def load_all(index: Index):
url = "http://phontron.com/data/ted_talks.tar.gz"
cite = index.ref_db.get_bibtex('Ye2018WordEmbeddings')
header = (
"-,en,es,pt-br,fr,ru,he,ar,ko,zh-cn,it,ja,zh-tw,nl,ro,tr,de,vi,pl,pt,bg,el,fa,sr,hu,hr,"
"uk,cs,id,th,sv,sk,sq,lt,da,calv-,my,sl,mk,fr-ca,fi,hy,hi,nor,ka,mn,et,ku,gl,mr,zh,ur,"
"eo,ms,az,ta,bn,kk,be,eu,bs").split(',')
col_idx = {lang: idx for idx, lang in enumerate(header)}
# langs that I care; exclude <lang>-<country> bcoz the iso3 code doesnt have a way to map it
langs = [x for x in header if '-' not in x]
for split in ['train', 'test', 'dev']:
for idx1, lang1 in enumerate(langs):
col1 = col_idx[lang1]
for lang2 in langs[idx1 + 1:]:
col2 = col_idx[lang2]
ent = NoisyEntry(
did=DatasetId(group='Neulab',
name=f'tedtalks_{split}',
version='1',
langs=(lang1, lang2)),
filename='neulab_ted_talksv1.tar.gz',
url=url,
in_paths=[f"all_talks_{split}.tsv"],
in_ext='tsv',
cols=(col1, col2),
cite=cite,
)
index.add_entry(ent)
def load(index: Index):
content = """EESC2017::bg-de bg-en bg-fr cs-de cs-en cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-pl en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
EMA2016::bg-de bg-en bg-fr cs-de cs-en cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-no de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pl en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-no fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
airbaltic::de-en de-et de-fi de-lt de-lv de-ru en-et en-fi en-lt en-lv en-ru et-fi et-lt et-lv et-ru fi-lt fi-lv fi-ru lt-lv lt-ru lv-ru
czechtourism::de-en de-es de-fr de-it de-pl de-pt de-ru en-es en-fr en-it en-pl en-pt en-ru es-fr es-it es-pl es-pt es-ru fr-it fr-pl fr-pt fr-ru it-pl it-pt it-ru pl-pt pl-ru pt-ru
ecb2017::bg-cs bg-da bg-de bg-el bg-en bg-es bg-et bg-fi bg-fr bg-hr bg-hu bg-it bg-lt bg-lv bg-mt bg-nl bg-pl bg-pt bg-ro bg-sk bg-sl bg-sv cs-da cs-de cs-el cs-en cs-es cs-et cs-fi cs-fr cs-hr cs-hu cs-it cs-lt cs-lv cs-mt cs-nl cs-pl cs-pt cs-ro cs-sk cs-sl cs-sv da-de da-el da-en da-es da-et da-fi da-fr da-hr da-hu da-it da-lt da-lv da-mt da-nl da-pl da-pt da-ro da-sk da-sl da-sv de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-it de-lt de-lv de-mt de-nl de-pl de-pt de-ro de-sk de-sl de-sv el-en el-es el-et el-fi el-fr el-hr el-hu el-it el-lt el-lv el-mt el-nl el-pl el-pt el-ro el-sk el-sl el-sv en-es en-et en-fi en-fr en-hr en-hu en-it en-lt en-lv en-mt en-nl en-pl en-pt en-ro en-sk en-sl en-sv es-et es-fi es-fr es-hr es-hu es-it es-lt es-lv es-mt es-nl es-pl es-pt es-ro es-sk es-sl es-sv et-fi et-fr et-hr et-hu et-it et-lt et-lv et-mt et-nl et-pl et-pt et-ro et-sk et-sl et-sv fi-fr fi-hr fi-hu fi-it fi-lt fi-lv fi-mt fi-nl fi-pl fi-pt fi-ro fi-sk fi-sl fi-sv fr-hr fr-hu fr-it fr-lt fr-lv fr-mt fr-nl fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv hr-hu hr-it hr-lt hr-lv hr-mt hr-nl hr-pl hr-pt hr-ro hr-sk hr-sl hr-sv hu-it hu-lt hu-lv hu-mt hu-nl hu-pl hu-pt hu-ro hu-sk hu-sl hu-sv it-lt it-lv it-mt it-nl it-pl it-pt it-ro it-sk it-sl it-sv lt-lv lt-mt lt-nl lt-pl lt-pt lt-ro lt-sk lt-sl lt-sv lv-mt lv-nl lv-pl lv-pt lv-ro lv-sk lv-sl lv-sv mt-nl mt-pl mt-pt mt-ro mt-sk mt-sl mt-sv nl-pl nl-pt nl-ro nl-sk nl-sl nl-sv pl-pt pl-ro pl-sk pl-sl pl-sv pt-ro pt-sk pt-sl pt-sv ro-sk ro-sl ro-sv sk-sl sk-sv sl-sv
fold::en-lv
rapid2016::bg-de bg-en bg-fr cs-de cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-no de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-no fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
rapid2019::cs-en de-en en-pl
worldbank::en-es en-fr en-hr en-pl en-pt en-ro en-ru en-sq en-sr en-tr en-uk"""
cite = index.ref_db.get_bibtex('rozis-skadins-2017-tilde')
TILDE = 'https://tilde-model.s3-eu-west-1.amazonaws.com/%s.%s-%s.tmx.zip'
for line in content.splitlines():
line = line.strip()
name, pairs = line.split('::')
for pair in pairs.split(' '):
l1, l2 = pair.split('-')
url = TILDE % (name, l1, l2)
index.add_entry(
Entry(langs=(l1, l2),
name=name,
url=url,
cite=cite,
in_paths=["*.tmx"],
in_ext='tmx'))
def load_all(index: Index):
cite = """@inproceedings{post-etal-2012-constructing,
title = "Constructing Parallel Corpora for Six {I}ndian Languages via Crowdsourcing",
author = "Post, Matt and
Callison-Burch, Chris and
Osborne, Miles",
booktitle = "Proceedings of the Seventh Workshop on Statistical Machine Translation",
month = jun,
year = "2012",
address = "Montr{\'e}al, Canada",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W12-3152",
pages = "401--409",
}"""
url = 'https://github.com/joshua-decoder/indian-parallel-corpora/archive/a2cd1a99.tar.gz'
l2 = 'en'
langs = ['ml', 'hi', 'ur', 'bn', 'te', 'ta']
for l1 in langs:
for split in ['training', 'dev', 'test', 'devtest', 'dict']:
if l1 == 'hi' and split == 'dict':
continue # hindi dont have dict
f1 = f'*/{l1}-{l2}/{split}.{l1}-{l2}.{l1}'
f2 = f'*/{l1}-{l2}/{split}.{l1}-{l2}.{l2}'
if split not in ('training', 'dict'):
f2 += '.0'
ent = Entry(langs=(l1, l2),
url=url,
name=f'JoshuaIndianCorpus_{split}',
filename='joshua-indian-parallel-corpora.tar.gz',
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
def load(index: Index):
CONTENT = """EESC2017::bg-de bg-en bg-fr cs-de cs-en cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-pl en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
EMA2016::bg-de bg-en bg-fr cs-de cs-en cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-no de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pl en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-no fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
airbaltic::de-en de-et de-fi de-lt de-lv de-ru en-et en-fi en-lt en-lv en-ru et-fi et-lt et-lv et-ru fi-lt fi-lv fi-ru lt-lv lt-ru lv-ru
czechtourism::de-en de-es de-fr de-it de-pl de-pt de-ru en-es en-fr en-it en-pl en-pt en-ru es-fr es-it es-pl es-pt es-ru fr-it fr-pl fr-pt fr-ru it-pl it-pt it-ru pl-pt pl-ru pt-ru
ecb2017::bg-cs bg-da bg-de bg-el bg-en bg-es bg-et bg-fi bg-fr bg-hr bg-hu bg-it bg-lt bg-lv bg-mt bg-nl bg-pl bg-pt bg-ro bg-sk bg-sl bg-sv cs-da cs-de cs-el cs-en cs-es cs-et cs-fi cs-fr cs-hr cs-hu cs-it cs-lt cs-lv cs-mt cs-nl cs-pl cs-pt cs-ro cs-sk cs-sl cs-sv da-de da-el da-en da-es da-et da-fi da-fr da-hr da-hu da-it da-lt da-lv da-mt da-nl da-pl da-pt da-ro da-sk da-sl da-sv de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-it de-lt de-lv de-mt de-nl de-pl de-pt de-ro de-sk de-sl de-sv el-en el-es el-et el-fi el-fr el-hr el-hu el-it el-lt el-lv el-mt el-nl el-pl el-pt el-ro el-sk el-sl el-sv en-es en-et en-fi en-fr en-hr en-hu en-it en-lt en-lv en-mt en-nl en-pl en-pt en-ro en-sk en-sl en-sv es-et es-fi es-fr es-hr es-hu es-it es-lt es-lv es-mt es-nl es-pl es-pt es-ro es-sk es-sl es-sv et-fi et-fr et-hr et-hu et-it et-lt et-lv et-mt et-nl et-pl et-pt et-ro et-sk et-sl et-sv fi-fr fi-hr fi-hu fi-it fi-lt fi-lv fi-mt fi-nl fi-pl fi-pt fi-ro fi-sk fi-sl fi-sv fr-hr fr-hu fr-it fr-lt fr-lv fr-mt fr-nl fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv hr-hu hr-it hr-lt hr-lv hr-mt hr-nl hr-pl hr-pt hr-ro hr-sk hr-sl hr-sv hu-it hu-lt hu-lv hu-mt hu-nl hu-pl hu-pt hu-ro hu-sk hu-sl hu-sv it-lt it-lv it-mt it-nl it-pl it-pt it-ro it-sk it-sl it-sv lt-lv lt-mt lt-nl lt-pl lt-pt lt-ro lt-sk lt-sl lt-sv lv-mt lv-nl lv-pl lv-pt lv-ro lv-sk lv-sl lv-sv mt-nl mt-pl mt-pt mt-ro mt-sk mt-sl mt-sv nl-pl nl-pt nl-ro nl-sk nl-sl nl-sv pl-pt pl-ro pl-sk pl-sl pl-sv pt-ro pt-sk pt-sl pt-sv ro-sk ro-sl ro-sv sk-sl sk-sv sl-sv
fold::en-lv
rapid2016::bg-de bg-en bg-fr cs-de cs-fr da-de da-en da-fr de-el de-en de-es de-et de-fi de-fr de-hr de-hu de-is de-it de-lt de-lv de-mt de-nl de-no de-pl de-pt de-ro de-sk de-sl de-sv el-en el-fr en-es en-et en-fi en-fr en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pt en-ro en-sk en-sl en-sv es-fr et-fr fi-fr fr-hr fr-hu fr-is fr-it fr-lt fr-lv fr-mt fr-nl fr-no fr-pl fr-pt fr-ro fr-sk fr-sl fr-sv
rapid2019::cs-en de-en en-pl
worldbank::en-es en-fr en-hr en-pl en-pt en-ro en-ru en-sq en-sr en-tr en-uk"""
TILDE_CITE = """@inproceedings{rozis-skadins-2017-tilde,
title = "Tilde {MODEL} - Multilingual Open Data for {EU} Languages",
author = "Rozis, Roberts and
Skadi{\c{n}}{\v{s}}, Raivis",
booktitle = "Proceedings of the 21st Nordic Conference on Computational Linguistics",
month = may,
year = "2017",
address = "Gothenburg, Sweden",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W17-0235",
pages = "263--265",
}"""
TILDE = 'https://tilde-model.s3-eu-west-1.amazonaws.com/%s.%s-%s.tmx.zip'
for line in CONTENT.splitlines():
line = line.strip()
name, pairs = line.split('::')
for pair in pairs.split(' '):
l1, l2 = pair.split('-')
url = TILDE % (name, l1, l2)
index.add_entry(
Entry(langs=(l1, l2),
name=name,
url=url,
cite=TILDE_CITE,
in_paths=["*.tmx"]))
def load_all(index: Index):
url = "http://phontron.com/data/ted_talks.tar.gz"
cite = """@inproceedings{Ye2018WordEmbeddings,
author = {Ye, Qi and Devendra, Sachan and Matthieu, Felix and Sarguna, Padmanabhan and Graham, Neubig},
title = {When and Why are pre-trained word embeddings useful for Neural Machine Translation},
booktitle = {HLT-NAACL},
year = {2018},
}"""
header = (
"-,en,es,pt-br,fr,ru,he,ar,ko,zh-cn,it,ja,zh-tw,nl,ro,tr,de,vi,pl,pt,bg,el,fa,sr,hu,hr,"
"uk,cs,id,th,sv,sk,sq,lt,da,calv-,my,sl,mk,fr-ca,fi,hy,hi,nor,ka,mn,et,ku,gl,mr,zh,ur,"
"eo,ms,az,ta,bn,kk,be,eu,bs").split(',')
col_idx = {lang: idx for idx, lang in enumerate(header)}
# langs that I care; exclude <lang>-<country> bcoz the iso3 code doesnt have a way to map it
langs = [x for x in header if '-' not in x]
for split in ['train', 'test', 'dev']:
for idx1, lang1 in enumerate(langs):
col1 = col_idx[lang1]
for lang2 in langs[idx1 + 1:]:
col2 = col_idx[lang2]
ent = NoisyEntry(langs=(lang1, lang2),
name=f"neulab_tedtalksv1_{split}",
filename='neulab_ted_talksv1.tar.gz',
url=url, in_paths=[f"all_talks_{split}.tsv"],
cols=(col1, col2), cite=cite)
index.add_entry(ent)
def load_all(index: Index):
with open(REFS_FILE, encoding='utf-8') as data:
for line in data:
l1, l2, num, short, name, info, download, licenses, in_paths = line.split('\t', maxsplit=8)
dataset_name = short.lower().replace(':', '_').replace('__', '_').replace('__', '_')
in_paths = in_paths.strip().split('\t')
ent = Entry(did=DatasetId(group='ELRC', name=dataset_name, version='1', langs=(l1, l2)),
