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data_utils.py
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data_utils.py
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from torch.utils import data
import pandas as pd
import os
import torch
from torch.utils.data import Dataset, DataLoader
langs = ['english', 'danish', 'turkish', 'arabic', 'greek']
dataroot = '/content/drive/MyDrive/data/'
class OLID(Dataset):
def __init__(self, dataroot, mode='train', lang='english'):
if lang not in langs:
print(f'language {lang} not supported. Supported {",".join(langs)}')
exit()
self.dataroot = dataroot
self.mode = mode
self.lang = lang
self.sents = {}
if self.mode == 'train':
tsv_anno = os.path.join(self.dataroot, lang, 'train.tsv')
self.df = pd.read_csv(tsv_anno, sep='\t')
else: # mode == test
tsv_anno = os.path.join(self.dataroot, lang, 'test.tsv')
self.df = pd.read_csv(tsv_anno, sep='\t')
def __len__(self):
return self.df.shape[0]
def __getitem__(self, idx):
row = self.df.iloc[idx]
input = row['tweet']
label = row['subtask_a']
if label == 'OFF':
label = 1
else:
label = 0
return {'input' : input, 'label' : label}
# dataset = OLID(dataroot, 'train', 'english')
# trainDataloader = DataLoader(dataset, batch_size=64, shuffle=True)
# dataset = OLID(dataroot, 'test', 'english')
# testDataloader = DataLoader(dataset, batch_size=64, shuffle=True)
# for idx, item in enumerate(trainDataloader):
# inputs = item['input']
# labels = item['label']
# print('inputs:',inputs)
# print('labels:',labels)
# break