redid NLU task files upload

This commit is contained in:
Kacper Dudzic 2022-05-02 21:00:28 +02:00
parent c25548d9ea
commit 4de73a4a11
11 changed files with 2324 additions and 10871 deletions

View File

@ -4,6 +4,10 @@ import pandas as pd
from nltk.tokenize import word_tokenize
import re
import random
import nltk
#nltk.download('punkt')
class LineContent:
@ -58,9 +62,11 @@ def process_file(file):
if email:
email_address = email.group()
text = text.replace(email_address, '@')
text = text.replace("'", "")
tokens = word_tokenize(text)
tokens = [token.replace('@', email_address) for token in tokens]
else:
text = text.replace("'", "")
tokens = word_tokenize(text)
return tokens
text_tokens = tokenize(text)

View File

@ -38,9 +38,9 @@ def predict(model, sentence):
return [(token, ftoken.get_tag('slot').value) for token, ftoken in zip(sentence, fsentence)]
with open('train-pl-full.conllu', encoding='utf-8') as trainfile:
with open('train-pl.conllu', encoding='utf-8') as trainfile:
trainset = list(parse_incr(trainfile, fields=fields, field_parsers={'slot': nolabel2o}))
with open('test-pl-full.conllu', encoding='utf-8') as testfile:
with open('test-pl.conllu', encoding='utf-8') as testfile:
testset = list(parse_incr(testfile, fields=fields, field_parsers={'slot': nolabel2o}))
random.seed(42)
@ -69,14 +69,14 @@ tagger = SequenceTagger(hidden_size=256, embeddings=embeddings,
tag_dictionary=tag_dictionary,
tag_type='slot', use_crf=True)
"""
trainer = ModelTrainer(tagger, corpus)
trainer.train('slot-model-pl',
learning_rate=0.1,
mini_batch_size=32,
max_epochs=10,
train_with_dev=True)
"""
try:
model = SequenceTagger.load('slot-model-pl/best-model.pt')
except:

View File

@ -1,166 +0,0 @@
poproszę O O
listę B-goal O
filmów I-goal O
granych O O
jutro B-date B-date
wieczorem B-interval I-date
wagon O O
z O O
przedziałami O O
miejsce O O
przy O O
oknie O O
23032022 O O
o B-goal B-goal
której I-goal I-goal
jest O O
na B-title B-title
noże I-title I-title
a O O
jakie O B-goal
są O I-goal
proszę O O
o O O
godzine O B-goal
20:19 B-time I-goal
a O O
jakie O B-goal
są O I-goal
dostępne O I-goal
ok O O
o O B-goal
jakich O I-goal
godzinach O I-goal
grają O O
te O O
filmy O O
wszystkie O O
dziękuję O O
witam O O
jakie B-goal B-goal
filmy I-goal I-goal
są I-goal I-goal
teraz O I-goal
w O O
kinach O O
wybieram O O
godzine O B-date
12:00 B-time I-date
29032022 O O
halo O O
halo O O
123123 O O
podaj O O
więcej O O
informacji O O
o O O
seansach O O
ok O O
z B-area B-area
tyłu I-area I-area
sali I-area O
nie I-area O
na I-area B-area
samym I-area I-area
końcu I-area I-area
na B-area B-area
środku I-area I-area
do O O
widzenia O O
a O O
z B-area B-area
przodu I-area I-area
gdzieś O O
dzień O O
dobry O O
jeden B-quantity B-quantity
normalny I-quantity O
i I-quantity O
ulgowy I-quantity O
witam O O
dzień O O
dobry O O
czy O O
sš O O
wcześniejsze B-goal B-goal
seanse I-goal I-goal
kim O O
jest O O
senior O O
