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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))

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