SanDP / examples /VST_macro_score.py
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import sys
def load_results(filename):
results = []
sent = []
with open(filename, 'r') as fp:
for i, line in enumerate(fp):
if i == 0:
continue
splits = line.strip().split('\t')
if len(line.strip()) == 0:
if len(sent) != 0:
results.append(sent)
sent = []
continue
gold_head = splits[-4]
gold_label = splits[-3]
pred_head = splits[-2]
pred_label = splits[-1]
sent.append((gold_head, gold_label, pred_head, pred_label))
print('Total Number of sentences ' + str(len(results)))
return results
def calculate_las_uas(gold_heads, gold_labels, pred_heads, pred_labels):
u_correct = 0
l_correct = 0
u_total = 0
l_total = 0
for i in range(len(gold_heads)):
if gold_heads[i] == pred_heads[i]:
u_correct +=1
u_total +=1
l_total +=1
if gold_heads[i] == pred_heads[i] and gold_labels[i] == pred_labels[i]:
l_correct +=1
return u_correct, u_total, l_correct, l_total
def calculate_stats(results,path):
u_correct = 0
l_correct = 0
u_total = 0
l_total = 0
sent_uas = []
sent_las = []
for i in range(len(results)):
gold_heads, gold_labels, pred_heads, pred_labels = zip(*results[i])
u_c, u_t, l_c, l_t = calculate_las_uas(gold_heads, gold_labels, pred_heads, pred_labels)
if u_t >0:
uas = float(u_c)/u_t
las = float(l_c)/l_t
sent_uas.append(uas)
sent_las.append(las)
u_correct += u_c
l_correct += l_c
u_total += u_t
l_total += l_t
UAS = float(u_correct)/u_total
LAS = float(l_correct)/l_total
path = path.replace('VST_test.txt','Macro-UAS-LAS-score.txt')
f = open(path,'w')
f.write('Word level UAS : ' + str(UAS) +'\n')
f.write('Word level LAS : ' + str(LAS)+'\n')
f.write('Sentence level UAS : ' + str(float(sum(sent_uas))/len(sent_uas))+'\n')
f.write('Sentence level LAS : ' + str(float(sum(sent_las))/len(sent_las))+'\n')
f.close()
print('Word level UAS : ' + str(UAS))
print('Word level LAS : ' + str(LAS))
print('Sentence level UAS : ' + str(float(sum(sent_uas))/len(sent_uas)))
print('Sentence level LAS : ' + str(float(sum(sent_las))/len(sent_las)))
return sent_uas, sent_las, UAS, LAS
def write_results(sent_uas, sent_las, filename_uas, filename_las):
fp_uas = open(filename_uas, 'w')
fp_las = open(filename_las, 'w')
for i in range(len(sent_uas)):
fp_uas.write(str(sent_uas[i]) + '\n')
fp_las.write(str(sent_las[i]) + '\n')
fp_uas.close()
fp_las.close()
if __name__=="__main__":
dirs = sys.argv[1]
# results_2 = load_results(sys.argv[2])
##path = "Predictions/Yap/"+dirs
path = "./saved_models/"+dirs+"/final_ensembled_TranSeq/VST_test.txt"
result = load_results(path)
sent_uas1, sent_las1, UAS1, LAS1 = calculate_stats(result,path)
# sent_uas2, sent_las2, UAS2, LAS2 = calculate_stats(results_2)
write_results(sent_uas1, sent_las1, 'results1_uas.txt', 'results1_las.txt')
# write_results(sent_uas2, sent_las2, 'results2_uas.txt', 'results2_las.txt')