OverflowError: Python int too large to convert to C long torchtext.datasets.text_classification.DATASETS['AG_NEWS']()
I have 64 bit windows 10 OS
I have installed python 3.6.8
I have installed torch and torchtext using pip.
torch version is 1.2.0

I am trying to load AG_NEWS dataset using below code:

import torch
import torchtext
from torchtext.datasets import text_classification
NGRAMS = 2
import os
if not os.path.isdir('./.data'):
    os.mkdir('./.data')
train_dataset, test_dataset = text_classification.DATASETS['AG_NEWS'](root='./.data', ngrams=NGRAMS, vocab=None)


On the last statement of above code, I am getting below error:

---------------------------------------------------------------------------
OverflowError                             Traceback (most recent call last)
&lt;ipython-input-1-7e8544fdaaf6&gt; in &lt;module&gt;
      6 if not os.path.isdir('./.data'):
      7     os.mkdir('./.data')
----&gt; 8 train_dataset, test_dataset = text_classification.DATASETS['AG_NEWS'](root='./.data', ngrams=NGRAMS, vocab=None)
      9 # BATCH_SIZE = 16
     10 # device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

c:\users\pramodp\appdata\local\programs\python\python36\lib\site-packages\torchtext\datasets\text_classification.py in AG_NEWS(*args, **kwargs)
    168     """
    169 
--&gt; 170     return _setup_datasets(*(("AG_NEWS",) + args), **kwargs)
    171 
    172 

c:\users\pramodp\appdata\local\programs\python\python36\lib\site-packages\torchtext\datasets\text_classification.py in _setup_datasets(dataset_name, root, ngrams, vocab, include_unk)
    126     if vocab is None:
    127         logging.info('Building Vocab based on {}'.format(train_csv_path))
--&gt; 128         vocab = build_vocab_from_iterator(_csv_iterator(train_csv_path, ngrams))
    129     else:
    130         if not isinstance(vocab, Vocab):

c:\users\pramodp\appdata\local\programs\python\python36\lib\site-packages\torchtext\vocab.py in build_vocab_from_iterator(iterator)
    555     counter = Counter()
    556     with tqdm(unit_scale=0, unit='lines') as t:
--&gt; 557         for tokens in iterator:
    558             counter.update(tokens)
    559             t.update(1)

c:\users\pramodp\appdata\local\programs\python\python36\lib\site-packages\torchtext\datasets\text_classification.py in _csv_iterator(data_path, ngrams, yield_cls)
     33     with io.open(data_path, encoding="utf8") as f:
     34         reader = unicode_csv_reader(f)
---&gt; 35         for row in reader:
     36             tokens = ' '.join(row[1:])
     37             tokens = tokenizer(tokens)

c:\users\pramodp\appdata\local\programs\python\python36\lib\site-packages\torchtext\utils.py in unicode_csv_reader(unicode_csv_data, **kwargs)
    128             maxInt = int(maxInt / 10)
    129 
--&gt; 130     csv.field_size_limit(sys.maxsize)
    131 
    132     if six.PY2:

OverflowError: Python int too large to convert to C long


I think the issue is with either windows os or torchtext because I am getting same error for below code as well.

pos = data.TabularDataset( path='data/pos/pos_wsj_train.tsv', format='tsv', fields=[('text', data.Field()),
        ('labels', data.Field())])


Can somebody please help? and mainly I don't have any large numerical values in the file.

I also encountered a similar problem. I changed a line of code in my torchtext\utils.py file and my error disappeared.
Changed this:
csv.field_size_limit(sys.maxsize)

To this:
csv.field_size_limit(maxInt)