url=download, filename="ELRC_" + str(num) + ".zip", in_ext='tmx', in_paths=in_paths)
index.add_entry(ent)
def load_all(index: Index):
url_ptn = 'https://www.dropbox.com/s/{uid}/wikititles-2014_{l1}{l2}.tgz?dl=1'
rows = [row.split(',') for row in wiki_titles.splitlines()]
for row in rows:
uid, pair = row
assert len(pair) == 4
l1, l2 = pair[:2], pair[2:]
url = url_ptn.format(uid=uid, l1=l1, l2=l2)
in_file = f'wikititles-2014_{l1}{l2}'
ent = Entry(did=DatasetId(group='LinguaTools', name=f'wikititles', version='2014', langs=(l1, l2)),
url=url, ext='tgz', in_ext='txt', in_paths=[f'{in_file}.{l1}', f'{in_file}.{l2}'])
index.add_entry(ent)
def load_all(index: Index):
with open(REFS_FILE) as data:
for line in data:
l1, l2, num, short, name, info, download, licenses, in_paths = line.split(
'\t', maxsplit=8)
in_paths = in_paths.strip().split('\t')
ent = Entry(langs=(l1, l2),
url=download,
name="ELRC_" + short,
filename="ELRC_" + str(num) + ".zip",
in_ext='tmx',
in_paths=in_paths)
index.add_entry(ent)
def load_all(index: Index):
url_pat = 'https://object.pouta.csc.fi/OPUS-{corpus}/{version}/moses/{l1}-{l2}.txt.zip'
group_id = 'OPUS'
citation = index.ref_db.get_bibtex('tiedemann2012parallel')
skip_counts = defaultdict(int)
dupes = defaultdict(set)
assert data_file.exists()
assert data_file.stat().st_size > 0
with data_file.open() as lines:
for line in lines:
line = line.strip()
if not line: # empty lines in the top and bottom
continue
assert len(line.split('\t')) == 4, line
corpus, version, l1, l2 = line.split('\t')
url = url_pat.format(corpus=corpus, version=version, l1=l1, l2=l2)
iso_l1, iso_l2 = bcp47.try_parse(
l1, default=None), bcp47.try_parse(l2, default=None)
if not iso_l1 or not iso_l2:
if not iso_l1:
skip_counts[str(l1)] += 1
if not iso_l2:
skip_counts[str(l2)] += 1
continue
version_cln = version.replace('-', '').lower()
corpus_cln = corpus.replace('-', '_').lower()
data_id = DatasetId(group=group_id,
name=corpus_cln,
version=version_cln,
langs=(iso_l1, iso_l2))
if data_id in index:
dupes[corpus].add(f'{l1}-{l2}')
continue
entry = Entry(did=data_id,
url=url,
cite=citation,
in_paths=[f'*.{l1}', f'*.{l2}'],
in_ext='txt')
index.add_entry(entry)
if skip_counts:
skip_counts = list(
sorted(dict(skip_counts).items(),
key=lambda x: x[1],
reverse=True))
log.info(f"Skipped lang counts: {skip_counts}")
if dupes:
log.info(f"Duplicates langs: {dupes}")
def load_all(index: Index):
cite = index.ref_db.get_bibtex('ramesh2021samanantar')
pairs = ('en-as en-bn en-gu en-hi en-kn en-ml en-mr en-or en-pa en-ta en-te as-bn as-gu as-hi'
' as-kn as-ml as-mr as-or as-pa as-ta as-te bn-gu bn-hi bn-kn bn-ml bn-mr bn-or bn-pa'
' bn-ta bn-te gu-hi gu-kn gu-ml gu-mr gu-or gu-pa gu-ta gu-te hi-kn hi-ml hi-mr hi-or'
' hi-pa hi-ta hi-te kn-ml kn-mr kn-or kn-pa kn-ta kn-te ml-mr ml-or ml-pa ml-ta ml-te'
' mr-or mr-pa mr-ta mr-te or-pa or-ta or-te pa-ta pa-te ta-te')
BASE_v0_2 = 'https://storage.googleapis.com/samanantar-public/V0.2/data/{dirname}/{pair}.zip'
for pair in pairs.strip().split(' '):
l1, l2 = pair.split('-')
dirname = 'en2indic' if l1 == 'en' else 'indic2indic'
url = BASE_v0_2.format(dirname=dirname, pair=pair)
ent = Entry(langs=(l1, l2), name='AI4B_Samananthar_v02', url=url, cite=cite,
in_paths=[f'{pair}/train.{l1}', f'{pair}/train.{l2}'], in_ext='txt')
index.add_entry(ent)
def load(index: Index):
vaswani_etal_2017 = Paper(
name="vaswani-etal-2017",
title="Attention is all you need",
url="https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf",
cite=index.ref_db.get_bibtex('vaswani2017attention'),
experiments=[
Experiment.make(index=index,
langs=('eng', 'deu'),
train=[
'wmt13_europarl_v7', 'wmt13_commoncrawl',
'wmt18_news_commentary_v13'
],
tests=['newstest2013', 'newstest2014_deen'])
])
index.add_paper(vaswani_etal_2017)
def load_all(index: Index):
cite = index.ref_db.get_bibtex('ziemski-etal-2016-united')
url = "https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.testsets.tar.gz"
langs = ['en', 'ar', 'fr', 'es', 'ru', 'zh']
for split in ['dev', 'test']:
for l1, l2 in itertools.combinations(langs, 2):
f1 = f'testsets/{split}set/UNv1.0.{split}set.{l1}'
f2 = f'testsets/{split}set/UNv1.0.{split}set.{l2}'
ent = Entry(langs=(l1, l2),
url=url,
filename='UNv1.0.testsets.tar.gz',
name=f'UNv1_{split}',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
def load_all(index: Index):
lines = data_file.read_text(encoding='utf-8').splitlines()
langs = set('hi bn ta ml te kn mr pa gu as ur or'.split()) # other than en
group_id = 'Anuvaad'
cite_txt = index.ref_db.get_bibtex('project-anuvaad')
for url in lines:
url = url.strip()
assert url.startswith('http') and url.endswith('.zip')
file_name = url.split('/')[-1]
file_name = file_name[:-4] # .zip
char_count = coll.Counter(list(file_name))
n_hyps = char_count.get('-', 0)
n_unders = char_count.get('_', 0)
if n_hyps > n_unders:
parts = file_name.split('-')
else:
assert '_' in file_name
parts = file_name.split('_')
name, version = '?', '?'
l1, l2 = 'en', '?'
if parts[-2] == l1 and parts[-1] in langs:
l2 = parts[-1]
version = parts[-3]
elif parts[-3] == l1 and parts[-2] in langs:
l2 = parts[-2]
version = parts[-1]
else:
log.warn(f"Unable to parse {file_name} :: {parts}")
continue
name = '_'.join(parts[:-3])
name = name.replace('-', '_')
f1 = f'{l1}-{l2}/*.{l1}'
f2 = f'{l1}-{l2}/*.{l2}'
if name == 'wikipedia':
f1 = f'{l1}-{l2}/{l1}.txt'
f2 = f'{l1}-{l2}/{l2}.txt'
ent = Entry(did=DatasetId(group=group_id,
name=name,
version=version,
langs=(l1, l2)),
url=url,
ext='zip',
in_ext='txt',
in_paths=[f1, f2],
cite=cite_txt)
index.add_entry(ent)
def load_all(index: Index):
URL = "https://object.pouta.csc.fi/OPUS-100/v1.0/opus-100-corpus-v1.0.tar.gz"
cite = index.ref_db.get_bibtex('zhang-etal-2020-improving')
cite += '\n\n' + index.ref_db.get_bibtex('tiedemann2012parallel')
filename = 'opus-100-corpus-v1.0.tar.gz'
code_map = dict(
nb='nob',
sh='hbs') # these arent obvious to iso lookup function, so helping
group, name = 'OPUS', 'opus100'
for pair in supervised_v1:
l1, l2 = pair.split("-")
l1 = code_map.get(l1, l1)
l2 = code_map.get(l2, l2)
splits = ['train', 'dev', 'test']
if pair in {'an-en', 'en-yo', 'dz-en', 'en-hy', 'en-mn'}:
splits = ['train'
] # somehow they forgot to include test sets for these
for split in splits:
f1 = f'opus-100-corpus/v1.0/supervised/{l1}-{l2}/opus.{l1}-{l2}-{split}.{l1}'
f2 = f'opus-100-corpus/v1.0/supervised/{l1}-{l2}/opus.{l1}-{l2}-{split}.{l2}'
ent = Entry(did=DatasetId(group=group,
name=f'{name}_{split}',
version='1',
langs=(l1, l2)),
url=URL,
filename=filename,
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
for pair in zeroshot_v1:
l1, l2 = pair.split("-")
f1 = f'opus-100-corpus/v1.0/zero-shot/{l1}-{l2}/opus.{l1}-{l2}-test.{l1}'
f2 = f'opus-100-corpus/v1.0/zero-shot/{l1}-{l2}/opus.{l1}-{l2}-test.{l2}'
ent = Entry(did=DatasetId(group=group,
name=f'{name}_test',
version='1',
langs=(l1, l2)),
url=URL,
filename=filename,
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
def load_all(index: Index):
cite = index.ref_db.get_bibtex('ziemski-etal-2016-united')
url = "https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.testsets.tar.gz"
url = "https://drive.google.com/uc?export=download&id=13GI1F1hvwpMUGBSa0QC6ov4eE57GC_Zx" # they changed it!
langs = ['en', 'ar', 'fr', 'es', 'ru', 'zh']
for split in ['dev', 'test']:
for l1, l2 in itertools.combinations(langs, 2):
f1 = f'testsets/{split}set/UNv1.0.{split}set.{l1}'
f2 = f'testsets/{split}set/UNv1.0.{split}set.{l2}'
ent = Entry(did=DatasetId(group='UN',
name=f'un_{split}',
version='1',
langs=(l1, l2)),
url=url,
filename='UNv1.0.testsets.tar.gz',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
def load(index: Index):
vaswani_etal_2017 = Paper(
name="vaswani-etal-2017",
title="Attention is all you need",
url="https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf",
cite="""@inproceedings{vaswani2017attention,
title={Attention is all you need},
author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
booktitle={Advances in neural information processing systems},
pages={5998--6008},
year={2017}
}""",
experiments=[
Experiment.make(langs=('eng', 'deu'),
train=[
'wmt13_europarl_v7', 'wmt13_commoncrawl',
'wmt18_news_commentary_v13'
],
tests=['newstest2013', 'newstest2014_deen'])
])
index.add_paper(vaswani_etal_2017)
def load_all(index: Index):
cite = index.ref_db.get_bibtex(key='post-etal-2012-constructing')
url = 'https://github.com/joshua-decoder/indian-parallel-corpora/archive/a2cd1a99.tar.gz'
l2 = 'en'
langs = ['ml', 'hi', 'ur', 'bn', 'te', 'ta']
for l1 in langs:
for split in ['training', 'dev', 'test', 'devtest', 'dict']:
if l1 == 'hi' and split == 'dict':
continue # hindi dont have dict
f1 = f'*/{l1}-{l2}/{split}.{l1}-{l2}.{l1}'
f2 = f'*/{l1}-{l2}/{split}.{l1}-{l2}.{l2}'
if split not in ('training', 'dict'):
f2 += '.0'
ent = Entry(langs=(l1, l2),
url=url,
name=f'JoshuaIndianCorpus_{split}',
filename='joshua-indian-parallel-corpora.tar.gz',
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
def load_all(index: Index):
# === ECDC ===
# https://ec.europa.eu/jrc/en/language-technologies/ecdc-translation-memory
cite = index.ref_db.get_bibtex('Steinberger2014')
langs = 'en bg cs da de el es et fi fr ga hu is it lt lv mt nl no pl pt ro sk sl sv'.split()
for i, l1 in enumerate(langs):
for l2 in langs[i+1:]:
ent = Entry(langs=(l1, l2), url="http://optima.jrc.it/Resources/ECDC-TM/ECDC-TM.zip",
name="ECDC", in_ext='tmx', cite=cite, in_paths=["ECDC-TM/ECDC.tmx"])
index.add_entry(ent)
# === EAC ===
# https://ec.europa.eu/jrc/en/language-technologies/eac-translation-memory
# This corpus has two
langs = 'bg cs da de el en es et fi fr hu is it lt lv mt nb nl pl pt ro sk sl sv tr'.split()
for i, l1 in enumerate(langs):
for l2 in langs[i+1:]:
ent = Entry(langs=(l1, l2), url="https://wt-public.emm4u.eu/Resources/EAC-TM/EAC-TM-all.zip",
name="EAC_Forms", in_ext='tmx', cite=cite, in_paths=["EAC_FORMS.tmx"])
index.add_entry(ent)
langs = 'bg cs da de el en es et fi fr hr hu is it lt lv mt nl no pl pt ro sk sl sv tr'.split()
for i, l1 in enumerate(langs):
for l2 in langs[i+1:]:
ent = Entry(langs=(l1, l2), url="https://wt-public.emm4u.eu/Resources/EAC-TM/EAC-TM-all.zip",
name="EAC_Reference", in_ext='tmx', cite=cite, in_paths=["EAC_REFRENCE_DATA.tmx"])
index.add_entry(ent)