3 B-quantity B-quantity
dzień O O
dobry O O
co B-goal O
można I-goal O
obejrzeć I-goal O
w O B-date
kwietniu B-interval I-date
tak O O
no O O
to O O
jakoś O O
niech O O
będzie O O
jakoś O O
to B-title O
będzie I-title O
wybieram O O
na B-title B-title
noże I-title I-title
o B-time B-time
09:30 I-time B-time
idę O O
na O O
drugą B-time B-time
na O O
batmana B-title B-title
trzy B-quantity B-quantity
bileciki O O
na B-time B-time
19:00 I-time B-time
na O O
batmana B-title B-title
na B-area B-area
środku I-area I-area
co O O
leci O O
w B-date B-date
poniedziałek I-date I-date
1 poproszę O O
2 listę B-goal O
3 filmów I-goal O
4 granych O O
5 jutro B-date B-date
6 wieczorem B-interval I-date
7 wagon O O
8 z O O
9 przedziałami O O
10 miejsce O O
11 przy O O
12 oknie O O
13 23032022 O O
14 o B-goal B-goal
15 której I-goal I-goal
16 jest O O
17 na B-title B-title
18 noże I-title I-title
19 a O O
20 jakie O B-goal
21 są O I-goal
22 proszę O O
23 o O O
24 godzine O B-goal
25 20:19 B-time I-goal
26 a O O
27 jakie O B-goal
28 są O I-goal
29 dostępne O I-goal
30 ok O O
31 o O B-goal
32 jakich O I-goal
33 godzinach O I-goal
34 grają O O
35 te O O
36 filmy O O
37 wszystkie O O
38 dziękuję O O
39 witam O O
40 jakie B-goal B-goal
41 filmy I-goal I-goal
42 są I-goal I-goal
43 teraz O I-goal
44 w O O
45 kinach O O
46 wybieram O O
47 godzine O B-date
48 12:00 B-time I-date
49 29032022 O O
50 halo O O
51 halo O O
52 123123 O O
53 podaj O O
54 więcej O O
55 informacji O O
56 o O O
57 seansach O O
58 ok O O
59 z B-area B-area
60 tyłu I-area I-area
61 sali I-area O
62 nie I-area O
63 na I-area B-area
64 samym I-area I-area
65 końcu I-area I-area
66 na B-area B-area
67 środku I-area I-area
68 do O O
69 widzenia O O
70 a O O
71 z B-area B-area
72 przodu I-area I-area
73 gdzieś O O
74 dzień O O
75 dobry O O
76 jeden B-quantity B-quantity
77 normalny I-quantity O
78 i I-quantity O
79 ulgowy I-quantity O
80 witam O O
81 dzień O O
82 dobry O O
83 czy O O
84 sš O O
85 wcześniejsze B-goal B-goal
86 seanse I-goal I-goal
87 kim O O
88 jest O O
89 senior O O
90 3 B-quantity B-quantity
91 dzień O O
92 dobry O O
93 co B-goal O
94 można I-goal O
95 obejrzeć I-goal O
96 w O B-date
97 kwietniu B-interval I-date
98 tak O O
99 no O O
100 to O O
101 jakoś O O
102 niech O O
103 będzie O O
104 jakoś O O
105 to B-title O
106 będzie I-title O
107 wybieram O O
108 na B-title B-title
109 noże I-title I-title
110 o B-time B-time
111 09:30 I-time B-time
112 idę O O
113 na O O
114 drugą B-time B-time
115 na O O
116 batmana B-title B-title
117 trzy B-quantity B-quantity
118 bileciki O O
119 na B-time B-time
120 19:00 I-time B-time
121 na O O
122 batmana B-title B-title
123 na B-area B-area
124 środku I-area I-area
125 co O O
126 leci O O
127 w B-date B-date
128 poniedziałek I-date I-date

View File

@ -1,11 +0,0 @@
EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
1 15:45:49 0 0.1000 1.107883760221383
2 15:46:06 0 0.1000 0.724391172370514
