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Source code for torchtext.datasets.yelpreviewpolarity

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_Dbh9QhbNUpYQ2N3SGlFaDg'

MD5 = '620c8ae4bd5a150b730f1ba9a7c6a4d3'

NUM_LINES = {
    'train': 560000,
    'test': 38000,
}

_PATH = 'yelp_review_polarity_csv.tar.gz'


[docs]@_add_docstring_header(num_lines=NUM_LINES, num_classes=2) @_wrap_split_argument(('train', 'test')) def YelpReviewPolarity(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("YelpReviewPolarity", NUM_LINES[split], _create_data_from_csv(path))

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