# === DCEP ===
# https://ec.europa.eu/jrc/en/language-technologies/dcep
# This was annoying to process so I ended up rehosting it.
# Don't bother with TR; it doesn't have sentences anyway.
cite = index.ref_db.get_bibtex('dcep')
langs = 'BG CS DA DE EL EN ES ET FI FR GA HU IT LT LV MT NL PL PT RO SK SL SV'.split()
for i, l1 in enumerate(langs):
for l2 in langs[i+1:]:
ent = Entry(langs=(l1, l2), url=f"http://data.statmt.org/DCEP/{l1}-{l2}.tsv.xz",
name="DCEP", in_ext='tsv', cite=cite)
index.add_entry(ent)
def load(index: Index):
# === Para crawl corpus
PARACRAWL_v3 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release3/%s-%s.bicleaner07.tmx.gz'
cite = r"""@inproceedings{espla-etal-2019-paracrawl,
title = "{P}ara{C}rawl: Web-scale parallel corpora for the languages of the {EU}",
author = "Espl{\`a}, Miquel and
Forcada, Mikel and
Ram{\'\i}rez-S{\'a}nchez, Gema and
Hoang, Hieu",
booktitle = "Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks",
month = aug,
year = "2019",
address = "Dublin, Ireland",
publisher = "European Association for Machine Translation",
url = "https://www.aclweb.org/anthology/W19-6721",
pages = "118--119",
}"""
for pair in ['en cs', 'en de', 'en fi', 'en lt']:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v3',
url=PARACRAWL_v3 % (l1, l2),
cite=cite))
# === Paracrawl V6
PARACRAWL_v6 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.txt.gz'
for l2 in [
'is', 'bg', 'hr', 'cs', 'da', 'nl', 'et', 'fi', 'fr', 'de', 'el',
'hu', 'ga', 'it', 'lv', 'lt', 'mt', 'pl', 'pt', 'ro', 'sk', 'sl',
'es', 'sv'
]:
l1 = 'en'
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v6',
url=PARACRAWL_v6 % (l1, l2),
cite=cite,
ext='tsv.gz'))
# these are bonus
PARACRAWL_v6_B = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.bicleaner07.txt.gz'
for l1, l2 in [('nl', 'fr'), ('pl', 'de')]:
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v6',
url=PARACRAWL_v6_B % (l1, l2),
cite=cite,
ext='tsv.gz'))
def load_all(index: Index):
data="""an-ca an-de an-en an-es an-fr an-gl an-it an-pl an-pt an-ru ar-arz ar-az ar-ba ar-be ar-bg ar-bn ar-br ar-bs ar-ca ar-ceb
ar-cs ar-da ar-de ar-el ar-en ar-eo ar-es ar-et ar-eu ar-fa ar-fi ar-fr ar-gl ar-he ar-hi ar-hr ar-hu ar-id ar-is ar-it
ar-ja ar-kk ar-ko ar-lt ar-mk ar-ml ar-mr ar-nds ar-ne ar-nl ar-no ar-pl ar-pt ar-ro ar-ru ar-sh ar-si ar-sk ar-sl ar-sq
ar-sr ar-sv ar-sw ar-ta ar-te ar-tl ar-tr ar-tt ar-uk ar-vi arz-de arz-en arz-es arz-fr ar-zh arz-it arz-pt arz-ru as-de as-es
as-fr as-it azb-fr az-bg az-ca az-cs az-da az-de az-el az-en az-es az-et az-fa az-fi az-fr az-gl az-he az-hr az-hu az-id
az-it az-ja az-ko az-nl az-no az-pl az-pt az-ro az-ru az-sr az-sv az-ta az-tr az-uk az-vi az-zh ba-bg ba-ca ba-cs ba-da
ba-de ba-el ba-en ba-es ba-fi ba-fr ba-gl ba-hr ba-hu ba-id ba-it ba-ja ba-nl ba-no ba-pl ba-pt bar-de bar-en bar-es bar-fr
bar-it ba-ro bar-pt bar-ru ba-ru ba-sh ba-sk ba-sl ba-sr ba-sv ba-tr ba-uk ba-zh be-bg be-ca be-cs be-de be-en be-es be-fi
be-fr be-he be-hu be-it be-ja be-nl be-no be-pl be-pt be-ro be-ru be-sr be-sv be-uk bg-bn bg-bs bg-ca bg-ceb bg-cs bg-da
bg-de bg-el bg-en bg-eo bg-es bg-et bg-eu bg-fa bg-fi bg-fr bg-gl bg-he bg-hi bg-hr bg-hu bg-id bg-is bg-it bg-ja bg-kk
bg-ko bg-lt bg-mk bg-ml bg-mr bg-nds bg-ne bg-nl bg-no bg-pl bg-pt bg-ro bg-ru bg-sh bg-si bg-sk bg-sl bg-sq bg-sr bg-sv
bg-sw bg-ta bg-te bg-tl bg-tr bg-tt bg-uk bg-vi bg-zh bn-bs bn-ca bn-cs bn-da bn-de bn-el bn-en bn-eo bn-es bn-et bn-eu
bn-fa bn-fi bn-fr bn-gl bn-he bn-hi bn-hr bn-hu bn-id bn-it bn-ja bn-ko bn-lt bn-mk bn-nl bn-no bn-pl bn-pt bn-ro bn-ru
bn-sh bn-sk bn-sl bn-sq bn-sr bn-sv bn-ta bn-tr bn-uk bn-vi bn-zh br-de br-en br-es br-fr br-it br-pt br-ru br-uk bs-ca
bs-cs bs-da bs-de bs-el bs-en bs-eo bs-es bs-et bs-eu bs-fa bs-fi bs-fr bs-gl bs-he bs-hi bs-hr bs-hu bs-id bs-is bs-it
bs-ja bs-ko bs-lt bs-mk bs-ml bs-mr bs-nl bs-no bs-pl bs-pt bs-ro bs-ru bs-sh bs-si bs-sk bs-sl bs-sq bs-sr bs-sv bs-ta
bs-te bs-tl bs-tr bs-uk bs-vi bs-zh ca-ceb ca-cs ca-da ca-de ca-el ca-en ca-eo ca-es ca-et ca-eu ca-fa ca-fi ca-fo ca-fr
ca-fy ca-gl ca-he ca-hi ca-hr ca-hu ca-id ca-is ca-it ca-ja ca-ka ca-kk ca-ko ca-la ca-lb ca-lt ca-mk ca-ml ca-mr ca-nds
ca-ne ca-nl ca-no ca-oc ca-pl ca-pt ca-ro ca-ru ca-sh ca-si ca-sk ca-sl ca-sq ca-sr ca-sv ca-sw ca-ta ca-te ca-tl ca-tr
ca-tt ca-uk ca-vi ca-zh ceb-cs ceb-de ceb-en ceb-es ceb-fi ceb-fr ceb-hu ceb-it ceb-ja ceb-nl ceb-no ceb-pl ceb-pt ceb-ro ceb-ru ceb-sv
ceb-uk cs-da cs-de cs-el cs-en cs-eo cs-es cs-et cs-eu cs-fa cs-fi cs-fr cs-fy cs-gl cs-he cs-hi cs-hr cs-hu cs-id cs-is
cs-it cs-ja cs-ka cs-kk cs-ko cs-la cs-lt cs-mk cs-ml cs-mr cs-nds cs-ne cs-nl cs-no cs-oc cs-pl cs-pt cs-ro cs-ru cs-sh
cs-si cs-sk cs-sl cs-sq cs-sr cs-sv cs-sw cs-ta cs-te cs-tl cs-tr cs-tt cs-uk cs-vi cs-zh da-de da-el da-en da-eo da-es
da-et da-eu da-fa da-fi da-fo da-fr da-gl da-he da-hi da-hr da-hu da-id da-is da-it da-ja da-ko da-lt da-mk da-ml da-mr
da-nds da-ne da-nl da-no da-pl da-pt da-ro da-ru da-sh da-si da-sk da-sl da-sq da-sr da-sv da-sw da-ta da-te da-tl da-tr
da-tt da-uk da-vi da-zh de-el de-en de-eo de-es de-et de-eu de-fa de-fi de-fo de-fr de-fy de-gl de-gom de-he de-hi de-hr
de-hu de-hy de-id de-is de-it de-ja de-ka de-kk de-ko de-la de-lb de-lt de-mk de-ml de-mr de-nds de-ne de-nl de-no de-oc
de-pl de-pt de-rm de-ro de-ru de-sh de-si de-sk de-sl de-sq de-sr de-sv de-sw de-ta de-te de-tg de-tl de-tr de-tt de-uk
de-vi de-wuu de-zh el-en el-eo el-es el-et el-eu el-fa el-fi el-fr el-gl el-he el-hi el-hr el-hu el-id el-is el-it el-ja
el-ko el-lt el-mk el-ml el-mr el-nl el-no el-pl el-pt el-ro el-ru el-sh el-si el-sk el-sl el-sq el-sr el-sv el-sw el-ta
el-te el-tl el-tr el-uk el-vi el-zh en-eo en-es en-et en-eu en-fa en-fi en-fo en-fr en-fy en-gl en-he en-hi en-hr en-hu
en-id en-io en-is en-it en-ja en-jv en-ka en-kk en-ko en-la en-lb en-lmo en-lt en-mg en-mk en-ml en-mr en-mwl en-nds_nl en-nds
en-ne en-nl en-no en-oc en-pl en-pt en-ro en-ru en-sh en-simple en-si en-sk en-sl en-sq en-sr en-sv en-sw en-ta en-te en-tg
en-tl en-tr en-tt en-ug en-uk en-vi en-wuu en-zh eo-es eo-et eo-eu eo-fa eo-fi eo-fr eo-gl eo-he eo-hi eo-hr eo-hu eo-id
eo-is eo-it eo-ja eo-ko eo-lt eo-mk eo-ml eo-mr eo-nds eo-nl eo-no eo-pl eo-pt eo-ro eo-ru eo-sh eo-si eo-sk eo-sl eo-sq
eo-sr eo-sv eo-ta eo-te eo-tl eo-tr eo-uk eo-vi eo-zh es-et es-eu es-fa es-fi es-fo es-fr es-fy es-gl es-gom es-he es-hi
es-hr es-hu es-hy es-id es-is es-it es-ja es-jv es-ka es-kk es-ko es-la es-lb es-lt es-mk es-ml es-mr es-nds es-ne es-nl
es-no es-oc es-pl es-pt es-ro es-ru es-sh es-si es-sk es-sl es-sq es-sr es-sv es-sw es-ta es-te es-tl es-tr es-tt es-uk
es-vi es-wuu es-zh et-eu et-fa et-fi et-fr et-gl et-he et-hi et-hr et-hu et-id et-is et-it et-ja et-ko et-lt et-mk et-ml
et-mr et-nl et-no et-pl et-pt et-ro et-ru et-sh et-si et-sk et-sl et-sq et-sr et-sv et-ta et-te et-tl et-tr et-uk et-vi
et-zh eu-fa eu-fi eu-fr eu-gl eu-he eu-hi eu-hr eu-hu eu-id eu-is eu-it eu-ja eu-ko eu-lt eu-mk eu-ml eu-mr eu-nl eu-no
eu-pl eu-pt eu-ro eu-ru eu-sh eu-sk eu-sl eu-sq eu-sr eu-sv eu-ta eu-te eu-tr eu-uk eu-vi eu-zh fa-fi fa-fr fa-gl fa-he
fa-hi fa-hr fa-hu fa-id fa-it fa-ja fa-ko fa-lt fa-mk fa-ml fa-mr fa-nl fa-no fa-pl fa-pt fa-ro fa-ru fa-sh fa-sk fa-sl
fa-sq fa-sr fa-sv fa-ta fa-te fa-tr fa-uk fa-vi fa-zh fi-fr fi-gl fi-he fi-hi fi-hr fi-hu fi-id fi-is fi-it fi-ja fi-ko
fi-lt fi-mk fi-ml fi-mr fi-nds fi-ne fi-nl fi-no fi-oc fi-pl fi-pt fi-ro fi-ru fi-sh fi-si fi-sk fi-sl fi-sq fi-sr fi-sv
fi-sw fi-ta fi-te fi-tl fi-tr fi-tt fi-uk fi-vi fi-zh fo-fr fo-it fo-nl fo-pl fo-pt fo-ru fo-sv fr-fy fr-gl fr-gom fr-he
fr-hi fr-hr fr-hu fr-hy fr-id fr-is fr-it fr-ja fr-jv fr-ka fr-kk fr-ko fr-la fr-lb fr-lt fr-mg fr-mk fr-ml fr-mr fr-nds
fr-ne fr-nl fr-no fr-oc fr-pl fr-pt fr-ro fr-ru fr-sh fr-si fr-sk fr-sl fr-sq fr-sr fr-sv fr-sw fr-ta fr-te fr-tl fr-tr
fr-tt fr-uk fr-vi fr-wuu fr-zh fy-it fy-nl fy-pl fy-pt fy-ru fy-sv gl-he gl-hi gl-hr gl-hu gl-id gl-is gl-it gl-ja gl-ko
gl-lt gl-mk gl-ml gl-mr gl-nds gl-ne gl-nl gl-no gl-oc gl-pl gl-pt gl-ro gl-ru gl-sh gl-si gl-sk gl-sl gl-sq gl-sr gl-sv
gl-ta gl-te gl-tl gl-tr gl-tt gl-uk gl-vi gl-zh gom-it gom-pt gom-ru he-hi he-hr he-hu he-id he-is he-it he-ja he-ko he-lt
he-mk he-ml he-mr he-nl he-no he-pl he-pt he-ro he-ru he-sh he-si he-sk he-sl he-sq he-sr he-sv he-sw he-ta he-te he-tl
he-tr he-uk he-vi he-zh hi-hr hi-hu hi-id hi-it hi-ja hi-ko hi-lt hi-mk hi-mr hi-ne hi-nl hi-no hi-pl hi-pt hi-ro hi-ru
hi-sh hi-sk hi-sl hi-sq hi-sr hi-sv hi-ta hi-te hi-tr hi-uk hi-vi hi-zh hr-hu hr-id hr-is hr-it hr-ja hr-ko hr-lt hr-mk
hr-ml hr-mr hr-ne hr-nl hr-no hr-pl hr-pt hr-ro hr-ru hr-sh hr-si hr-sk hr-sl hr-sq hr-sr hr-sv hr-ta hr-te hr-tl hr-tr
hr-uk hr-vi hr-zh hu-id hu-is hu-it hu-ja hu-kk hu-ko hu-lt hu-mk hu-ml hu-mr hu-nds hu-ne hu-nl hu-no hu-oc hu-pl hu-pt
hu-ro hu-ru hu-sh hu-si hu-sk hu-sl hu-sq hu-sr hu-sv hu-sw hu-ta hu-te hu-tl hu-tr hu-uk hu-vi hu-zh hy-it hy-pt hy-ru
id-is id-it id-ja id-jv id-ko id-lt id-mk id-ml id-mr id-ne id-nl id-no id-pl id-pt id-ro id-ru id-sh id-si id-sk id-sl
id-sq id-sr id-sv id-sw id-ta id-te id-tl id-tr id-tt id-uk id-vi id-zh is-it is-ja is-lt is-mk is-nl is-no is-pl is-pt
is-ro is-ru is-sh is-sk is-sl is-sr is-sv is-tr is-uk is-vi is-zh it-ja it-jv it-ka it-kk it-ko it-la it-lb it-lmo it-lt
it-mk it-ml it-mr it-nds it-ne it-nl it-no it-oc it-pl it-pt it-ro it-ru it-scn it-sh it-si it-sk it-sl it-sq it-sr it-sv
it-sw it-ta it-te it-tl it-tr it-tt it-uk it-vi it-wuu it-zh ja-kk ja-ko ja-lt ja-mk ja-ml ja-mr ja-nds ja-nl ja-no ja-pl
ja-pt ja-ro ja-ru ja-sh ja-si ja-sk ja-sl ja-sq ja-sr ja-sv ja-sw ja-ta ja-te ja-tl ja-tr ja-tt ja-uk ja-vi ja-zh jv-pt
ka-nl ka-pl ka-pt ka-ru ka-sv kk-nl kk-no kk-pl kk-pt kk-ro kk-ru kk-sv kk-tr kk-uk ko-lt ko-mk ko-ml ko-mr ko-nl ko-no
ko-pl ko-pt ko-ro ko-ru ko-sh ko-sk ko-sl ko-sq ko-sr ko-sv ko-ta ko-te ko-tr ko-uk ko-vi ko-zh la-nl la-pl la-pt la-ro
la-ru la-sv lb-nl lb-pl lb-pt lb-ru lb-sv lt-mk lt-ml lt-mr lt-nl lt-no lt-pl lt-pt lt-ro lt-ru lt-sh lt-si lt-sk lt-sl
lt-sq lt-sr lt-sv lt-ta lt-te lt-tl lt-tr lt-uk lt-vi lt-zh mk-ml mk-mr mk-nl mk-no mk-pl mk-pt mk-ro mk-ru mk-sh mk-si
mk-sk mk-sl mk-sq mk-sr mk-sv mk-ta mk-te mk-tl mk-tr mk-uk mk-vi mk-zh ml-nl ml-no ml-pl ml-pt ml-ro ml-ru ml-sh ml-sk
ml-sl ml-sq ml-sr ml-sv ml-tr ml-uk ml-vi ml-zh mr-nl mr-no mr-pl mr-pt mr-ro mr-ru mr-sh mr-sk mr-sl mr-sq mr-sr mr-sv
mr-tr mr-uk mr-vi mr-zh mwl-pt nds_nl-nl nds-nl nds-no nds-pl nds-pt nds-ro nds-ru nds-sv nds-uk ne-nl ne-no ne-pl ne-pt ne-ro ne-ru
ne-sh ne-sk ne-sl ne-sv ne-uk nl-no nl-oc nl-pl nl-pt nl-ro nl-ru nl-sh nl-si nl-sk nl-sl nl-sq nl-sr nl-sv nl-sw nl-ta
nl-te nl-tl nl-tr nl-tt nl-uk nl-vi nl-zh no-pl no-pt no-ro no-ru no-sh no-si no-sk no-sl no-sq no-sr no-sv no-sw no-ta
no-te no-tl no-tr no-tt no-uk no-vi no-zh oc-pl oc-pt oc-ro oc-ru oc-sv pl-pt pl-ro pl-ru pl-sh pl-si pl-sk pl-sl pl-sq
pl-sr pl-sv pl-sw pl-ta pl-te pl-tl pl-tr pl-tt pl-uk pl-vi pl-zh pt-ro pt-ru pt-sh pt-si pt-sk pt-sl pt-sq pt-sr pt-sv