3 15:46:23 0 0.1000 0.6198507147675428
4 15:46:42 0 0.1000 0.5637349612763847
5 15:46:58 0 0.1000 0.48588470330256117
6 15:47:14 0 0.1000 0.4225153886549188
7 15:47:30 0 0.1000 0.38841035381494515
8 15:47:45 0 0.1000 0.3469537376117912
9 15:48:00 0 0.1000 0.30912264277005586
10 15:48:16 1 0.1000 0.31141101694209966
1 EPOCH TIMESTAMP BAD_EPOCHS LEARNING_RATE TRAIN_LOSS
2 1 15:45:49 0 0.1000 1.107883760221383
3 2 15:46:06 0 0.1000 0.724391172370514
4 3 15:46:23 0 0.1000 0.6198507147675428
5 4 15:46:42 0 0.1000 0.5637349612763847
6 5 15:46:58 0 0.1000 0.48588470330256117
7 6 15:47:14 0 0.1000 0.4225153886549188
8 7 15:47:30 0 0.1000 0.38841035381494515
9 8 15:47:45 0 0.1000 0.3469537376117912
10 9 15:48:00 0 0.1000 0.30912264277005586
11 10 15:48:16 1 0.1000 0.31141101694209966

File diff suppressed because it is too large Load Diff

View File

@ -1,261 +0,0 @@
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Model: "SequenceTagger(
(embeddings): StackedEmbeddings(
(list_embedding_0): WordEmbeddings('pl')
(list_embedding_1): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(1602, 100)
(rnn): LSTM(100, 2048)
(decoder): Linear(in_features=2048, out_features=1602, bias=True)
)
)
(list_embedding_2): FlairEmbeddings(
(lm): LanguageModel(
(drop): Dropout(p=0.25, inplace=False)
(encoder): Embedding(1602, 100)
(rnn): LSTM(100, 2048)
(decoder): Linear(in_features=2048, out_features=1602, bias=True)
)
)
(list_embedding_3): CharacterEmbeddings(
(char_embedding): Embedding(275, 25)
(char_rnn): LSTM(25, 25, bidirectional=True)
)
)
(word_dropout): WordDropout(p=0.05)
(locked_dropout): LockedDropout(p=0.5)
(embedding2nn): Linear(in_features=4446, out_features=4446, bias=True)
(rnn): LSTM(4446, 256, batch_first=True, bidirectional=True)
(linear): Linear(in_features=512, out_features=50, bias=True)
(beta): 1.0
(weights): None
(weight_tensor) None
)"
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Corpus: "Corpus: 735 train + 82 dev + 152 test sentences"
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Parameters:
2022-05-02 15:44:09,185 - learning_rate: "0.1"
2022-05-02 15:44:09,185 - mini_batch_size: "32"
2022-05-02 15:44:09,185 - patience: "3"
2022-05-02 15:44:09,185 - anneal_factor: "0.5"
2022-05-02 15:44:09,185 - max_epochs: "10"
2022-05-02 15:44:09,185 - shuffle: "True"
2022-05-02 15:44:09,185 - train_with_dev: "True"
2022-05-02 15:44:09,185 - batch_growth_annealing: "False"
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Model training base path: "slot-model-pl"
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Device: cpu
2022-05-02 15:44:09,185 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:09,185 Embeddings storage mode: cpu
2022-05-02 15:44:09,212 ----------------------------------------------------------------------------------------------------
2022-05-02 15:44:12,896 epoch 1 - iter 2/26 - loss 5.40706334 - samples/sec: 17.37 - lr: 0.100000
