Eval2 test

This commit is contained in:
Maciej Sobkowiak 2021-05-17 15:15:51 +02:00
parent 6d44bf146f
commit f28cbe8a28

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@ -3,6 +3,9 @@ import jsgf
import pandas as pd
import numpy as np
import os
from NaturalLanguageUnderstanding import NLU
nlu = NLU()
gramar = jsgf.parse_grammar_file('book.jsgf')
print(gramar)
@ -14,19 +17,18 @@ for f in os.listdir('data'):
dialog = pd.read_csv(f'data/{f}', sep='\t')
dialog = dialog.loc[dialog['Interlocutor'] == 'user']
# print(dialog)
for index, row in dialog.iterrows():
rows += 1
match = gramar.find_matching_rules(row['Text'])
if match:
matches += 1
print(match)
acts = row['Acts'].split('&')
print(acts)
else:
# print("not match")
pass
for act in acts:
print(rows)
print(matches)
frame = nlu.parse_user_input(row['Text'])
frame_act_name = frame.getActType().name.lower()
if frame_act_name in act.strip():
matches += 1
print("Rows processed: " + str(rows))
print("Accuracy: " + str(matches/rows*100))