pt-sw pt-ta pt-te pt-tl pt-tr pt-tt pt-uk pt-vi pt-wuu pt-zh ro-ru ro-sh ro-si ro-sk ro-sl ro-sq ro-sr ro-sv ro-sw ro-ta
ro-te ro-tl ro-tr ro-tt ro-uk ro-vi ro-zh ru-sh ru-si ru-sk ru-sl ru-sq ru-sr ru-sv ru-sw ru-ta ru-te ru-tg ru-tl ru-tr
ru-tt ru-uk ru-vi ru-wuu ru-zh sh-si sh-sk sh-sl sh-sq sh-sr sh-sv sh-ta sh-te sh-tl sh-tr sh-uk sh-vi sh-zh si-sk si-sl
si-sq si-sr si-sv si-tr si-uk si-vi si-zh sk-sl sk-sq sk-sr sk-sv sk-ta sk-te sk-tl sk-tr sk-uk sk-vi sk-zh sl-sq sl-sr
sl-sv sl-ta sl-te sl-tl sl-tr sl-uk sl-vi sl-zh sq-sr sq-sv sq-ta sq-te sq-tl sq-tr sq-uk sq-vi sq-zh sr-sv sr-ta sr-te
sr-tl sr-tr sr-uk sr-vi sr-zh sv-sw sv-ta sv-te sv-tl sv-tr sv-tt sv-uk sv-vi sv-zh sw-tr sw-uk sw-vi sw-zh ta-tr ta-uk
ta-vi ta-zh te-tr te-uk te-vi te-zh tl-tr tl-uk tl-vi tl-zh tr-tt tr-uk tr-vi tr-zh tt-uk tt-zh uk-vi uk-zh vi-zh wuu-zh"""
cite = """@article{wikimatrix1,
author = {Holger Schwenk and Vishrav Chaudhary and Shuo Sun and Hongyu Gong and Francisco Guzm{\'{a}}n},
title = {WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia},
journal = {CoRR},
volume = {abs/1907.05791},
year = {2019},
url = {http://arxiv.org/abs/1907.05791},
archivePrefix = {arXiv},
eprint = {1907.05791},
timestamp = {Wed, 17 Jul 2019 10:27:36 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1907-05791.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}}"""
url_pat = "https://dl.fbaipublicfiles.com/laser/WikiMatrix/v1/WikiMatrix.%s-%s.tsv.gz"
mapping = dict(sh='hbs')
skips = {'nds_nl', 'simple'}
for pair in data.split():
l1, l2 = pair.split('-')
if l1 in skips or l2 in skips:
continue
l1iso, l2iso = mapping.get(l1, l1), mapping.get(l2, l2)
url = url_pat % (l1, l2)
ent = Entry(langs=(l1iso, l2iso), url=url, name='WikiMatrix_v1', cols=(1, 2), cite=cite)
index.add_entry(ent)
def load(index: Index):
group_id = 'Statmt'
WMT13_CCRAWL = "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz"
WMT14_CITE = index.ref_db.get_bibtex('ws-2014-statistical')
for l1 in ['de', 'cs', 'fr', 'ru', 'es']:
l2 = 'en'
f1 = f'commoncrawl.{l1}-en.{l1}'
f2 = f'commoncrawl.{l1}-en.en'
data_id = DatasetId(group=group_id, name='commoncrawl_wmt13', version='1', langs=(l1, l2))
index.add_entry(Entry(did=data_id, url=WMT13_CCRAWL,
filename='wmt13_parallel_commoncrawl.tgz',
in_paths=[f1, f2], in_ext='txt', cite=WMT14_CITE))
# === WMT 13 release of europarl_v7 ===
for l1 in ['cs', 'de', 'fr', 'es']:
l2 = 'en'
f1 = f'training/europarl-v7.{l1}-{l2}.{l1}'
f2 = f'training/europarl-v7.{l1}-{l2}.{l2}'
data_id = DatasetId(group=group_id, name='europarl_wmt13', version='7', langs=(l1, l2))
index.add_entry(Entry(did=data_id, url="http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
filename="wmt13_europarl_v7.tgz",
in_paths=[f1, f2], in_ext='txt', cite=WMT14_CITE))
# ==== WMT 18 news commentary v13 ===
for l1 in ['cs', 'de', 'ru', 'zh']:
l2 = 'en'
f1 = f'training-parallel-nc-v13/news-commentary-v13.{l1}-{l2}.{l1}'
f2 = f'training-parallel-nc-v13/news-commentary-v13.{l1}-{l2}.{l2}'
data_id = DatasetId(group=group_id, name='news_commentary_wmt18', version='13', langs=(l1, l2))
index.add_entry(Entry(did=data_id,
url="http://data.statmt.org/wmt18/translation-task/training-parallel-nc-v13.tgz",
filename="wmt18_news_commentary_v13.tgz",
in_paths=[f1, f2], in_ext='txt', cite=WMT14_CITE))
# === Europarl V9 corpus
EUROPARL_v9 = 'http://www.statmt.org/europarl/v9/training/europarl-v9.%s-%s.tsv.gz'
cite = index.ref_db.get_bibtex('koehn2005europarl')
for pair in ['de en', 'cs en', 'cs pl', 'es pt', 'fi en', 'lt en']:
l1, l2 = pair.split()
index.add_entry(Entry(did=DatasetId(group=group_id, name='europarl', version='9', langs=(l1, l2)),
url=EUROPARL_v9 % (l1, l2), cite=cite))
# === Europarl V7 corpus
EUROPARL_v7 = 'http://www.statmt.org/europarl/v7/%s-%s.tgz'
cite = index.ref_db.get_bibtex('bojar-etal-2017-findings')
for l1 in 'bg cs da de el es et fi fr hu it lt lv nl pl pt ro sk sl sv'.split():
l2 = 'en'
src = f'europarl-v7.{l1}-{l2}.{l1}'
ref = f'europarl-v7.{l1}-{l2}.{l2}'
index.add_entry(Entry(
did=DatasetId(group=group_id, name='europarl', version='7', langs=(l1, l2)), in_paths=[src, ref],
url=EUROPARL_v7 % (l1, l2), in_ext='txt', cite=cite))
# === Digital Corpus of European Parliament
index.add_entry(Entry(did=DatasetId(group=group_id, name='dcep_wmt17', version='1', langs=(l1, l2)),
in_paths=['*/*.lv', f'*/*.en'], cite=cite, in_ext='txt',
url='http://data.statmt.org/wmt17/translation-task/dcep.lv-en.v1.tgz'))
index.add_entry(Entry(did=DatasetId(group=group_id, name='books_wmt17', version='1', langs=(l1, l2)),
in_paths=['*/*.lv', f'*/*.en'], cite=cite, in_ext='txt',
url='http://data.statmt.org/wmt17/translation-task/books.lv-en.v1.tgz'))
# === News Commentary v14
NEWSCOM_v14 = "http://data.statmt.org/news-commentary/v14/training/news-commentary-v14.%s-%s.tsv.gz"
cite = index.ref_db.get_bibtex('bojar-etal-2018-findings')
for pair in ['ar cs', 'ar de', 'ar en', 'ar es', 'ar fr', 'ar hi', 'ar id', 'ar it',
'ar ja', 'ar kk', 'ar nl', 'ar pt', 'ar ru', 'ar zh', 'cs de', 'cs en', 'cs es',
'cs fr', 'cs hi', 'cs id', 'cs it', 'cs ja', 'cs kk', 'cs nl', 'cs pt', 'cs ru',
'cs zh', 'de en', 'de es', 'de fr', 'de hi', 'de id', 'de it', 'de ja', 'de kk',
'de nl', 'de pt', 'de ru', 'de zh', 'en es', 'en fr', 'en hi', 'en id', 'en it',
'en ja', 'en kk', 'en nl', 'en pt', 'en ru', 'en zh', 'es fr', 'es hi', 'es id',
'es it', 'es ja', 'es kk', 'es nl', 'es pt', 'es ru', 'es zh', 'fr hi', 'fr id',
'fr it', 'fr ja', 'fr kk', 'fr nl', 'fr pt', 'fr ru', 'fr zh', 'hi id', 'hi it',
'hi nl', 'hi pt', 'hi ru', 'hi zh', 'id it', 'id kk', 'id nl', 'id pt', 'id ru',
'id zh', 'it kk', 'it nl', 'it pt', 'it ru', 'it zh', 'ja ru', 'ja zh', 'kk nl',
'kk pt', 'kk ru', 'kk zh', 'nl pt', 'nl ru', 'nl zh', 'pt ru', 'pt zh', 'ru zh']:
l1, l2 = pair.split()
index.add_entry(Entry(
did=DatasetId(group=group_id, name='news_commentary', version='14', langs=(l1, l2)),
url=NEWSCOM_v14 % (l1, l2), cite=cite))
for v in [15, 16]:
cite = index.ref_db.get_bibtex('barrault-etal-2020-findings')
url = f"http://data.statmt.org/news-commentary/v{v}/training/news-commentary-v{v}.%s-%s.tsv.gz"
for pair in ['ar cs', 'ar de', 'ar en', 'ar es', 'ar fr', 'ar hi', 'ar id', 'ar it', 'ar ja', 'ar kk', 'ar nl',
'ar pt', 'ar ru', 'ar zh', 'cs de', 'cs en', 'cs es', 'cs fr', 'cs hi', 'cs id', 'cs it', 'cs ja',
'cs kk', 'cs nl', 'cs pt', 'cs ru', 'cs zh', 'de en', 'de es', 'de fr', 'de hi', 'de id', 'de it',
'de ja', 'de kk', 'de nl', 'de pt', 'de ru', 'de zh', 'en es', 'en fr', 'en hi', 'en id', 'en it',
'en ja', 'en kk', 'en nl', 'en pt', 'en ru', 'en zh', 'es fr', 'es hi', 'es id', 'es it', 'es ja',
'es kk', 'es nl', 'es pt', 'es ru', 'es zh', 'fr hi', 'fr id', 'fr it', 'fr ja', 'fr kk', 'fr nl',
'fr pt', 'fr ru', 'fr zh', 'hi id', 'hi it', 'hi nl', 'hi pt', 'hi ru', 'hi zh', 'id it', 'id ja',
'id kk', 'id nl', 'id pt', 'id ru', 'id zh', 'it kk', 'it nl', 'it pt', 'it ru', 'it zh', 'ja pt',
'ja ru', 'ja zh', 'kk nl', 'kk pt', 'kk ru', 'kk zh', 'nl pt', 'nl ru', 'nl zh', 'pt ru', 'pt zh',
'ru zh']:
l1, l2 = pair.split()
index.add_entry(Entry(did=DatasetId(group=group_id, name='news_commentary', version=f'{v}', langs=(l1, l2)),
url=url % (l1, l2), cite=cite))
# ===== Wiki Titles V1
WIKI_TITLES_v1 = 'http://data.statmt.org/wikititles/v1/wikititles-v1.%s-%s.tsv.gz'
cite = index.ref_db.get_bibtex('barrault-etal-2019-findings')
for pair in ['cs en', 'cs pl', 'de en', 'es pt', 'fi en', 'gu en', 'hi ne', 'kk en', 'lt en',
'ru en', 'zh en']:
l1, l2 = pair.split()
index.add_entry(Entry(did=DatasetId(group=group_id, name='wiki_titles', version='1', langs=(l1, l2)),
url=WIKI_TITLES_v1 % (l1, l2), cite=cite))
# ===== Wiki Titles V2
WIKI_TITLES_v2 = 'http://data.statmt.org/wikititles/v2/wikititles-v2.%s-%s.tsv.gz'
for pair in ['ca es', 'cs en', 'de en', 'de fr', 'es pt', 'iu en', 'ja en', 'pl en', 'ps en',
'ru en', 'ta en', 'zh en']:
l1, l2 = pair.split()
index.add_entry(Entry(did=DatasetId(group=group_id, name='wiki_titles', version='2', langs=(l1, l2)),
url=WIKI_TITLES_v2 % (l1, l2), cite=cite))
WIKI_TITLES_v3 = 'http://data.statmt.org/wikititles/v3/wikititles-v3.{pair}.tsv'
langs = 'bn-hi ca-es ca-pt ca-ro cs-en de-en de-fr es-pt es-ro ha-en ig-en is-en ja-en ps-en pt-ro ru-en xh-zu zh-en'
for pair in langs.split():
l1, l2 = pair.split('-')
url = WIKI_TITLES_v3.format(pair=pair)
ent = Entry(did=DatasetId(group=group_id, name=f'wikititles', version='3', langs=(l1, l2)), url=url, cite=cite)
index.add_entry(ent)
# ==== WMT Dev and Tests
wmt_sets = {
'newstest2014': [('de', 'en'), ('cs', 'en'), ('fr', 'en'), ('ru', 'en'), ('hi', 'en')],
'newsdev2015': [('fi', 'en'), ('en', 'fi')],
'newstest2015': [('fi', 'en'), ('en', 'cs'), ('cs', 'en'), ('en', 'ru'), ('en', 'de'),
('de', 'en'), ('ru', 'en'), ('en', 'fi')],
'newsdev2016': [('en', 'ro'), ('ro', 'en'), ('tr', 'en'), ('en', 'tr')],
'newstest2016': [('de', 'en'), ('en', 'de'), ('en', 'ro'), ('en', 'fi'), ('ro', 'en'),
('ru', 'en'), ('fi', 'en'), ('en', 'ru'), ('tr', 'en'), ('cs', 'en'),
('en', 'tr'), ('en', 'cs')],
'newsdev2017': [('zh', 'en'), ('lv', 'en'), ('en', 'zh'), ('en', 'lv')],
'newstest2017': [('zh', 'en'), ('ru', 'en'), ('en', 'fi'), ('lv', 'en'), ('en', 'de'),
('de', 'en'), ('cs', 'en'), ('en', 'cs'), ('en', 'tr'), ('en', 'ru'),
('tr', 'en'), ('fi', 'en'), ('en', 'zh'), ('en', 'lv')],
'newsdev2018': [('et', 'en'), ('en', 'et')],
'newstest2018': [('ru', 'en'), ('zh', 'en'), ('et', 'en'), ('en', 'fi'), ('en', 'de'),
('de', 'en'), ('en', 'cs'), ('en', 'tr'), ('cs', 'en'), ('tr', 'en'),
('en', 'ru'), ('en', 'et'), ('fi', 'en'), ('en', 'zh')],
'newsdev2019': [('gu', 'en'), ('kk', 'en'), ('en', 'lt'), ('en', 'kk'), ('lt', 'en'),
('en', 'gu')],
'newstest2019': [('de', 'en'), ('de', 'fr'), ('kk', 'en'), ('en', 'de'), ('en', 'fi'),
('ru', 'en'), ('zh', 'en'), ('gu', 'en'), ('en', 'kk'), ('en', 'zh'),
('cs', 'de'), ('fi', 'en'), ('en', 'gu'), ('lt', 'en'), ('de', 'cs'),
('en', 'lt'), ('en', 'ru'), ('en', 'cs'), ('fr', 'de')],
'newsdev2020': [('iu', 'en'), ('en', 'ta'), ('ta', 'en'), ('pl', 'en'), ('en', 'iu'),
('en', 'ja'), ('ja', 'en'), ('en', 'pl')]
}
for set_name, pairs in wmt_sets.items():
sub_name, year = set_name[:-4], set_name[-4:]
for l1, l2 in pairs:
src = f'dev/{set_name}-{l1}{l2}-src.{l1}.sgm'
ref = f'dev/{set_name}-{l1}{l2}-ref.{l2}.sgm'
name = f'{sub_name}_{l1}{l2}'
index.add_entry(Entry(did=DatasetId(group=group_id, name=name, version=year, langs=(l1, l2)),
filename='wmt20dev.tgz', in_paths=[src, ref], in_ext='sgm',
url='http://data.statmt.org/wmt20/translation-task/dev.tgz',
cite=cite))
# Multi parallel
wmt_sets = {
'2009': ['en', 'cs', 'de', 'es', 'fr'],
'2010': ['en', 'cs', 'de', 'es', 'fr'],
'2011': ['en', 'cs', 'de', 'es', 'fr'],
'2012': ['en', 'cs', 'de', 'es', 'fr', 'ru'],
'2013': ['en', 'cs', 'de', 'es', 'fr', 'ru'],
}
for year, langs in wmt_sets.items():
name = 'newstest'
for l1, l2 in itertools.combinations(langs, 2):
f1 = f'dev/{name}{year}.{l1}'
f2 = f'dev/{name}{year}.{l2}'