2022-05-02 15:44:17,195 epoch 1 - iter 4/26 - loss 4.38706093 - samples/sec: 14.89 - lr: 0.100000
2022-05-02 15:44:20,984 epoch 1 - iter 6/26 - loss 3.63759864 - samples/sec: 16.90 - lr: 0.100000
2022-05-02 15:44:25,378 epoch 1 - iter 8/26 - loss 3.26681995 - samples/sec: 14.57 - lr: 0.100000
2022-05-02 15:44:29,757 epoch 1 - iter 10/26 - loss 3.05881263 - samples/sec: 14.62 - lr: 0.100000
2022-05-02 15:44:40,091 epoch 1 - iter 12/26 - loss 2.53006141 - samples/sec: 6.19 - lr: 0.100000
2022-05-02 15:44:52,707 epoch 1 - iter 14/26 - loss 1.93704781 - samples/sec: 5.07 - lr: 0.100000
2022-05-02 15:45:02,080 epoch 1 - iter 16/26 - loss 1.63138431 - samples/sec: 6.83 - lr: 0.100000
2022-05-02 15:45:14,009 epoch 1 - iter 18/26 - loss 1.40000228 - samples/sec: 5.37 - lr: 0.100000
2022-05-02 15:45:23,287 epoch 1 - iter 20/26 - loss 1.23378287 - samples/sec: 6.90 - lr: 0.100000
2022-05-02 15:45:34,691 epoch 1 - iter 22/26 - loss 1.12719827 - samples/sec: 5.61 - lr: 0.100000
2022-05-02 15:45:40,330 epoch 1 - iter 24/26 - loss 1.13188836 - samples/sec: 11.35 - lr: 0.100000
2022-05-02 15:45:49,236 epoch 1 - iter 26/26 - loss 1.10788376 - samples/sec: 7.19 - lr: 0.100000
2022-05-02 15:45:49,236 ----------------------------------------------------------------------------------------------------
2022-05-02 15:45:49,236 EPOCH 1 done: loss 1.1079 - lr 0.1000000
2022-05-02 15:45:49,236 BAD EPOCHS (no improvement): 0
2022-05-02 15:45:49,237 ----------------------------------------------------------------------------------------------------
2022-05-02 15:45:50,285 epoch 2 - iter 2/26 - loss 1.25997738 - samples/sec: 61.30 - lr: 0.100000
2022-05-02 15:45:51,915 epoch 2 - iter 4/26 - loss 0.91321364 - samples/sec: 39.27 - lr: 0.100000
2022-05-02 15:45:53,048 epoch 2 - iter 6/26 - loss 0.97971206 - samples/sec: 56.50 - lr: 0.100000
2022-05-02 15:45:54,340 epoch 2 - iter 8/26 - loss 0.87838664 - samples/sec: 49.56 - lr: 0.100000
2022-05-02 15:45:55,485 epoch 2 - iter 10/26 - loss 0.86177694 - samples/sec: 55.90 - lr: 0.100000
2022-05-02 15:45:56,488 epoch 2 - iter 12/26 - loss 0.81463133 - samples/sec: 63.85 - lr: 0.100000
2022-05-02 15:45:57,918 epoch 2 - iter 14/26 - loss 0.76334644 - samples/sec: 44.79 - lr: 0.100000
2022-05-02 15:45:59,393 epoch 2 - iter 16/26 - loss 0.78542696 - samples/sec: 43.41 - lr: 0.100000
2022-05-02 15:46:00,673 epoch 2 - iter 18/26 - loss 0.74084630 - samples/sec: 49.99 - lr: 0.100000
2022-05-02 15:46:02,245 epoch 2 - iter 20/26 - loss 0.71586100 - samples/sec: 40.74 - lr: 0.100000
2022-05-02 15:46:04,051 epoch 2 - iter 22/26 - loss 0.71469797 - samples/sec: 35.45 - lr: 0.100000
2022-05-02 15:46:05,132 epoch 2 - iter 24/26 - loss 0.71315625 - samples/sec: 59.21 - lr: 0.100000
2022-05-02 15:46:06,356 epoch 2 - iter 26/26 - loss 0.72439117 - samples/sec: 52.36 - lr: 0.100000
2022-05-02 15:46:06,356 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:06,356 EPOCH 2 done: loss 0.7244 - lr 0.1000000
