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Source code for torchtext.datasets.dbpedia

from torchtext.utils import download_from_url, extract_archive, unicode_csv_reader
from torchtext.data.datasets_utils import _RawTextIterableDataset
from torchtext.data.datasets_utils import _wrap_split_argument
from torchtext.data.datasets_utils import _add_docstring_header
from torchtext.data.datasets_utils import _find_match
import os
import io

URL = 'https://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbQ2Vic1kxMmZZQ1k'

MD5 = 'dca7b1ae12b1091090db52aa7ec5ca64'

NUM_LINES = {
    'train': 560000,
    'test': 70000,
}

_PATH = 'dbpedia_csv.tar.gz'


[docs]@_add_docstring_header(num_lines=NUM_LINES, num_classes=14) @_wrap_split_argument(('train', 'test')) def DBpedia(root, split): def _create_data_from_csv(data_path): with io.open(data_path, encoding="utf8") as f: reader = unicode_csv_reader(f) for row in reader: yield int(row[0]), ' '.join(row[1:]) dataset_tar = download_from_url(URL, root=root, path=os.path.join(root, _PATH), hash_value=MD5, hash_type='md5') extracted_files = extract_archive(dataset_tar) path = _find_match(split + '.csv', extracted_files) return _RawTextIterableDataset("DBpedia", NUM_LINES[split], _create_data_from_csv(path))

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