index.add_entry(Entry(did=DatasetId(group=group_id, name=name, version=year, langs=(l1, l2)),
filename='wmt20dev.tgz', in_paths=[f1, f2], in_ext='txt', cite=cite,
url='http://data.statmt.org/wmt20/translation-task/dev.tgz'))
for l1, l2 in [('ps', 'en'), ('km', 'en')]:
for set_name in ['wikipedia.dev', 'wikipedia.devtest']:
src = f'dev/{set_name}.{l1}-{l2}.{l1}'
ref = f'dev/{set_name}.{l1}-{l2}.{l2}'
name = f'{set_name.replace(".", "_")}_{l1}{l2}'
index.add_entry(Entry(did=DatasetId(group=group_id, name=name, version='1', langs=(l1, l2)),
filename='wmt20dev.tgz', in_paths=[src, ref], in_ext='txt', cite=cite,
url='http://data.statmt.org/wmt20/translation-task/dev.tgz'))
#### WMT 20 Tests
url = "http://data.statmt.org/wmt20/translation-task/test.tgz"
wmt20_cite = index.ref_db.get_bibtex('barrault-etal-2020-findings')
for _pref, pairs in {
"": ["csen", "deen", "defr", "encs", "ende", "eniu", "enja", "enkm", "enpl", "enps",
"enru", "enta", "enzh", "frde", "iuen", "jaen", "kmen", "plen", "psen", "ruen",
"taen", "zhen"],
"B": ["deen", "ende", "enzh", "ruen", "zhen"]}.items():
year = "2020"
name = f'newstest{_pref}'
for pair in pairs:
l1, l2 = pair[:2], pair[2:]
f1 = f'sgm/{name}{year}-{pair}-src.{l1}.sgm'
f2 = f'sgm/{name}{year}-{pair}-ref.{l2}.sgm'
index.add_entry(Entry(did=DatasetId(group=group_id, name=f'{name}_{pair}'.lower(), version=year, langs=(l1, l2)),
filename='wmt20tests.tgz', in_paths=[f1, f2], in_ext='sgm', cite=wmt20_cite, url=url))
# WMT 21 Dev
url = "http://data.statmt.org/wmt21/translation-task/dev.tgz"
pairs = "en-ha en-is is-en ha-en".split()
for pair in pairs:
l1, l2 = pair.split('-')
in_path = f'dev/xml/newsdev2021.{l1}-{l2}.xml'
ent = Entry(did=DatasetId(group=group_id, name=f'newsdev_{l1}{l2}', version='2021', langs=(l1, l2)),
filename='wmt21dev.tgz', in_paths=[in_path], in_ext='wmt21xml', cite=wmt20_cite, url=url)
index.add_entry(ent)
url = "http://data.statmt.org/wmt21/translation-task/test.tgz"
pairs = 'bn-hi hi-bn xh-zu zu-xh cs-en de-en de-fr en-cs en-de en-ha en-is en-ja en-ru en-zh fr-de ha-en is-en ja-en ru-en zh-en'.split()
for pair in pairs:
l1, l2 = pair.split('-')
name = 'newstest'
if pair in 'bn-hi hi-bn xh-zu zu-xh':
name = 'florestest'
in_path = f'test/{name}2021.{l1}-{l2}.xml'
ent = Entry(did=DatasetId(group=group_id, name=f'{name}_{l1}{l2}', version='2021', langs=(l1, l2)),
filename='wmt21tests.tgz', in_paths=[in_path], in_ext='wmt21xml', cite=wmt20_cite, url=url)
index.add_entry(ent)
# ==== TED Talks 2.0 ar-en
index.add_entry(Entry(did=DatasetId(group=group_id, name='tedtalks', version='2_clean', langs=('en', 'ar')),
ext='tsv.xz', url='http://data.statmt.org/ted-talks/en-ar.v2.aligned.clean.xz'))
# ==== Europarl v10
EP_v10 = "http://www.statmt.org/europarl/v10/training/europarl-v10.%s-%s.tsv.gz"
for pair in ['cs en', 'cs pl', 'de en', 'de fr', 'es pt', 'fi en', 'fr en', 'lt en', 'pl en']:
l1, l2 = pair.split()
index.add_entry(Entry(did=DatasetId(group=group_id, name=f'europarl', version='10', langs=(l1, l2)),
url=EP_v10 % (l1, l2), cite=wmt20_cite))
# ==== PMIndia V1
PMINDIA_v1 = "http://data.statmt.org/pmindia/v1/parallel/pmindia.v1.%s-%s.tsv"
cite = index.ref_db.get_bibtex('Haddow-etal-2020-PMIndia')
for pair in ["as en", "bn en", "gu en", "hi en", "kn en", "ml en", "mni en", "mr en", "or en",
"pa en", "ta en", "te en", "ur en"]:
l1, l2 = pair.split()
# Note: listed as xx-en in URL but actually en-xx in the tsv; and its not compressed!
index.add_entry(Entry(did=DatasetId(group=group_id, name=f'pmindia', version='1', langs=(l2, l1)),
url=PMINDIA_v1 % (l1, l2), cite=cite))
# Pashto - English pseudo parallel dataset for alignment
index.add_entry(Entry(did=DatasetId(group=group_id, name=f'wmt20_enps_aligntask', version='1', langs=('en', 'ps')),
url='http://data.statmt.org/wmt20/translation-task/ps-km/wmt20-sent.en-ps.xz',
cite=wmt20_cite, ext='tsv.xz'))
# Pashto - English mostly parallel dataset
for name in ["GNOME.en-ps", "KDE4.en-ps", "Tatoeba.en-ps", "Ubuntu.en-ps", "bible.en-ps.clean",
"ted-wmt20.en-ps", "wikimedia.en-ps"]:
ps = f'ps-parallel/{name}.ps'
en = f'ps-parallel/{name}.en'
url = 'http://data.statmt.org/wmt20/translation-task/ps-km/ps-parallel.tgz'
name = name.replace('.en-ps', '').replace('.', '_').replace('-', '_').lower()
entry = Entry(did=DatasetId(group=group_id, name=name, version='1', langs=('ps', 'en')), url=url,
cite=wmt20_cite, in_paths=[ps, en], filename='wmt20-psen-parallel.tgz', in_ext='txt')
index.add_entry(entry)
for l2 in ['ps', 'km']:
url = f"http://data.statmt.org/wmt20/translation-task/ps-km/wmt20-sent.en-{l2}.xz"
entry = Entry(did=DatasetId(group=group_id, name='paracrawl', version='5.1', langs=('en', l2)),
url=url, cite=wmt20_cite, ext='tsv.xz', cols=(0, 1))
index.add_entry(entry)
# for ja-en only TED was available
index.add_entry(Entry(url="http://data.statmt.org/wmt20/translation-task/ja-en/ted.en-ja.tgz",
did=DatasetId(group=group_id, name='ted', version='wmt20', langs=('en', 'ja')),
cite=wmt20_cite, ext='tgz', in_ext='txt',
in_paths=['en-ja/train.tags.en-ja.en', 'en-ja/train.tags.en-ja.ja']))
ccalign_cite = index.ref_db.get_bibtex('chaudhary-EtAl:2019:WMT')
CC_ALIGNED = 'http://www.statmt.org/cc-aligned/sentence-aligned/{src}-{tgt}.tsv.xz'
tgts='es_XX et_EE fa_IR ff_NG fi_FI fr_XX gu_IN ha_NG he_IL hi_IN hr_HR ht_HT hu_HU hy_AM id_ID ig_NG is_IS it_IT ja_XX jv_ID ka_GE kg_AO kk_KZ km_KH kn_IN ko_KR ku_TR ky_KG lg_UG ln_CD lo_LA lt_LT lv_LV mg_MG mi_NZ mk_MK ml_IN mn_MN mr_IN ms_MY mt_MT my_MM ne_NP nl_XX no_XX ns_ZA ny_MW om_KE or_IN pa_IN pl_PL ps_AF pt_XX qa_MM qd_MM ro_RO ru_RU si_LK sk_SK sl_SI sn_ZW so_SO sq_AL sr_RS ss_SZ st_ZA su_ID sv_SE sw_KE sz_PL ta_IN te_IN tg_TJ th_TH ti_ET tl_XX tn_BW tr_TR ts_ZA tz_MA uk_UA ur_PK ve_ZA vi_VN wo_SN xh_ZA yo_NG zh_CN zh_TW zu_ZA zz_TR'.split()
srcs = 'af_ZA ak_GH am_ET ar_AR as_IN ay_BO az_AZ az_IR be_BY bg_BG bm_ML bn_IN br_FR bs_BA ca_ES cb_IQ cs_CZ cx_PH cy_GB da_DK de_DE el_GR'.split()
pairs = [('en_XX', tgt) for tgt in tgts] + [(src, 'en_XX') for src in srcs]
dont_know = {'qa', 'qd'} # looks like some Myanmar languages, but not sure which one.
# Cant find them in ISO 639-1: https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
# and lingo http://www.lingoes.net/en/translator/langcode.htm
# and web-info https://wp-info.org/tools/languagecodes.php
#unsupported = {'zh_TW', 'az_IR'}
# country locales are not supported; they create conflicts. keeping large ones instead
for src, tgt in pairs:
# l1, l2 = src.split('_')[0], tgt.split('_')[0]
if src[:2] in dont_know or tgt[:2] in dont_know: # I dont know what language these are
continue
url = CC_ALIGNED.format(src=src, tgt=tgt)
entry = Entry(did=DatasetId(group=group_id, name='ccaligned', version='1', langs=(src, tgt)), url=url,
cite=ccalign_cite, ext='tsv.xz', cols=(0, 1))
index.add_entry(entry)
wmt21_cite = 'WMT21' # unavailable at the time of adding
index.add_entry(Entry(
did=DatasetId(group=group_id, name=f'khamenei', version='wmt21', langs=('ha','en')), cite=wmt21_cite,
url='http://data.statmt.org/wmt21/translation-task/ha-en/khamenei.v1.ha-en.tsv', ext='tsv', cols=(2, 3)))
index.add_entry(Entry(
did=DatasetId(group=group_id, name=f'opus', version='wmt21', langs=('ha', 'en')), cite=wmt21_cite,
url='http://data.statmt.org/wmt21/translation-task/ha-en/opus.ha-en.tsv', ext='tsv', cols=(1, 0)))
index.add_entry(Entry(
did=DatasetId(group=group_id, name=f'paracrawl', version='8.wmt21', langs=('en', 'ha')), cite=wmt21_cite,
url='http://data.statmt.org/wmt21/translation-task/paracrawl8/paracrawl-release8.en-ha.bifixed.dedup.laser.filter-0.9.xz',
ext='tsv.xz', cols=[1, 2]))
index.add_entry(Entry(
did=DatasetId(group=group_id, name=f'paracrawl', version='8.wmt21', langs=('en', 'ru')), cite=wmt21_cite,
url='http://data.statmt.org/wmt21/translation-task/paracrawl8/paracrawl-release8.en-ru.bifixed.dedup.filter-1.1.xz',
ext='tsv.xz', cols=[0, 1]))
for pair in ['bn-hi', 'xh-zu']:
l1, l2 = pair.split('-')
url = f'http://data.statmt.org/wmt21/translation-task/cc-aligned/{pair}.tsv.xz'
index.add_entry(Entry(
did=DatasetId(group=group_id, name=f'ccaligned', version='wmt21', langs=(l1, l2)), cite=wmt21_cite,
url='http://data.statmt.org/wmt21/translation-task/ha-en/opus.ha-en.tsv', ext='tsv', cols=(1, 0)))
# https://data.statmt.org/wmt19/translation-task/fr-de/bitexts/de-fr.bicleaner07.de.gz
for cln_name, name in [('commoncrawl', ''), ('paracrawl', 'de-fr.bicleaner07'), ('europarl_v7', '')]:
l1, l2 = 'fr', 'de'
prefix = 'https://data.statmt.org/wmt19/translation-task/fr-de/bitexts'
index.add_entry(Entry(did=DatasetId(group=group_id, name=cln_name or name, version='wmt19', langs=(l1, l2)),
ext='txt.gz', url=(f'{prefix}/{name}.{l1}.gz', f'{prefix}/{name}.{l2}.gz')))
# Back Translation
prefix = 'https://data.statmt.org/wmt20/translation-task/back-translation/zh-en'
index.add_entry(Entry(
did=DatasetId(group=group_id, name='backtrans_enzh', version='wmt20', langs=('en', 'zh')),
ext='txt.gz', url=(f'{prefix}/news.en.gz', f'{prefix}/news.translatedto.zh.gz')))
prefix = 'https://data.statmt.org/wmt20/translation-task/back-translation/ru-en'
index.add_entry(Entry(
did=DatasetId(group=group_id, name='backtrans_enru', version='wmt20', langs=('en', 'ru')),
ext='txt.gz', url=(f'{prefix}/news.en.gz', f'{prefix}/news.en.translatedto.ru.gz')))
index.add_entry(Entry(
did=DatasetId(group=group_id, name='backtrans_ruen', version='wmt20', langs=('ru', 'en')),
ext='txt.gz', url=(f'{prefix}/news.ru.gz', f'{prefix}/news.ru.translatedto.en.gz')))
def load(index: Index):
cite = index.ref_db.get_bibtex('espla-etal-2019-paracrawl')
cite += '\n' + index.ref_db.get_bibtex('banon-etal-2020-paracrawl')
group_id = 'ParaCrawl'
# === Para crawl corpus
PARACRAWL_v3 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release3/%s-%s.bicleaner07.tmx.gz'
for pair in ['en cs', 'en de', 'en fi', 'en lt']:
l1, l2 = pair.split()
index.add_entry(
Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='3',
langs=(l1, l2)),
url=PARACRAWL_v3 % (l1, l2),
cite=cite))
# === Paracrawl V6
PARACRAWL_v6 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.txt.gz'
for l2 in [
'is', 'bg', 'hr', 'cs', 'da', 'nl', 'et', 'fi', 'fr', 'de', 'el',
'hu', 'ga', 'it', 'lv', 'lt', 'mt', 'pl', 'pt', 'ro', 'sk', 'sl',
'es', 'sv'
]:
l1 = 'en'
index.add_entry(
Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='6',
langs=(l1, l2)),
url=PARACRAWL_v6 % (l1, l2),
cite=cite,
ext='tsv.gz'))
# these are bonus
PARACRAWL_v6_B = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.bicleaner07.txt.gz'
for l1, l2 in [('nl', 'fr'), ('pl', 'de')]:
index.add_entry(
Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='6B',
langs=(l1, l2)),
url=PARACRAWL_v6_B % (l1, l2),
cite=cite,
ext='tsv.gz'))
l1 = 'en'
PARACRAWL_v7_1 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release7.1/%s-%s.txt.gz'
for l2 in 'bg cs da de el es et fi fr ga hr hu is it lt lv mt nl pl pt ro sk sl sv'.split(
):
index.add_entry(
Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='7.1',
langs=(l1, l2)),
url=PARACRAWL_v7_1 % (l1, l2),
