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import torch
from datasets import load_dataset
from transformers import BertTokenizer
#定义数据集
class Dataset(torch.utils.data.Dataset):
def __init__(self, split):
dataset = load_dataset(path='seamew/ChnSentiCorp', split=split)
def f(data):
return len(data['text']) > 30
self.dataset = dataset.filter(f)
def __len__(self):
return len(self.dataset)
def __getitem__(self, i):
text = self.dataset[i]['text']
return text
if __name__ == '__main__':
dataset = Dataset('train')
print(len(dataset), dataset[0])
tokenizer = BertTokenizer.from_pretrained('bert-base-chinese')
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