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dataloader.py
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dataloader.py
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import torch
from pytorch_pretrained_bert import BertTokenizer, BertModel
from torch.utils.data import Dataset
import pandas as pd
import sys
import util
class TweetsDataset(Dataset):
def __init__(self, data, tokenizer, length_limit):
self.data = data
self.tokenizer = tokenizer
self.max_seq_length = length_limit
def __len__(self):
return len(self.data)
def __getitem__(self, index):
'''
:param index:
:return:
token_ids: index of tokens
input_mask:
label: GT label
'''
entry = self.data.iloc[index]
label = torch.tensor(entry['tag'], dtype=torch.long)
tweet = str(entry['cleaned_tweet'])
ids, mask = util.convert_to_bert_ids(tweet, self.tokenizer, self.max_seq_length)
return ids, mask, label