cite=cite,
ext='tsv.gz'))
PARACRAWL_v7_1 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release7/%s-%s.txt.gz'
for pair in 'en-nb en-nn es-ca es-eu es-gl'.split():
l1, l2 = pair.split('-')
index.add_entry(
Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='7.1',
langs=(l1, l2)),
url=PARACRAWL_v7_1 % (l1, l2),
cite=cite,
ext='tsv.gz'))
PARACRAWL_V8 = 'https://archive.org/download/ParaCrawl-{version}/{pair}.txt.gz'
for version, pairs in [
('v8.0', 'en-bg en-cs en-da en-de en-el'),
('v8.0-0001',
'en-et en-fi en-fr en-ga en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pl en-pt en-ro en-sk en-sl'
), ('v8.0-0002', 'en-sv es-eu'), ('v8.1-0000', 'es-ca es-gl')
]:
for pair in pairs.split():
l1, l2 = pair.split('-')
url = PARACRAWL_V8.format(version=version, pair=pair)
ent = Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='8',
langs=(l1, l2)),
url=url,
cite=cite,
ext='tsv.gz')
index.add_entry(ent)
PARACRAWL_BONUS = 'https://s3.amazonaws.com/web-language-models/paracrawl/bonus/{pair}.txt.gz'
for pair in 'en-km en-my en-ne en-ps en-si en-so en-sw en-tl en-ru en-ko'.split(
):
l1, l2 = pair.split('-')
url = PARACRAWL_BONUS.format(pair=pair)
ent = Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='1_bonus',
langs=(l1, l2)),
url=url,
cite=cite,
ext='tsv.gz')
index.add_entry(ent)
PARACRAWL_V9 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release9/{l1}-{l2}/{l1}-{l2}.txt.gz'
for pair in (
'en-bg en-cs en-da en-de en-el en-es en-et en-fi en-fr en-ga en-hr en-hu en-is en-it en-lt en-lv'
' en-mt en-nb en-nl en-nn en-pl en-pt en-ro en-sk en-sl en-sv es-ca es-eu es-gl'
).split():
l1, l2 = pair.split('-')
url = PARACRAWL_V9.format(l1=l1, l2=l2)
ent = Entry(did=DatasetId(group=group_id,
name=f'paracrawl',
version='9',
langs=(l1, l2)),
url=url,
cite=cite,
ext='tsv.gz')
index.add_entry(ent)
# this is a new addition in Sept 2021
index.add_entry(
Entry(
did=DatasetId(group=group_id,
name=f'paracrawl',
version='1_bonus',
langs=('en', 'zh')),
url=
'http://web-language-models.s3-website-us-east-1.amazonaws.com/paracrawl/bonus/en-zh-v1.txt.gz',
cite=cite,
ext='tsv.gz'))
# Japanese-English paracrawl (5.1) used by WMT20 and WMT21
for version in ['2', '3']:
ent = Entry(
did=DatasetId(group='KECL',
name=f'paracrawl',
version=version,
langs=('eng', 'jpn')),
in_paths=['en-ja/en-ja.bicleaner05.txt'],
in_ext='tsv',
cols=(2, 3),
cite='',
url=
f'http://www.kecl.ntt.co.jp/icl/lirg/jparacrawl/release/{version}.0/bitext/en-ja.tar.gz'
)
index.add_entry(ent)
def load_all(index: Index):
group = 'AI4Bharath'
cite = index.ref_db.get_bibtex('ramesh2021samanantar')
pairs = (
'en-as en-bn en-gu en-hi en-kn en-ml en-mr en-or en-pa en-ta en-te as-bn as-gu as-hi'
' as-kn as-ml as-mr as-or as-pa as-ta as-te bn-gu bn-hi bn-kn bn-ml bn-mr bn-or bn-pa'
' bn-ta bn-te gu-hi gu-kn gu-ml gu-mr gu-or gu-pa gu-ta gu-te hi-kn hi-ml hi-mr hi-or'
' hi-pa hi-ta hi-te kn-ml kn-mr kn-or kn-pa kn-ta kn-te ml-mr ml-or ml-pa ml-ta ml-te'
' mr-or mr-pa mr-ta mr-te or-pa or-ta or-te pa-ta pa-te ta-te')
BASE_v0_2 = 'https://storage.googleapis.com/samanantar-public/V0.2/data/{dirname}/{pair}.zip'
for pair in pairs.strip().split(' '):
l1, l2 = pair.split('-')
dirname = 'en2indic' if l1 == 'en' else 'indic2indic'
url = BASE_v0_2.format(dirname=dirname, pair=pair)
ent = Entry(did=DatasetId(group=group,
name=f'samananthar',
version='0.2',
langs=(l1, l2)),
url=url,
cite=cite,
in_paths=[f'{pair}/train.{l1}', f'{pair}/train.{l2}'],
in_ext='txt')
index.add_entry(ent)
URL = "https://storage.googleapis.com/samanantar-public/benchmarks.zip"
filename = "samananthar-benchmarks.zip"
for split in ('dev', 'test'):
want20_langs = 'bn gu hi ml mr ta te'.split()
for l2 in want20_langs:
f1 = f'benchmarks/wat2020-devtest/en-{l2}/{split}.en'
f2 = f'benchmarks/wat2020-devtest/en-{l2}/{split}.{l2}'
ent = Entry(did=DatasetId(group=group,
name=f'wat_{split}',
version='2020',
langs=('en', l2)),
filename=filename,
url=URL,
cite=cite,
in_paths=[f1, f2],
in_ext='txt')
index.add_entry(ent)
wat21_langs = 'bn en gu hi kn ml mr or pa ta te'.split()
for i, l1 in enumerate(wat21_langs):
for l2 in wat21_langs[i + 1:]:
f1 = f'benchmarks/wat2021-devtest/{split}.{l1}'
f2 = f'benchmarks/wat2021-devtest/{split}.{l2}'
ent = Entry(did=DatasetId(group=group,
name=f'wat_{split}',
version='2021',
langs=(l1, l2)),
filename=filename,
url=URL,
cite=cite,
in_paths=[f1, f2],
in_ext='txt')
index.add_entry(ent)
# PMI langs; en-as
index.add_entry(
Entry(did=DatasetId(group=group,
name=f'pmi_{split}',
version='2021',
langs=('en', 'as')),
filename=filename,
url=URL,
cite=cite,
in_ext='txt',
in_paths=[
f'benchmarks/pmi/en-as/{split}.en',
f'benchmarks/pmi/en-as/{split}.as'
]))
def load(index: Index):
cite = index.ref_db.get_bibtex('espla-etal-2019-paracrawl')
cite += '\n' + index.ref_db.get_bibtex('banon-etal-2020-paracrawl')
# === Para crawl corpus
PARACRAWL_v3 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release3/%s-%s.bicleaner07.tmx.gz'
for pair in ['en cs', 'en de', 'en fi', 'en lt']:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v3',
url=PARACRAWL_v3 % (l1, l2),
cite=cite))
# === Paracrawl V6
PARACRAWL_v6 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.txt.gz'
for l2 in [
'is', 'bg', 'hr', 'cs', 'da', 'nl', 'et', 'fi', 'fr', 'de', 'el',
'hu', 'ga', 'it', 'lv', 'lt', 'mt', 'pl', 'pt', 'ro', 'sk', 'sl',
'es', 'sv'
]:
l1 = 'en'
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v6',
url=PARACRAWL_v6 % (l1, l2),
cite=cite,
ext='tsv.gz'))
# these are bonus
PARACRAWL_v6_B = 'https://s3.amazonaws.com/web-language-models/paracrawl/release6/%s-%s.bicleaner07.txt.gz'
for l1, l2 in [('nl', 'fr'), ('pl', 'de')]:
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v6',
url=PARACRAWL_v6_B % (l1, l2),
cite=cite,
ext='tsv.gz'))
l1 = 'en'
PARACRAWL_v7_1 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release7.1/%s-%s.txt.gz'
for l2 in 'bg cs da de el es et fi fr ga hr hu is it lt lv mt nl pl pt ro sk sl sv'.split(
):
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v7_1',
url=PARACRAWL_v7_1 % (l1, l2),
cite=cite,
ext='tsv.gz'))
PARACRAWL_v7_1 = 'https://s3.amazonaws.com/web-language-models/paracrawl/release7/%s-%s.txt.gz'
for pair in 'en-nb en-nn es-ca es-eu es-gl'.split():
l1, l2 = pair.split('-')
index.add_entry(
Entry(langs=(l1, l2),
name='paracrawl_v7',
url=PARACRAWL_v7_1 % (l1, l2),
cite=cite,
ext='tsv.gz'))
PARACRAWL_V8 = 'https://archive.org/download/ParaCrawl-{version}/{pair}.txt.gz'
for version, pairs in [
('v8.0', 'en-bg en-cs en-da en-de en-el'),
('v8.0-0001',
'en-et en-fi en-fr en-ga en-hr en-hu en-is en-it en-lt en-lv en-mt en-nl en-no en-pl en-pt en-ro en-sk en-sl'
), ('v8.0-0002', 'en-sv es-eu'), ('v8.1-0000', 'es-ca es-gl')
]:
for pair in pairs.split():
l1, l2 = pair.split('-')
url = PARACRAWL_V8.format(version=version, pair=pair)
ent = Entry(langs=(l1, l2),
name='paracrawl_v8',
url=url,
cite=cite,
ext='tsv.gz')
index.add_entry(ent)
PARACRAWL_BONUS = 'https://s3.amazonaws.com/web-language-models/paracrawl/bonus/{pair}.txt.gz'
for pair in 'en-km en-my en-ne en-ps en-si en-so en-sw en-tl en-ru en-ko'.split(
):
l1, l2 = pair.split('-')
url = PARACRAWL_BONUS.format(pair=pair)
ent = Entry(langs=(l1, l2),
name='paracrawl_bonus',
url=url,
cite=cite,
ext='tsv.gz')
index.add_entry(ent)
def load(index: Index):
WMT13_CCRAWL = "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz"
WMT14_CITE = """@proceedings{ws-2014-statistical,
title = "Proceedings of the Ninth Workshop on Statistical Machine Translation",
editor = "Bojar, Ond{\v{r}}ej and
Buck, Christian and
Federmann, Christian and
Haddow, Barry and
Koehn, Philipp and
Monz, Christof and
Post, Matt and
Specia, Lucia",
month = jun,
year = "2014",
address = "Baltimore, Maryland, USA",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W14-3300",
doi = "10.3115/v1/W14-33",
}"""
for l1 in ['de', 'cs', 'fr', 'ru', 'es']:
l2 = 'en'
f1 = f'commoncrawl.{l1}-en.{l1}'
f2 = f'commoncrawl.{l1}-en.en'
index.add_entry(
Entry(langs=(l1, l2),
name=f'wmt13_commoncrawl',
url=WMT13_CCRAWL,
filename='wmt13_parallel_commoncrawl.tgz',
in_paths=[f1, f2],
in_ext='txt',
cite=WMT14_CITE))
# === WMT 13 release of europarl_v7 ===
for l1 in ['cs', 'de', 'fr', 'es']:
l2 = 'en'
f1 = f'training/europarl-v7.{l1}-{l2}.{l1}'
f2 = f'training/europarl-v7.{l1}-{l2}.{l2}'
index.add_entry(
Entry(
langs=(l1, l2),
name=f'wmt13_europarl_v7',
url=
"http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
filename="wmt13_europarl_v7.tgz",
in_paths=[f1, f2],
in_ext='txt',
cite=WMT14_CITE))
# ==== WMT 18 news commentary v13 ===
for l1 in ['cs', 'de', 'ru', 'zh']:
l2 = 'en'
f1 = f'training-parallel-nc-v13/news-commentary-v13.{l1}-{l2}.{l1}'
f2 = f'training-parallel-nc-v13/news-commentary-v13.{l1}-{l2}.{l2}'
index.add_entry(
Entry(
langs=(l1, l2),
name=f'wmt18_news_commentary_v13',
url=
"http://data.statmt.org/wmt18/translation-task/training-parallel-nc-v13.tgz",
filename="wmt18_news_commentary_v13.tgz",
in_paths=[f1, f2],
in_ext='txt',
cite=WMT14_CITE))
# === Europarl V9 corpus
EUROPARL_v9 = 'http://www.statmt.org/europarl/v9/training/europarl-v9.%s-%s.tsv.gz'
cite = r"""@inproceedings{koehn2005europarl,
title={Europarl: A parallel corpus for statistical machine translation},
author={Koehn, Philipp},
booktitle={MT summit},
volume={5},
pages={79--86},
year={2005},
organization={Citeseer}
}"""
for pair in ['de en', 'cs en', 'cs pl', 'es pt', 'fi en', 'lt en']:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='europarl_v9',
url=EUROPARL_v9 % (l1, l2),
cite=cite))
# === Europarl V7 corpus
EUROPARL_v7 = 'http://www.statmt.org/europarl/v7/%s-%s.tgz'
cite = r"""@inproceedings{bojar-etal-2017-findings,
title = "Findings of the 2017 Conference on Machine Translation ({WMT}17)",
author = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Graham, Yvette and
Haddow, Barry and
Huang, Shujian and
Huck, Matthias and
Koehn, Philipp and
Liu, Qun and
Logacheva, Varvara and
Monz, Christof and
Negri, Matteo and
Post, Matt and
Rubino, Raphael and
Specia, Lucia and
Turchi, Marco",
booktitle = "Proceedings of the Second Conference on Machine Translation",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W17-4717",
doi = "10.18653/v1/W17-4717",
pages = "169--214",
}"""
for l1 in 'bg cs da de el es et fi fr hu it lt lv nl pl pt ro sk sl sv'.split(
):
l2 = 'en'
src = f'europarl-v7.{l1}-{l2}.{l1}'
ref = f'europarl-v7.{l1}-{l2}.{l2}'
index.add_entry(
Entry(langs=(l1, l2),
name='europarl_v7',
in_paths=[src, ref],
url=EUROPARL_v7 % (l1, l2),
in_ext='txt',
cite=cite))
# === Digital Corpus of European Parliament
index.add_entry(
Entry(
langs=('lv', 'en'),
name='wmt17_dcep_v1',
in_paths=['*/*.lv', f'*/*.en'],
cite=cite,
url=
'http://data.statmt.org/wmt17/translation-task/dcep.lv-en.v1.tgz'))
index.add_entry(
Entry(
langs=('lv', 'en'),
name='wmt17_books_v1',
in_paths=['*/*.lv', f'*/*.en'],
cite=cite,
url=
'http://data.statmt.org/wmt17/translation-task/books.lv-en.v1.tgz')
)
# === News Commentary v14
NEWSCOM_v14 = "http://data.statmt.org/news-commentary/v14/training/news-commentary-v14.%s-%s.tsv.gz"
