Comments (2)
I suspect this is happening because of default Unicode setting of my Docker container.
so I put a.decode('utf-8')
in clean(path)
, and it pass for the first dataset, but not the second one.
.data/iwslt/de-en/IWSLT16.TED.tst2012.de-en.en.xml
.data/iwslt/de-en/IWSLT16.TED.tst2013.de-en.de.xml
---------------------------------------------------------------------------
UnicodeEncodeError Traceback (most recent call last)
<ipython-input-39-c069794b494b> in <module>()
23 train, val, test = datasets.IWSLT.splits(
24 exts=('.de', '.en'), fields=(SRC, TGT),
---> 25 filter_pred=lambda x: len(vars(x)['src']) <= MAX_LEN and
26 len(vars(x)['trg']) <= MAX_LEN)
27 MIN_FREQ = 2
/usr/local/lib/python2.7/dist-packages/torchtext-0.2.1-py2.7.egg/torchtext/datasets/translation.py in splits(cls, exts, fields, root, train, validation, test, **kwargs)
136
137 if not os.path.exists(os.path.join(path, train) + exts[0]):
--> 138 cls.clean(path)
139
140 train_data = None if train is None else cls(
/usr/local/lib/python2.7/dist-packages/torchtext-0.2.1-py2.7.egg/torchtext/datasets/translation.py in clean(path)
156 for doc in root.findall('doc'):
157 for e in doc.findall('seg'):
--> 158 fd_txt.write(e.text.strip().decode("utf-8") + '\n')
159
160 xml_tags = ['<url', '<keywords', '<talkid', '<description',
/usr/lib/python2.7/encodings/utf_8.pyc in decode(input, errors)
14
15 def decode(input, errors='strict'):
---> 16 return codecs.utf_8_decode(input, errors, True)
17
18 class IncrementalEncoder(codecs.IncrementalEncoder):
UnicodeEncodeError: 'ascii' codec can't encode character u'\xe4' in position 60: ordinal not in range(128)
from annotated-transformer.
updating Torchtext to 0.2.3 from 0.2.1 resolve this error.
from annotated-transformer.
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from annotated-transformer.