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preprocessing.py
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preprocessing.py
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root='data/'
paths=[
'train.json',
'dev.json',
'test.json'
]
for file_path in paths:
result=[]
with open(root+file_path, 'r', encoding='UTF-8') as f:
data = json.load(f)
for d in data:
item=dict()
id=d['id']
triggers=d['events']
sentences=d['content']
set_ids=set()
for idx,sentence in enumerate(sentences):
for event in triggers:
e_sent_id=event['sent_id']
if e_sent_id==idx:
set_ids.add(idx)
trigger = {'text': event['trigger_word'],
'start': event['offset'][0],
'end': event['offset'][1],
'event_type': event['type']}
if idx not in item:
item[idx]= dict()
item[idx]['id'] = id
item[idx]['sentence']=sentence
item[idx]['trigger']=[]
item[idx]['trigger'].append(trigger)
for idx,sentence in enumerate(sentences):
if idx in set_ids:
result.append(item[idx])
else:
result.append({'id':id,'sentence':sentence,'trigger':[]})
output_file=root+file_path[:file_path.index('.')]+'_sentence.json'
with open(output_file,"w") as f:
f.write(json.dumps(result,indent=4, ensure_ascii=False))