cite = r"""@inproceedings{bojar-etal-2018-findings,
title = "Findings of the 2018 Conference on Machine Translation ({WMT}18)",
author = "Bojar, Ond{\v{r}}ej and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W18-6401",
doi = "10.18653/v1/W18-6401",
pages = "272--303"
}"""
for pair in [
'ar cs', 'ar de', 'ar en', 'ar es', 'ar fr', 'ar hi', 'ar id',
'ar it', 'ar ja', 'ar kk', 'ar nl', 'ar pt', 'ar ru', 'ar zh',
'cs de', 'cs en', 'cs es', 'cs fr', 'cs hi', 'cs id', 'cs it',
'cs ja', 'cs kk', 'cs nl', 'cs pt', 'cs ru', 'cs zh', 'de en',
'de es', 'de fr', 'de hi', 'de id', 'de it', 'de ja', 'de kk',
'de nl', 'de pt', 'de ru', 'de zh', 'en es', 'en fr', 'en hi',
'en id', 'en it', 'en ja', 'en kk', 'en nl', 'en pt', 'en ru',
'en zh', 'es fr', 'es hi', 'es id', 'es it', 'es ja', 'es kk',
'es nl', 'es pt', 'es ru', 'es zh', 'fr hi', 'fr id', 'fr it',
'fr ja', 'fr kk', 'fr nl', 'fr pt', 'fr ru', 'fr zh', 'hi id',
'hi it', 'hi nl', 'hi pt', 'hi ru', 'hi zh', 'id it', 'id kk',
'id nl', 'id pt', 'id ru', 'id zh', 'it kk', 'it nl', 'it pt',
'it ru', 'it zh', 'ja ru', 'ja zh', 'kk nl', 'kk pt', 'kk ru',
'kk zh', 'nl pt', 'nl ru', 'nl zh', 'pt ru', 'pt zh', 'ru zh'
]:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='news_commentary_v14',
url=NEWSCOM_v14 % (l1, l2),
cite=cite))
# ===== Wiki Titles V1
WIKI_TITLES_v1 = 'http://data.statmt.org/wikititles/v1/wikititles-v1.%s-%s.tsv.gz'
cite = r"""@inproceedings{barrault-etal-2019-findings,
title = "Findings of the 2019 Conference on Machine Translation ({WMT}19)",
author = {Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Costa-juss{\`a}, Marta R. and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Koehn, Philipp and
Malmasi, Shervin and
Monz, Christof and
M{\"u}ller, Mathias and
Pal, Santanu and
Post, Matt and
Zampieri, Marcos},
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W19-5301",
doi = "10.18653/v1/W19-5301",
pages = "1--61"
}"""
for pair in [
'cs en', 'cs pl', 'de en', 'es pt', 'fi en', 'gu en', 'hi ne',
'kk en', 'lt en', 'ru en', 'zh en'
]:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='wiki_titles_v1',
url=WIKI_TITLES_v1 % (l1, l2),
cite=cite))
# ===== Wiki Titles V2
WIKI_TITLES_v2 = 'http://data.statmt.org/wikititles/v2/wikititles-v2.%s-%s.tsv.gz'
for pair in [
'ca es', 'cs en', 'de en', 'de fr', 'es pt', 'iu en', 'ja en',
'pl en', 'ps en', 'ru en', 'ta en', 'zh en'
]:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='wiki_titles_v2',
url=WIKI_TITLES_v2 % (l1, l2),
cite=cite))
# ==== WMT Dev and Tests
wmt_sets = {
'newstest2014': [('de', 'en'), ('cs', 'en'), ('fr', 'en'),
('ru', 'en'), ('hi', 'en')],
'newsdev2015': [('fi', 'en'), ('en', 'fi')],
'newstest2015':
[('fi', 'en'), ('en', 'cs'), ('cs', 'en'), ('en', 'ru'), ('en', 'de'),
('de', 'en'), ('ru', 'en'), ('en', 'fi')],
'newsdev2016': [('en', 'ro'), ('ro', 'en'), ('tr', 'en'),
('en', 'tr')],
'newstest2016':
[('de', 'en'), ('en', 'de'), ('en', 'ro'), ('en', 'fi'), ('ro', 'en'),
('ru', 'en'), ('fi', 'en'), ('en', 'ru'), ('tr', 'en'), ('cs', 'en'),
('en', 'tr'), ('en', 'cs')],
'newsdev2017': [('zh', 'en'), ('lv', 'en'), ('en', 'zh'),
('en', 'lv')],
'newstest2017':
[('zh', 'en'), ('ru', 'en'), ('en', 'fi'), ('lv', 'en'), ('en', 'de'),
('de', 'en'), ('cs', 'en'), ('en', 'cs'), ('en', 'tr'), ('en', 'ru'),
('tr', 'en'), ('fi', 'en'), ('en', 'zh'), ('en', 'lv')],
'newsdev2018': [('et', 'en'), ('en', 'et')],
'newstest2018':
[('ru', 'en'), ('zh', 'en'), ('et', 'en'), ('en', 'fi'), ('en', 'de'),
('de', 'en'), ('en', 'cs'), ('en', 'tr'), ('cs', 'en'), ('tr', 'en'),
('en', 'ru'), ('en', 'et'), ('fi', 'en'), ('en', 'zh')],
'newsdev2019': [('gu', 'en'), ('kk', 'en'), ('en', 'lt'), ('en', 'kk'),
('lt', 'en'), ('en', 'gu')],
'newstest2019':
[('de', 'en'), ('de', 'fr'), ('kk', 'en'), ('en', 'de'), ('en', 'fi'),
('ru', 'en'), ('zh', 'en'), ('gu', 'en'), ('en', 'kk'), ('en', 'zh'),
('cs', 'de'), ('fi', 'en'), ('en', 'gu'), ('lt', 'en'), ('de', 'cs'),
('en', 'lt'), ('en', 'ru'), ('en', 'cs'), ('fr', 'de')],
'newsdev2020': [('iu', 'en'), ('en', 'ta'), ('ta', 'en'), ('pl', 'en'),
('en', 'iu'), ('en', 'ja'), ('ja', 'en'), ('en', 'pl')]
}
for set_name, pairs in wmt_sets.items():
for l1, l2 in pairs:
src = f'dev/{set_name}-{l1}{l2}-src.{l1}.sgm'
ref = f'dev/{set_name}-{l1}{l2}-ref.{l2}.sgm'
name = f'{set_name}_{l1}{l2}'
index.add_entry(
Entry(
(l1, l2),
name=name,
filename='wmt20dev.tgz',
in_paths=[src, ref],
url='http://data.statmt.org/wmt20/translation-task/dev.tgz',
cite=cite))
# Multi parallel
wmt_sets = {
'2009': ['en', 'cs', 'de', 'es', 'fr'],
'2010': ['en', 'cs', 'de', 'es', 'fr'],
'2011': ['en', 'cs', 'de', 'es', 'fr'],
'2012': ['en', 'cs', 'de', 'es', 'fr', 'ru'],
'2013': ['en', 'cs', 'de', 'es', 'fr', 'ru'],
}
for year, langs in wmt_sets.items():
for l1, l2 in itertools.combinations(langs, 2):
name = f'newstest{year}'
f1 = f'dev/{name}.{l1}'
f2 = f'dev/{name}.{l2}'
index.add_entry(
Entry(
(l1, l2),
name=name,
filename='wmt20dev.tgz',
in_paths=[f1, f2],
in_ext='txt',
cite=cite,
url='http://data.statmt.org/wmt20/translation-task/dev.tgz'
))
for l1, l2 in [('ps', 'en'), ('km', 'en')]:
for set_name in ['wikipedia.dev', 'wikipedia.devtest']:
src = f'dev/{set_name}.{l1}-{l2}.{l1}'
ref = f'dev/{set_name}.{l1}-{l2}.{l2}'
name = f'{set_name.replace(".", "_")}_{l1}{l2}'
index.add_entry(
Entry(
(l1, l2),
name=name,
filename='wmt20dev.tgz',
in_paths=[src, ref],
url='http://data.statmt.org/wmt20/translation-task/dev.tgz',
in_ext='txt',
cite=cite))
# ==== TED Talks 2.0 ar-en
index.add_entry(
Entry(
('en', 'ar'),
'tedtalks_v2_clean',
ext='tsv.xz',
url='http://data.statmt.org/ted-talks/en-ar.v2.aligned.clean.xz'))
# ==== Europarl v10
EP_v10 = "http://www.statmt.org/europarl/v10/training/europarl-v10.%s-%s.tsv.gz"
wmt20_cite = None # TODO: update
for pair in [
'cs en', 'cs pl', 'de en', 'de fr', 'es pt', 'fi en', 'fr en',
'lt en', 'pl en'
]:
l1, l2 = pair.split()
index.add_entry(
Entry(langs=(l1, l2),
name='europarl_v10',
url=EP_v10 % (l1, l2),
cite=wmt20_cite))
# ==== PMIndia V1
PMINDIA_v1 = "http://data.statmt.org/pmindia/v1/parallel/pmindia.v1.%s-%s.tsv"
cite = r"""@ARTICLE{2020arXiv200109907H,
author = {{Haddow}, Barry and {Kirefu}, Faheem},
title = "{PMIndia -- A Collection of Parallel Corpora of Languages of India}",
journal = {arXiv e-prints},
keywords = {Computer Science - Computation and Language},
year = "2020",
month = "Jan",
eid = {arXiv:2001.09907},
pages = {arXiv:2001.09907},
archivePrefix = {arXiv},
eprint = {2001.09907}
}"""
for pair in [
"as en", "bn en", "gu en", "hi en", "kn en", "ml en", "mni en",
"mr en", "or en", "pa en", "ta en", "te en", "ur en"
]:
l1, l2 = pair.split()
# Note: listed as xx-en in URL but actually en-xx in the tsv; and its not compressed!
index.add_entry(
Entry(langs=(l2, l1),
name='pmindia_v1',
url=PMINDIA_v1 % (l1, l2),
cite=cite))
# Pashto - English pseudo parallel dataset for alignment
index.add_entry(
Entry(
langs=('en', 'ps'),
name='wmt20_enps_aligntask',
url=
'http://data.statmt.org/wmt20/translation-task/ps-km/wmt20-sent.en-ps.xz',
cite=wmt20_cite,
ext='tsv.xz'))
# Pashto - English mostly parallel dataset
for name in [
"GNOME.en-ps", "KDE4.en-ps", "Tatoeba.en-ps", "Ubuntu.en-ps",
"bible.en-ps.clean", "ted-wmt20.en-ps", "wikimedia.en-ps"
]:
ps = f'ps-parallel/{name}.ps'
en = f'ps-parallel/{name}.en'
url = 'http://data.statmt.org/wmt20/translation-task/ps-km/ps-parallel.tgz'
name = name.replace('.en-ps',
'').replace('.', '_').replace('-', '_').lower()
entry = Entry(langs=('ps', 'en'),
name=name,
url=url,
cite=wmt20_cite,
in_paths=[ps, en],
filename='wmt20-psen-parallel.tgz',
in_ext='txt')
index.add_entry(entry)
def load_all(index: Index):
# === IITB hin eng http://www.cfilt.iitb.ac.in/iitb_parallel/
cite = index.ref_db.get_bibtex('Kunchukuttan-etal-iitb')
l1, l2 = 'hi', 'en'
for version, prefix in [
#('v1_0', 'http://www.cfilt.iitb.ac.in/iitb_parallel/iitb_corpus_download'),
('v1_5',
'http://www.cfilt.iitb.ac.in/~moses/iitb_en_hi_parallel/iitb_corpus_download'
)
]:
# they also have v2, but the link is broken http://www.cfilt.iitb.ac.in/iitb_parallel/
# version is not explicit, but guessed from file modification time and description
url = prefix + "/parallel.tgz"
ent = Entry(langs=(l1, l2),
url=url,
filename=f'IITB{version}-hin_eng-parallel.tar.gz',
name=f'IITB{version}_train',
in_ext='txt',
cite=cite,
in_paths=[
f'parallel/IITB.en-hi.{l1}',
f'parallel/IITB.en-hi.{l2}'
])
index.add_entry(ent)
url = prefix + "/dev_test.tgz"
for split in ['dev', 'test']:
f1 = f'dev_test/{split}.{l1}'
f2 = f'dev_test/{split}.{l2}'
ent = Entry(langs=(l1, l2),
url=url,
filename=f'IITB{version}-hin_eng-dev_test.tar.gz',
name=f'IITB{version}_{split}',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
# == Japanese ==
cite = index.ref_db.get_bibtex('neubig11kftt')
url = "http://www.phontron.com/kftt/download/kftt-data-1.0.tar.gz"
l1, l2 = 'en', 'ja'
for split in ['train', 'test', 'dev', 'tune']:
f1 = f'kftt-data-1.0/data/orig/kyoto-{split}.{l1}'
f2 = f'kftt-data-1.0/data/orig/kyoto-{split}.{l2}'
ent = Entry(langs=(l1, l2),
url=url,
filename="kftt-data-1.0.tar.gz",
name=f'kftt_v1_{split}',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
url = "http://lotus.kuee.kyoto-u.ac.jp/WAT/my-en-data/wat2020.my-en.zip"
cite = index.ref_db.get_bibtex('ding2020a')
for split in ['dev', 'test', 'train']:
ent = Entry(langs=('my', 'en'),
url=url,
name=f'WAT2020_ALT_{split}',
in_ext='txt',
cite=cite,
filename='wat2020.my-en.zip',
in_paths=[
f'wat2020.my-en/alt/{split}.alt.my',
f'wat2020.my-en/alt/{split}.alt.en'
])
index.add_entry(ent)
l1, l2 = 'iu', 'en'
url = "https://nrc-digital-repository.canada.ca/eng/view/dataset/?id=c7e34fa7-7629-43c2-bd6d-19b32bf64f60"
cite = index.ref_db.get_bibtex('joanis-etal-2020-nunavut')
for split in ['dev', 'devtest', 'test', 'train']:
path_pref = f'Nunavut-Hansard-Inuktitut-English-Parallel-Corpus-3.0/split/{split}'
if split != 'train':
path_pref += '-dedup'
ent = Entry(langs=(l1, l2),
url=url,
name=f'NunavutHansard_v3_{split}',
in_ext='txt',
cite=cite,
filename='NunavutHansard_iuen_v3.tgz',
in_paths=[f'{path_pref}.{l1}', f'{path_pref}.{l2}'])
index.add_entry(ent)
# https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-2122
url = "https://lindat.mff.cuni.cz/repository/xmlui/bitstream/handle/11234/1-2122/khresmoi-summary-test-set-2.0.zip"
cite = index.ref_db.get_bibtex('Khresmoi')
langs = ["cs", "de", "en", "es", "fr", "hu", "pl", "sv"]
for i, l1 in enumerate(langs):
for l2 in langs[i + 1:]:
ent = Entry(
langs=(l1, l2),
url=url,
name='Khresmoi_Summary_Test_v2',
filename='khresmoi-summary-test-set-2.0.zip',
cite=cite,
in_paths=[
f"khresmoi-summary-test-set-2.0/khresmoi-summary-test.{l1}",
f"khresmoi-summary-test-set-2.0/khresmoi-summary-test.{l2}"
],
in_ext='txt')
index.add_entry(ent)
ent = Entry(
langs=(l1, l2),
url=url,
name='Khresmoi_Summary_Dev_v2',
filename='khresmoi-summary-test-set-2.0.zip',
cite=cite,
in_paths=[