2022-05-02 15:46:06,356 BAD EPOCHS (no improvement): 0
2022-05-02 15:46:06,356 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:07,363 epoch 3 - iter 2/26 - loss 0.93262965 - samples/sec: 63.62 - lr: 0.100000
2022-05-02 15:46:08,805 epoch 3 - iter 4/26 - loss 0.66342690 - samples/sec: 44.41 - lr: 0.100000
2022-05-02 15:46:10,199 epoch 3 - iter 6/26 - loss 0.69693404 - samples/sec: 45.93 - lr: 0.100000
2022-05-02 15:46:11,106 epoch 3 - iter 8/26 - loss 0.71254800 - samples/sec: 70.54 - lr: 0.100000
2022-05-02 15:46:12,661 epoch 3 - iter 10/26 - loss 0.68056002 - samples/sec: 41.17 - lr: 0.100000
2022-05-02 15:46:14,195 epoch 3 - iter 12/26 - loss 0.62003628 - samples/sec: 41.75 - lr: 0.100000
2022-05-02 15:46:15,549 epoch 3 - iter 14/26 - loss 0.62764929 - samples/sec: 47.29 - lr: 0.100000
2022-05-02 15:46:16,685 epoch 3 - iter 16/26 - loss 0.64616873 - samples/sec: 56.36 - lr: 0.100000
2022-05-02 15:46:18,469 epoch 3 - iter 18/26 - loss 0.65065601 - samples/sec: 35.88 - lr: 0.100000
2022-05-02 15:46:19,908 epoch 3 - iter 20/26 - loss 0.64878090 - samples/sec: 44.50 - lr: 0.100000
2022-05-02 15:46:21,278 epoch 3 - iter 22/26 - loss 0.63696184 - samples/sec: 46.72 - lr: 0.100000
2022-05-02 15:46:22,587 epoch 3 - iter 24/26 - loss 0.63006250 - samples/sec: 48.92 - lr: 0.100000
2022-05-02 15:46:23,866 epoch 3 - iter 26/26 - loss 0.61985071 - samples/sec: 50.08 - lr: 0.100000
2022-05-02 15:46:23,866 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:23,866 EPOCH 3 done: loss 0.6199 - lr 0.1000000
2022-05-02 15:46:23,866 BAD EPOCHS (no improvement): 0
2022-05-02 15:46:23,867 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:25,024 epoch 4 - iter 2/26 - loss 0.82507049 - samples/sec: 55.30 - lr: 0.100000
2022-05-02 15:46:26,129 epoch 4 - iter 4/26 - loss 0.78983147 - samples/sec: 57.98 - lr: 0.100000
2022-05-02 15:46:27,401 epoch 4 - iter 6/26 - loss 0.69410684 - samples/sec: 50.34 - lr: 0.100000
2022-05-02 15:46:28,974 epoch 4 - iter 8/26 - loss 0.62705834 - samples/sec: 40.69 - lr: 0.100000
2022-05-02 15:46:30,301 epoch 4 - iter 10/26 - loss 0.57534194 - samples/sec: 48.26 - lr: 0.100000
2022-05-02 15:46:32,177 epoch 4 - iter 12/26 - loss 0.55566517 - samples/sec: 34.13 - lr: 0.100000
2022-05-02 15:46:33,477 epoch 4 - iter 14/26 - loss 0.56243747 - samples/sec: 49.26 - lr: 0.100000
2022-05-02 15:46:35,204 epoch 4 - iter 16/26 - loss 0.56436807 - samples/sec: 37.07 - lr: 0.100000
2022-05-02 15:46:36,732 epoch 4 - iter 18/26 - loss 0.58195288 - samples/sec: 41.88 - lr: 0.100000
2022-05-02 15:46:38,109 epoch 4 - iter 20/26 - loss 0.58868604 - samples/sec: 46.53 - lr: 0.100000
2022-05-02 15:46:39,677 epoch 4 - iter 22/26 - loss 0.56758502 - samples/sec: 40.87 - lr: 0.100000
2022-05-02 15:46:41,433 epoch 4 - iter 24/26 - loss 0.55202777 - samples/sec: 36.45 - lr: 0.100000
2022-05-02 15:46:42,227 epoch 4 - iter 26/26 - loss 0.56373496 - samples/sec: 80.65 - lr: 0.100000
