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# Convert .tsv file to dataturks json format. | |
import json | |
import logging | |
import sys | |
def tsv_to_json_format(input_path,output_path,unknown_label): | |
try: | |
f=open(input_path,'r') # input file | |
fp=open(output_path, 'w') # output file | |
data_dict={} | |
annotations =[] | |
label_dict={} | |
s='' | |
start=0 | |
for line in f: | |
if line[0:len(line)-1]!='.\tO': | |
word,entity=line.split('\t') | |
s+=word+" " | |
entity=entity[:len(entity)-1] | |
if entity!=unknown_label: | |
if len(entity) != 1: | |
d={} | |
d['text']=word | |
d['start']=start | |
d['end']=start+len(word)-1 | |
try: | |
label_dict[entity].append(d) | |
except: | |
label_dict[entity]=[] | |
label_dict[entity].append(d) | |
start+=len(word)+1 | |
else: | |
data_dict['content']=s | |
s='' | |
label_list=[] | |
for ents in list(label_dict.keys()): | |
for i in range(len(label_dict[ents])): | |
if(label_dict[ents][i]['text']!=''): | |
l=[ents,label_dict[ents][i]] | |
for j in range(i+1,len(label_dict[ents])): | |
if(label_dict[ents][i]['text']==label_dict[ents][j]['text']): | |
di={} | |
di['start']=label_dict[ents][j]['start'] | |
di['end']=label_dict[ents][j]['end'] | |
di['text']=label_dict[ents][i]['text'] | |
l.append(di) | |
label_dict[ents][j]['text']='' | |
label_list.append(l) | |
for entities in label_list: | |
label={} | |
label['label']=[entities[0]] | |
label['points']=entities[1:] | |
annotations.append(label) | |
data_dict['annotation']=annotations | |
annotations=[] | |
json.dump(data_dict, fp) | |
fp.write('\n') | |
data_dict={} | |
start=0 | |
label_dict={} | |
except Exception as e: | |
logging.exception("Unable to process file" + "\n" + "error = " + str(e)) | |
return None | |
tsv_to_json_format("Data/ner_corpus_260.tsv",'Data/ner_corpus_260.json','abc') |
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def csv_to_json_format(input_path, output_path):