f"khresmoi-summary-test-set-2.0/khresmoi-summary-dev.{l1}",
f"khresmoi-summary-test-set-2.0/khresmoi-summary-dev.{l2}"
],
in_ext='txt')
index.add_entry(ent)
def load_all(index: Index):
# === IITB hin eng http://www.cfilt.iitb.ac.in/iitb_parallel/
cite = """@article{DBLP:journals/corr/abs-1710-02855,
author = {Anoop Kunchukuttan and
Pratik Mehta and
Pushpak Bhattacharyya},
title = {The {IIT} Bombay English-Hindi Parallel Corpus},
journal = {CoRR},
volume = {abs/1710.02855},
year = {2017},
url = {http://arxiv.org/abs/1710.02855},
archivePrefix = {arXiv},
eprint = {1710.02855},
timestamp = {Mon, 13 Aug 2018 16:48:50 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1710-02855.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}"""
l1, l2 = 'hi', 'en'
for version, prefix in [
#('v1_0', 'http://www.cfilt.iitb.ac.in/iitb_parallel/iitb_corpus_download'),
('v1_5',
'http://www.cfilt.iitb.ac.in/~moses/iitb_en_hi_parallel/iitb_corpus_download'
)
]:
# they also have v2, but the link is broken http://www.cfilt.iitb.ac.in/iitb_parallel/
# version is not explicit, but guessed from file modification time and description
url = prefix + "/parallel.tgz"
ent = Entry(langs=(l1, l2),
url=url,
filename=f'IITB{version}-hin_eng-parallel.tar.gz',
name=f'IITB{version}_train',
in_ext='txt',
cite=cite,
in_paths=[
f'parallel/IITB.en-hi.{l1}',
f'parallel/IITB.en-hi.{l2}'
])
index.add_entry(ent)
url = prefix + "/dev_test.tgz"
for split in ['dev', 'test']:
f1 = f'dev_test/{split}.{l1}'
f2 = f'dev_test/{split}.{l2}'
ent = Entry(langs=(l1, l2),
url=url,
filename=f'IITB{version}-hin_eng-dev_test.tar.gz',
name=f'IITB{version}_{split}',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
# == Japanese ==
cite = """@misc{neubig11kftt,
author = {Graham Neubig},
title = {The {Kyoto} Free Translation Task},
howpublished = {http://www.phontron.com/kftt},
year = {2011}
}"""
url = "http://www.phontron.com/kftt/download/kftt-data-1.0.tar.gz"
l1, l2 = 'en', 'ja'
for split in ['train', 'test', 'dev', 'tune']:
f1 = f'kftt-data-1.0/data/orig/kyoto-{split}.{l1}'
f2 = f'kftt-data-1.0/data/orig/kyoto-{split}.{l2}'
ent = Entry(langs=(l1, l2),
url=url,
filename="kftt-data-1.0.tar.gz",
name=f'kftt_v1_{split}',
in_ext='txt',
in_paths=[f1, f2],
cite=cite)
index.add_entry(ent)
def load_all(index: Index):
URL = "https://object.pouta.csc.fi/OPUS-100/v1.0/opus-100-corpus-v1.0.tar.gz"
cite = """
@inproceedings{zhang-etal-2020-improving,
title = "Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation",
author = "Zhang, Biao and
Williams, Philip and
Titov, Ivan and
Sennrich, Rico",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-main.148",
doi = "10.18653/v1/2020.acl-main.148",
pages = "1628--1639",
}
@inproceedings{tiedemann2012parallel,
title={Parallel Data, Tools and Interfaces in OPUS.},
author={Tiedemann, J{\"o}rg},
booktitle={Lrec},
volume={2012},
pages={2214--2218},
year={2012}
}"""
filename = 'opus-100-corpus-v1.0.tar.gz'
code_map = dict(
nb='nob',
sh='hbs') # these arent obvious to iso lookup function, so helping
for pair in supervised_v1:
l1, l2 = pair.split("-")
l1 = code_map.get(l1, l1)
l2 = code_map.get(l2, l2)
splits = ['train', 'dev', 'test']
if pair in {'an-en', 'en-yo', 'dz-en', 'en-hy', 'en-mn'}:
splits = ['train'
] # somehow they forgot to include test sets for these
for split in splits:
f1 = f'opus-100-corpus/v1.0/supervised/{l1}-{l2}/opus.{l1}-{l2}-{split}.{l1}'
f2 = f'opus-100-corpus/v1.0/supervised/{l1}-{l2}/opus.{l1}-{l2}-{split}.{l2}'
ent = Entry(langs=(l1, l2),
url=URL,
name=f'OPUS100v1_{split}',
filename=filename,
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
for pair in zeroshot_v1:
l1, l2 = pair.split("-")
f1 = f'opus-100-corpus/v1.0/zero-shot/{l1}-{l2}/opus.{l1}-{l2}-test.{l1}'
f2 = f'opus-100-corpus/v1.0/zero-shot/{l1}-{l2}/opus.{l1}-{l2}-test.{l2}'
ent = Entry(langs=(l1, l2),
url=URL,
name=f'OPUS100v1_test',
filename=filename,
in_paths=[f1, f2],
in_ext='txt',
cite=cite)
index.add_entry(ent)
def load_all(index: Index):
data = """am-en am-fr ar-am ar-en ar-fr aym-am aym-ar aym-en aym-fr bg-ar bg-aym bg-en bg-fr
bn-am bn-ar bn-aym bn-bg bn-en bn-fr ca-am ca-ar ca-aym ca-bg ca-bn ca-en ca-fr cs-ar cs-aym
cs-bg cs-bn cs-ca cs-en cs-fr da-am da-ar da-aym da-bg da-bn da-ca da-cs da-en da-fr de-am
de-ar de-aym de-bg de-bn de-ca de-cs de-da de-en de-fr el-am el-ar el-aym el-bg el-bn el-ca
el-cs el-da el-de el-en el-fr eo-ar eo-aym eo-bg eo-bn eo-ca eo-cs eo-da eo-de eo-el eo-en
eo-fr es-am es-ar es-aym es-bg es-bn es-ca es-cs es-da es-de es-el es-en es-eo es-fr fa-am
fa-ar fa-aym fa-bg fa-bn fa-ca fa-cs fa-da fa-de fa-el fa-en fa-eo fa-es fa-fr fil-ar fil-aym
fil-bg fil-bn fil-ca fil-cs fil-da fil-de fil-el fil-en fil-eo fil-es fil-fa fil-fr fr-en he-ar
he-bn he-ca he-cs he-da he-de he-el he-en he-es he-fa he-fr hi-am hi-ar hi-bg hi-bn hi-cs hi-de
hi-el hi-en hi-eo hi-es hi-fa hi-fr hu-am hu-ar hu-aym hu-bg hu-bn hu-ca hu-cs hu-da hu-de
hu-el hu-en hu-eo hu-es hu-fa hu-fil hu-fr hu-hi id-am id-ar id-aym id-bg id-bn id-ca id-cs
id-da id-de id-el id-en id-eo id-es id-fa id-fil id-fr id-hi id-hu it-am it-ar it-aym it-bg it-bn
it-ca it-cs it-da it-de it-el it-en it-eo it-es it-fa it-fil it-fr it-he it-hi it-hu it-id jp-am
jp-ar jp-aym jp-bg jp-bn jp-ca jp-cs jp-da jp-de jp-el jp-en jp-eo jp-es jp-fa jp-fil jp-fr
jp-he jp-hi jp-hu jp-id jp-it km-ar km-aym km-bn km-ca km-da km-de km-el km-en km-es km-fa km-fil
km-fr km-hu km-it km-jp ko-am ko-ar ko-aym ko-bg ko-bn ko-ca ko-cs ko-da ko-de ko-el ko-en ko-eo
ko-es ko-fa ko-fil ko-fr ko-hu ko-id ko-it ko-jp ku-ar ku-el ku-en ku-es ku-fr ku-it ku-jp mg-am
mg-ar mg-aym mg-bg mg-bn mg-ca mg-cs mg-da mg-de mg-el mg-en mg-eo mg-es mg-fa mg-fil mg-fr
mg-he mg-hi mg-hu mg-id mg-it mg-jp mg-km mg-ko mg-ku mk-am mk-ar mk-aym mk-bg mk-bn mk-ca mk-cs
mk-da mk-de mk-el mk-en mk-eo mk-es mk-fa mk-fil mk-fr mk-he mk-hi mk-hu mk-id mk-it mk-jp mk-km
mk-ko mk-mg my-am my-ar my-aym my-bg my-bn my-ca my-cs my-da my-de my-el my-en my-es my-fa my-fil
my-fr my-he my-hi my-hu my-id my-it my-jp my-ko my-mg my-mk ne-ar ne-aym ne-bg ne-bn ne-ca ne-cs
ne-de ne-el ne-en ne-eo ne-es ne-fa ne-fr ne-hi ne-id ne-it ne-jp ne-ko ne-mg ne-mk nl-am nl-ar
nl-aym nl-bg nl-bn nl-ca nl-cs nl-da nl-de nl-el nl-en nl-eo nl-es nl-fa nl-fil nl-fr nl-he nl-hi
nl-hu nl-id nl-it nl-jp nl-km nl-ko nl-mg nl-mk nl-my nl-ne or-ar or-aym or-bn or-ca or-cs or-de
or-el or-en or-es or-fa or-fr or-hi or-it or-jp or-mg or-mk or-nl pa-ar pa-bn pa-ca pa-cs pa-de
pa-el pa-en pa-es pa-fr pa-hi pa-hu pa-it pa-jp pa-ko pa-mg pa-mk pa-ne pa-nl pl-am pl-ar pl-aym
pl-bg pl-bn pl-ca pl-cs pl-da pl-de pl-el pl-en pl-eo pl-es pl-fa pl-fil pl-fr pl-he pl-hi pl-hu
pl-id pl-it pl-jp pl-ko pl-ku pl-mg pl-mk pl-my pl-ne pl-nl pl-or pl-pa pt-am pt-ar pt-aym pt-bg
pt-bn pt-ca pt-cs pt-da pt-de pt-el pt-en pt-eo pt-es pt-fa pt-fil pt-fr pt-he pt-hi pt-hu pt-id
pt-it pt-jp pt-km pt-ko pt-ku pt-mg pt-mk pt-my pt-ne pt-nl pt-or pt-pa pt-pl ro-ar ro-aym ro-bg
ro-bn ro-ca ro-cs ro-de ro-el ro-en ro-eo ro-es ro-fa ro-fr ro-hu ro-id ro-it ro-jp ro-ko ro-ku
ro-mg ro-mk ro-my ro-ne ro-nl ro-pl ro-pt ru-am ru-ar ru-aym ru-bg ru-bn ru-ca ru-cs ru-da ru-de
ru-el ru-en ru-eo ru-es ru-fa ru-fil ru-fr ru-he ru-hi ru-hu ru-id ru-it ru-jp ru-km ru-ko ru-mg
ru-mk ru-my ru-ne ru-nl ru-or ru-pa ru-pl ru-pt ru-ro sq-am sq-ar sq-aym sq-bg sq-bn sq-ca sq-cs
sq-da sq-de sq-el sq-en sq-eo sq-es sq-fa sq-fil sq-fr sq-hi sq-hu sq-id sq-it sq-jp sq-ko sq-mg
sq-mk sq-my sq-nl sq-pl sq-pt sq-ru sr-am sr-ar sr-aym sr-bg sr-bn sr-ca sr-cs sr-da sr-de sr-el
sr-en sr-eo sr-es sr-fa sr-fil sr-fr sr-hi sr-hu sr-id sr-it sr-jp sr-km sr-ko sr-mg sr-mk sr-my
sr-ne sr-nl sr-pl sr-pt sr-ro sr-ru sr-sq sv-am sv-ar sv-aym sv-bg sv-bn sv-ca sv-cs sv-da sv-de
sv-el sv-en sv-eo sv-es sv-fa sv-fil sv-fr sv-he sv-hi sv-hu sv-id sv-it sv-jp sv-ko sv-mg sv-mk
sv-my sv-nl sv-pl sv-pt sv-ro sv-ru sv-sq sv-sr sw-am sw-ar sw-aym sw-bg sw-bn sw-ca sw-cs sw-da
sw-de sw-el sw-en sw-eo sw-es sw-fa sw-fil sw-fr sw-he sw-hi sw-hu sw-id sw-it sw-jp sw-km sw-ko
sw-mg sw-mk sw-my sw-ne sw-nl sw-pa sw-pl sw-pt sw-ro sw-ru sw-sq sw-sr sw-sv tet-ar tet-aym
tet-bn tet-cs tet-de tet-el tet-en tet-es tet-fr tet-id tet-it tet-mg tet-pt tet-ru tet-sw tr-am
tr-ar tr-aym tr-bg tr-bn tr-ca tr-cs tr-da tr-de tr-el tr-en tr-eo tr-es tr-fa tr-fil tr-fr tr-he
tr-hi tr-hu tr-id tr-it tr-jp tr-ko tr-mg tr-mk tr-my tr-ne tr-nl tr-pa tr-pl tr-pt tr-ro tr-ru
tr-sq tr-sr tr-sv tr-sw ur-am ur-ar ur-aym ur-bg ur-bn ur-ca ur-cs ur-da ur-de ur-el ur-en ur-eo
ur-es ur-fa ur-fil ur-fr ur-he ur-hi ur-hu ur-id ur-it ur-jp ur-ko ur-mg ur-mk ur-my ur-ne ur-nl
ur-or ur-pa ur-pl ur-pt ur-ro ur-ru ur-sq ur-sr ur-sv ur-sw ur-tr yo-ar yo-el yo-en yo-es yo-fr
yo-it yo-mg yo-pl yo-pt yo-ru yo-sw zhs-am zhs-ar zhs-aym zhs-bg zhs-bn zhs-ca zhs-cs zhs-da
zhs-de zhs-el zhs-en zhs-eo zhs-es zhs-fa zhs-fil zhs-fr zhs-he zhs-hi zhs-hu zhs-id zhs-it
zhs-jp zhs-km zhs-ko zhs-mg zhs-mk zhs-my zhs-ne zhs-nl zhs-pa zhs-pl zhs-pt zhs-ro zhs-ru
zhs-sq zhs-sr zhs-sv zhs-sw zhs-tr zhs-ur zht-am zht-ar zht-aym zht-bg zht-bn zht-ca zht-cs
zht-da zht-de zht-el zht-en zht-eo zht-es zht-fa zht-fil zht-fr zht-he zht-hi zht-hu zht-id
zht-it zht-jp zht-km zht-ko zht-mg zht-mk zht-my zht-ne zht-nl zht-pa zht-pl zht-pt zht-ro
zht-ru zht-sq zht-sr zht-sv zht-sw zht-tet zht-tr zht-ur zht-zhs"""
url = 'http://casmacat.eu/corpus/global-voices-tar-balls/training.tgz'
cite = """Philipp Koehn, "Global Voices Corpus" http://casmacat.eu/corpus/global-voices.html """
# any hot fixes for lang id mapping specific to this source
code_map = {
'jp':
'jpn', # there was never a jp in ISO 693, it was always a 'ja' not 'jp'
'zhs': 'zho' # map simplified to chinese
}
code_map = code_map.get
for pair in data.split():
if 'zht' in pair:
continue #skipping traditional chinese because I dont know the ISO code for it
l1, l2 = pair.split('-')
f1 = f'training/globalvoices.{l1}-{l2}.{l1}'
f2 = f'training/globalvoices.{l1}-{l2}.{l2}'
l1, l2 = code_map(l1, l1), code_map(l2, l2) # map codes
ent = Entry(langs=(l1, l2),
name='GlobalVoices_2018Q4',
url=url,
filename='GlobalVoices_2018Q4-training.tgz',
in_ext='txt',
cite=cite,
in_paths=[f1, f2])
index.add_entry(ent)
63pt63fwgh219k8,roru
orhildoo8ozxap7,rosv
jc4c1uzh6ftq9o9,rotr
sow4dk9p00xxslg,rozh
huiyn8hjpq5lizv,rusv
8lx5tz7x1cyil3d,rutr
jcbphinsu1oedtb,ruzh
ldlxxbhembwmoec,svtr
f6lhyojcnua3od6,svzh
a4iffiidjb8he13,trzh"""
def load_all(index: Index):
url_ptn = 'https://www.dropbox.com/s/{uid}/wikititles-2014_{l1}{l2}.tgz?dl=1'
rows = [row.split(',') for row in wiki_titles.splitlines()]
for row in rows:
uid, pair = row
assert len(pair) == 4
l1, l2 = pair[:2], pair[2:]
url = url_ptn.format(uid=uid, l1=l1, l2=l2)
in_file = f'wikititles-2014_{l1}{l2}'
ent = Entry(did=DatasetId(group='LinguaTools', name=f'wikititles', version='2014', langs=(l1, l2)),
url=url, ext='tgz', in_ext='txt', in_paths=[f'{in_file}.{l1}', f'{in_file}.{l2}'])
index.add_entry(ent)
if __name__ == '__main__':
index = Index()
load_all(index)
print("loaded", len(index))