i’m making sentiment analysis in Korean version.
But I got this error, “TypeError: ‘<’ not supported between instances of ‘Example’ and ‘Example’”
This is my abstract code :
import torch
from torchtext import data
from torchtext import datasets
from soynlp.tokenizer import MaxScoreTokenizer
SEED = 1234
torch.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
#When tokenizing, some text will be null
TEXT = data.Field(tokenize = tokenizer, preprocessing = generate_bigrams, stop_words = stop_words)
LABEL = data.LabelField(dtype = torch.float)
from torchtext.data import TabularDataset
fields = [(“text”, TEXT),(“label”, LABEL)]
train_data, test_data = data.TabularDataset.splits(
path = ‘’,
train = ‘train.csv’,
test = ‘train.csv’,
format = ‘csv’,
fields = fields,
skip_header = True
)
import torchtext
vec = torchtext.vocab.Vectors(‘wiki.ko.vec’, cache=’./Downloads/’)
TEXT.build_vocab(train_data,
max_size = MAX_VOCAB_SIZE,
vectors = vec,
unk_init = torch.Tensor.normal_)
LABEL.build_vocab(train_data)
BATCH_SIZE = 32
device = torch.device(‘cuda’ if torch.cuda.is_available() else ‘cpu’)
train_iterator, test_iterator = data.BucketIterator.splits(
(train_data, test_data),
batch_size = BATCH_SIZE,
device = device)
print(‘Train:’)
for batch in train_iterator:
print(batch)
print(‘Test:’)
for batch in test_iterator:
print(batch)
And then, I got the this error
Test:
TypeError                                 Traceback (most recent call last)
 in 
12
13 print(‘Test:’)
—> 14 for batch in test_iterator:
15     print(batch)
/anaconda3/lib/python3.7/site-packages/torchtext/data/iterator.py in iter(self)
140     def iter(self):
141         while True:
–> 142             self.init_epoch()
143             for idx, minibatch in enumerate(self.batches):
144                 # fast-forward if loaded from state
/anaconda3/lib/python3.7/site-packages/torchtext/data/iterator.py in init_epoch(self)
116             self._random_state_this_epoch = self.random_shuffler.random_state
117
–> 118         self.create_batches()
119
120         if self._restored_from_state:
/anaconda3/lib/python3.7/site-packages/torchtext/data/iterator.py in create_batches(self)
240     def create_batches(self):
241         if self.sort:
–> 242             self.batches = batch(self.data(), self.batch_size,
243                                  self.batch_size_fn)
244         else:
/anaconda3/lib/python3.7/site-packages/torchtext/data/iterator.py in data(self)
101         “”“Return the examples in the dataset in order, sorted, or shuffled.”""
102         if self.sort:
–> 103             xs = sorted(self.dataset, key=self.sort_key)
104         elif self.shuffle:
105             xs = [self.dataset[i] for i in self.random_shuffler(range(len(self.dataset)))]
TypeError: ‘<’ not supported between instances of ‘Example’ and ‘Example’
I don’t know why the error happend, even I set the same file in train and test for finding the reasons!!
Thank you in advance.