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Point text_classification.DATASETS to local functions #775

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May 15, 2020
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Point text_classification.DATASETS to local functions #775

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22 changes: 11 additions & 11 deletions torchtext/experimental/datasets/text_classification.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
import torch
from torchtext.data.utils import get_tokenizer
from torchtext.vocab import build_vocab_from_iterator
from torchtext.experimental.datasets import raw
from torchtext.experimental.datasets.raw import text_classification as raw


def vocab_func(vocab):
Expand Down Expand Up @@ -98,7 +98,7 @@ def _setup_datasets(dataset_name, root='.data', ngrams=1, vocab=None,
data_select = [data_select]
if not set(data_select).issubset(set(('train', 'test'))):
raise TypeError('Given data selection {} is not supported!'.format(data_select))
train, test = DATASETS[dataset_name](root=root)
train, test = raw.DATASETS[dataset_name](root=root)
# Cache raw text iterable dataset
raw_data = {'train': [(label, txt) for (label, txt) in train],
'test': [(label, txt) for (label, txt) in test]}
Expand Down Expand Up @@ -509,15 +509,15 @@ def IMDB(*args, **kwargs):


DATASETS = {
'AG_NEWS': raw.AG_NEWS,
'SogouNews': raw.SogouNews,
'DBpedia': raw.DBpedia,
'YelpReviewPolarity': raw.YelpReviewPolarity,
'YelpReviewFull': raw.YelpReviewFull,
'YahooAnswers': raw.YahooAnswers,
'AmazonReviewPolarity': raw.AmazonReviewPolarity,
'AmazonReviewFull': raw.AmazonReviewFull,
'IMDB': raw.IMDB
'AG_NEWS': AG_NEWS,
'SogouNews': SogouNews,
'DBpedia': DBpedia,
'YelpReviewPolarity': YelpReviewPolarity,
'YelpReviewFull': YelpReviewFull,
'YahooAnswers': YahooAnswers,
'AmazonReviewPolarity': AmazonReviewPolarity,
'AmazonReviewFull': AmazonReviewFull,
'IMDB': IMDB
}


Expand Down