2022-05-02 15:46:42,227 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:42,227 EPOCH 4 done: loss 0.5637 - lr 0.1000000
2022-05-02 15:46:42,227 BAD EPOCHS (no improvement): 0
2022-05-02 15:46:42,228 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:43,715 epoch 5 - iter 2/26 - loss 0.45379848 - samples/sec: 43.04 - lr: 0.100000
2022-05-02 15:46:44,818 epoch 5 - iter 4/26 - loss 0.54424541 - samples/sec: 58.04 - lr: 0.100000
2022-05-02 15:46:46,795 epoch 5 - iter 6/26 - loss 0.55437849 - samples/sec: 32.38 - lr: 0.100000
2022-05-02 15:46:47,855 epoch 5 - iter 8/26 - loss 0.58448347 - samples/sec: 60.42 - lr: 0.100000
2022-05-02 15:46:49,017 epoch 5 - iter 10/26 - loss 0.57394500 - samples/sec: 55.10 - lr: 0.100000
2022-05-02 15:46:50,144 epoch 5 - iter 12/26 - loss 0.56309941 - samples/sec: 56.82 - lr: 0.100000
2022-05-02 15:46:51,022 epoch 5 - iter 14/26 - loss 0.56087045 - samples/sec: 72.92 - lr: 0.100000
2022-05-02 15:46:52,247 epoch 5 - iter 16/26 - loss 0.54126941 - samples/sec: 52.27 - lr: 0.100000
2022-05-02 15:46:53,517 epoch 5 - iter 18/26 - loss 0.54781672 - samples/sec: 50.41 - lr: 0.100000
2022-05-02 15:46:54,987 epoch 5 - iter 20/26 - loss 0.52409069 - samples/sec: 43.55 - lr: 0.100000
2022-05-02 15:46:56,416 epoch 5 - iter 22/26 - loss 0.51082819 - samples/sec: 44.84 - lr: 0.100000
2022-05-02 15:46:58,077 epoch 5 - iter 24/26 - loss 0.50232400 - samples/sec: 38.55 - lr: 0.100000
2022-05-02 15:46:58,995 epoch 5 - iter 26/26 - loss 0.48588470 - samples/sec: 69.78 - lr: 0.100000
2022-05-02 15:46:58,995 ----------------------------------------------------------------------------------------------------
2022-05-02 15:46:58,995 EPOCH 5 done: loss 0.4859 - lr 0.1000000
2022-05-02 15:46:58,995 BAD EPOCHS (no improvement): 0
2022-05-02 15:46:58,995 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:00,509 epoch 6 - iter 2/26 - loss 0.52375350 - samples/sec: 42.28 - lr: 0.100000
2022-05-02 15:47:02,103 epoch 6 - iter 4/26 - loss 0.41911038 - samples/sec: 40.18 - lr: 0.100000
2022-05-02 15:47:03,126 epoch 6 - iter 6/26 - loss 0.41424604 - samples/sec: 62.57 - lr: 0.100000
2022-05-02 15:47:04,316 epoch 6 - iter 8/26 - loss 0.39943972 - samples/sec: 53.82 - lr: 0.100000
2022-05-02 15:47:05,798 epoch 6 - iter 10/26 - loss 0.36462904 - samples/sec: 43.20 - lr: 0.100000
2022-05-02 15:47:06,774 epoch 6 - iter 12/26 - loss 0.37187295 - samples/sec: 65.60 - lr: 0.100000
2022-05-02 15:47:07,781 epoch 6 - iter 14/26 - loss 0.40622993 - samples/sec: 63.60 - lr: 0.100000
2022-05-02 15:47:08,846 epoch 6 - iter 16/26 - loss 0.42953310 - samples/sec: 60.13 - lr: 0.100000
2022-05-02 15:47:10,187 epoch 6 - iter 18/26 - loss 0.41096443 - samples/sec: 47.72 - lr: 0.100000
2022-05-02 15:47:11,212 epoch 6 - iter 20/26 - loss 0.42107760 - samples/sec: 62.50 - lr: 0.100000
2022-05-02 15:47:12,138 epoch 6 - iter 22/26 - loss 0.42309019 - samples/sec: 69.15 - lr: 0.100000
