}
                used_idxes = {k:[] for k in langs}
                for v in o_group:
                    #print(f'trying verse {v}')
                    single_texts = {k:{} for k in langs}
                    single_dict = {k:{} for k in langs}
                    for lang in langs:
                        if vindexes[lang].get(v):
                            try:
                                for i in range(0,len(list(vindexes[lang][v]))):
                                    if list(vindexes[lang][v])[i] not in used_idxes[lang]:
                                        used_idxes[lang].append(vindexes[lang][v])
                                        line = corpus[lang][vindexes[lang][v][i]]
                                        if not trans_texts.get(line['file']):
                                            trans_texts[lang][line['file']]=line['text']
                                        else:
                                            trans_texts[lang][line['file']] += f' {line["text"]}'
                                        if line.get('license'):
                                            trans_license[line['file']]=line['license']
                                        if line.get('copyright'):
                                            trans_copyright[line['file']]=line['copyright']
                                        if len(line['verses']) == 1:
                                            single_texts[lang][line['file']] = line['text']
                            except:
                                print(lang,v)
                                raise
                    
                        single_dict[lang]=list(single_texts[lang].values())
                        trans_dict[lang]=list(trans_texts[lang].values())
                        
                    single_file = {x:list(single_texts[x].keys()) for x in langs}
                    sing_v_order = {x:np.argsort(list(single_texts[x].values())) for x in langs}
                    lang_order = np.argsort(langs)
                    single_lic_list =[]
                    single_copy_list = []
                    for lang in [langs[x] for x in lang_order]:
                        single_lic_list.extend([trans_license.get(single_file[lang][x],'') for x in sing_v_order[lang]])
                        single_copy_list.extend([trans_copyright.get(single_file[lang][x],'') for x in sing_v_order[lang]])
                    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':
                        id = id + 1 
                        sfile_list = []
                        for key in [langs[x] for x in lang_order]:
                            for value in [single_file.get(key)[x] for x in sing_v_order.get(key)]:
                                sfile_list.append({'lang':key,'file':value})

                        #print('outputting single example')
                       # print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
                        try:
                            yield(id, {'translation': single_dict, 'files': sfile_list, 'ref':[v], 'licenses':single_lic_list, 'copyrights':single_copy_list}) 
                        except:
                            print(id, single_dict, sfile_list, v, single_lic_list, single_copy_list)
                            raise

                file_list = {x:list(trans_texts[x].keys()) for x in langs}
                trans_v_order = {x:np.argsort(list(trans_texts[x].values())) for x in langs}
                lang_order = np.argsort(langs)
                #license_list = [trans_license.get(x,'') for x in [y for y in file_list.values()]]
                #copyright_list = [trans_copyright.get(x,'') for x in [y for y in file_list.values()]]
                license_list = []
                copyright_list = []
                for lang in [langs[x] for x in lang_order]:
                    license_list.extend([trans_license.get(file_list[lang][x],'') for x in trans_v_order[lang]])
                    copyright_list .extend([trans_copyright.get(file_list[lang][x],'') for x in trans_v_order[lang]])
                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':
                    id = id + 1
                    ofile_list = []
                    for key in [langs[x] for x in lang_order]:
                        for value in [file_list.get(key)[x] for x in trans_v_order.get(key)]:
                            ofile_list.append({'lang':key,'file':value})
                    #print('outputting range example')
                    try:
                        yield(id, {'translation': trans_dict, 'files': ofile_list, 'ref':o_group, 'licenses':license_list, 'copyrights':copyright_list})
                    except:
                        print(id, trans_dict, ofile_list, o_group, license_list, copyright_list)
                        raise