{“text”: “产后抑郁症@区分产后抑郁症与轻度情绪失调(产后忧郁或“婴儿忧郁”)是重要的,因为轻度情绪失调不需要治疗。”, “spo_list”: [{“Combined”: false, “predicate”: “鉴别诊断”, “subject”: “产后抑郁症”, “subject_type”: “疾病”, “object”: {"@value": “轻度情绪失调”}, “object_type”: {"@value": “疾病”}}]}
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详情请见:https://www.jianshu.com/p/bb90bff9f6e5
import json
import re
import torch
from torch.utils.data import Dataset,DataLoader
from torch.nn.utils.rnn import pad_sequence,pack_padded_sequence
from transformers import BertTokenizer
from random import choice
import codecs
device = 'cpu'
class MyDataset(Dataset):
def __get_train_data(self,path):
with open(path,'r',encoding = 'utf-8') as f:
data = f.readlines()
res = [json.loads(i) for i in data]
return res
def __get_test_data(self,path):
with open(path,'r',encoding = 'utf-8') as f:
data = f.readlines()
data = [json.loads(i) for i in data]
res = []
for entry in data:
entry['spo_list'] = []
res.append(entry)
return res
def __init__(self,path,config):
super(MyDataset,self).__init__()
self.config = config
if self.config['mode'] == 'train':
self.data = self.__get_train_data(path)
elif self.config['mode'] == 'test':
self.data = self.__get_test_data(path)
with open('data/relation2idx.json','r',encoding = 'utf-8') as f:
self.relation2idx = json.load(f)
self.idx2relation = dict()
for key in self.relation2idx:
self.idx2relation[self.relation2idx[key]] = key
model_name = 'bert-base-chinese'
self.tokenizer = BertTokenizer.from_pretrained(model_name)
def __len__(self):
return len(self.data)
def __getitem__(self,item):
text,gold = self.data[item]['text'],self.data[item]['spo_list']
text = text if len(text) <= 512 else text[:512]
sample = list(text)
sample = self.tokenizer.convert_tokens_to_ids(sample)
sub_start = len(sample)*[0]
sub_end = len(sample)*[0]
relation_start = [[0 for _ in range(self.config['relation_types'])] for _ in range(len(sample))]
relation_end = [[0 for _ in range(self.config['relation_types'])] for _ in range(len(sample))]
sub_start_single = len(sample) * [0]
sub_end_single = len(sample) * [0]
s2ro_map = {}
for entry in gold:
sub = entry['subject']
obj = entry['object']['@value']
relation = entry['predicate']
try:
sub_pos = re.search(sub,text).span()
obj_pos = re.search(obj,text).span()
relation_idx = self.relation2idx[relation]
sub_start[sub_pos[0]] = 1
sub_end[sub_pos[1] - 1] = 1
if sub_pos not in s2ro_map:
s2ro_map[sub_pos] = []
s2ro_map[sub_pos].append((obj_pos,relation_idx))
except:
pass
if s2ro_map:
sub_pos = choice(list(s2ro_map.keys()))
sub_start_single[sub_pos[0]] = 1
sub_end_single[sub_pos[1] - 1] = 1
for obj_pos,relation_idx in s2ro_map.get(sub_pos,[]):
relation_start[obj_pos[0]][relation_idx] = 1
relation_end[obj_pos[1]-1][relation_idx] = 1
return sample,sub_start,sub_end,relation_start,relation_end,sub_start_single,sub_end_single
def collate_fn(data):
data.sort(key = lambda x:len(x[0]),reverse = True)
sample,sub_start,sub_end,relation_start,relation_end,sub_start_single,sub_end_single = zip(*data)
mask = [[1 if j < len(i) else 0 for j in range(len(sample[0]))] for i in sample]
sample = [torch.tensor(i).long().to(device) for i in sample]
sub_start = [torch.tensor(i).long().to(device) for i in sub_start]
sub_end = [torch.tensor(i).long().to(device) for i in sub_end]
relation_start = [torch.tensor(i).long().to(device) for i in relation_start]
relation_end = [torch.tensor(i).long().to(device) for i in relation_end]
sub_start_single = [torch.tensor(i).long().to(device) for i in sub_start_single]
sub_end_single = [torch.tensor(i).long().to(device) for i in sub_end_single]
mask = torch.tensor(mask).long().to(device)
sample = pad_sequence(sample,batch_first = True,padding_value = 0)
sub_start = pad_sequence(sub_start,batch_first = True,padding_value = 0)
sub_end = pad_sequence(sub_start,batch_first = True,padding_value = 0)
relation_start = pad_sequence(relation_start,batch_first = True,padding_value = 0)
relation_end = pad_sequence(relation_end,batch_first = True,padding_value = 0)
sub_start_single = pad_sequence(sub_start_single,batch_first = True,padding_value = 0)
sub_end_single = pad_sequence(sub_end_single,batch_first = True,padding_value = 0)
return sample,sub_start,sub_end,relation_start,relation_end,mask,sub_start_single,sub_end_single