2022-05-02 15:47:13,311 epoch 6 - iter 24/26 - loss 0.42768651 - samples/sec: 54.57 - lr: 0.100000
2022-05-02 15:47:14,615 epoch 6 - iter 26/26 - loss 0.42251539 - samples/sec: 49.12 - lr: 0.100000
2022-05-02 15:47:14,615 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:14,615 EPOCH 6 done: loss 0.4225 - lr 0.1000000
2022-05-02 15:47:14,615 BAD EPOCHS (no improvement): 0
2022-05-02 15:47:14,615 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:15,953 epoch 7 - iter 2/26 - loss 0.42888915 - samples/sec: 47.86 - lr: 0.100000
2022-05-02 15:47:16,988 epoch 7 - iter 4/26 - loss 0.46386105 - samples/sec: 61.89 - lr: 0.100000
2022-05-02 15:47:17,972 epoch 7 - iter 6/26 - loss 0.45750826 - samples/sec: 65.04 - lr: 0.100000
2022-05-02 15:47:19,035 epoch 7 - iter 8/26 - loss 0.45111557 - samples/sec: 60.26 - lr: 0.100000
2022-05-02 15:47:20,138 epoch 7 - iter 10/26 - loss 0.44598492 - samples/sec: 58.08 - lr: 0.100000
2022-05-02 15:47:21,221 epoch 7 - iter 12/26 - loss 0.43062620 - samples/sec: 59.11 - lr: 0.100000
2022-05-02 15:47:22,486 epoch 7 - iter 14/26 - loss 0.43319146 - samples/sec: 50.61 - lr: 0.100000
2022-05-02 15:47:23,844 epoch 7 - iter 16/26 - loss 0.40657923 - samples/sec: 47.16 - lr: 0.100000
2022-05-02 15:47:25,007 epoch 7 - iter 18/26 - loss 0.41484192 - samples/sec: 55.05 - lr: 0.100000
2022-05-02 15:47:26,325 epoch 7 - iter 20/26 - loss 0.41555710 - samples/sec: 48.58 - lr: 0.100000
2022-05-02 15:47:27,600 epoch 7 - iter 22/26 - loss 0.40336973 - samples/sec: 50.21 - lr: 0.100000
2022-05-02 15:47:29,044 epoch 7 - iter 24/26 - loss 0.39532046 - samples/sec: 44.33 - lr: 0.100000
2022-05-02 15:47:30,078 epoch 7 - iter 26/26 - loss 0.38841035 - samples/sec: 61.93 - lr: 0.100000
2022-05-02 15:47:30,079 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:30,079 EPOCH 7 done: loss 0.3884 - lr 0.1000000
2022-05-02 15:47:30,079 BAD EPOCHS (no improvement): 0
2022-05-02 15:47:30,079 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:31,357 epoch 8 - iter 2/26 - loss 0.41543718 - samples/sec: 50.11 - lr: 0.100000
2022-05-02 15:47:32,538 epoch 8 - iter 4/26 - loss 0.32899498 - samples/sec: 54.19 - lr: 0.100000
2022-05-02 15:47:33,686 epoch 8 - iter 6/26 - loss 0.35113539 - samples/sec: 55.79 - lr: 0.100000
2022-05-02 15:47:34,725 epoch 8 - iter 8/26 - loss 0.38507402 - samples/sec: 61.58 - lr: 0.100000
2022-05-02 15:47:35,995 epoch 8 - iter 10/26 - loss 0.42831411 - samples/sec: 50.42 - lr: 0.100000
2022-05-02 15:47:37,049 epoch 8 - iter 12/26 - loss 0.39097058 - samples/sec: 60.79 - lr: 0.100000
2022-05-02 15:47:38,008 epoch 8 - iter 14/26 - loss 0.37596686 - samples/sec: 66.72 - lr: 0.100000
2022-05-02 15:47:39,462 epoch 8 - iter 16/26 - loss 0.37649604 - samples/sec: 44.05 - lr: 0.100000
2022-05-02 15:47:40,655 epoch 8 - iter 18/26 - loss 0.37892339 - samples/sec: 53.64 - lr: 0.100000
2022-05-02 15:47:42,031 epoch 8 - iter 20/26 - loss 0.35924042 - samples/sec: 46.54 - lr: 0.100000
