Source code for torchtext.datasets.udpos
from torchtext.utils import download_from_url, extract_archive
from torchtext.data.datasets_utils import (
_RawTextIterableDataset,
_wrap_split_argument,
_add_docstring_header,
_find_match,
_create_dataset_directory,
_create_data_from_iob,
)
URL = 'https://bitbucket.org/sivareddyg/public/downloads/en-ud-v2.zip'
MD5 = 'bdcac7c52d934656bae1699541424545'
NUM_LINES = {
'train': 12543,
'valid': 2002,
'test': 2077,
}
DATASET_NAME = "UDPOS"
[docs]@_add_docstring_header(num_lines=NUM_LINES)
@_create_dataset_directory(dataset_name=DATASET_NAME)
@_wrap_split_argument(('train', 'valid', 'test'))
def UDPOS(root, split):
dataset_tar = download_from_url(URL, root=root, hash_value=MD5, hash_type='md5')
extracted_files = extract_archive(dataset_tar)
if split == 'valid':
path = _find_match("dev.txt", extracted_files)
else:
path = _find_match(split + ".txt", extracted_files)
return _RawTextIterableDataset(DATASET_NAME, NUM_LINES[split],
_create_data_from_iob(path))