2022-05-02 15:47:43,123 epoch 8 - iter 22/26 - loss 0.35480360 - samples/sec: 58.65 - lr: 0.100000
2022-05-02 15:47:44,286 epoch 8 - iter 24/26 - loss 0.34975662 - samples/sec: 55.03 - lr: 0.100000
2022-05-02 15:47:45,065 epoch 8 - iter 26/26 - loss 0.34695374 - samples/sec: 82.23 - lr: 0.100000
2022-05-02 15:47:45,065 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:45,065 EPOCH 8 done: loss 0.3470 - lr 0.1000000
2022-05-02 15:47:45,065 BAD EPOCHS (no improvement): 0
2022-05-02 15:47:45,066 ----------------------------------------------------------------------------------------------------
2022-05-02 15:47:46,190 epoch 9 - iter 2/26 - loss 0.25508414 - samples/sec: 56.93 - lr: 0.100000
2022-05-02 15:47:47,453 epoch 9 - iter 4/26 - loss 0.32180418 - samples/sec: 50.72 - lr: 0.100000
2022-05-02 15:47:48,461 epoch 9 - iter 6/26 - loss 0.40408790 - samples/sec: 63.48 - lr: 0.100000
2022-05-02 15:47:49,701 epoch 9 - iter 8/26 - loss 0.39779257 - samples/sec: 51.64 - lr: 0.100000
2022-05-02 15:47:51,048 epoch 9 - iter 10/26 - loss 0.36724150 - samples/sec: 47.52 - lr: 0.100000
2022-05-02 15:47:51,922 epoch 9 - iter 12/26 - loss 0.35932055 - samples/sec: 73.33 - lr: 0.100000
2022-05-02 15:47:53,117 epoch 9 - iter 14/26 - loss 0.34947437 - samples/sec: 53.57 - lr: 0.100000
2022-05-02 15:47:54,265 epoch 9 - iter 16/26 - loss 0.32652718 - samples/sec: 55.77 - lr: 0.100000
2022-05-02 15:47:55,487 epoch 9 - iter 18/26 - loss 0.32168879 - samples/sec: 52.41 - lr: 0.100000
2022-05-02 15:47:56,483 epoch 9 - iter 20/26 - loss 0.32835642 - samples/sec: 64.28 - lr: 0.100000
2022-05-02 15:47:57,790 epoch 9 - iter 22/26 - loss 0.33238740 - samples/sec: 48.98 - lr: 0.100000
2022-05-02 15:47:59,047 epoch 9 - iter 24/26 - loss 0.32465148 - samples/sec: 50.93 - lr: 0.100000
2022-05-02 15:48:00,176 epoch 9 - iter 26/26 - loss 0.30912264 - samples/sec: 56.73 - lr: 0.100000
2022-05-02 15:48:00,176 ----------------------------------------------------------------------------------------------------
2022-05-02 15:48:00,176 EPOCH 9 done: loss 0.3091 - lr 0.1000000
2022-05-02 15:48:00,176 BAD EPOCHS (no improvement): 0
2022-05-02 15:48:00,176 ----------------------------------------------------------------------------------------------------
2022-05-02 15:48:01,533 epoch 10 - iter 2/26 - loss 0.34254425 - samples/sec: 47.18 - lr: 0.100000
2022-05-02 15:48:02,801 epoch 10 - iter 4/26 - loss 0.37900189 - samples/sec: 50.52 - lr: 0.100000
2022-05-02 15:48:03,912 epoch 10 - iter 6/26 - loss 0.33156605 - samples/sec: 57.61 - lr: 0.100000
2022-05-02 15:48:05,257 epoch 10 - iter 8/26 - loss 0.30826664 - samples/sec: 47.58 - lr: 0.100000
2022-05-02 15:48:06,496 epoch 10 - iter 10/26 - loss 0.32724932 - samples/sec: 51.71 - lr: 0.100000
2022-05-02 15:48:07,790 epoch 10 - iter 12/26 - loss 0.30998078 - samples/sec: 49.46 - lr: 0.100000
2022-05-02 15:48:09,009 epoch 10 - iter 14/26 - loss 0.30504032 - samples/sec: 52.52 - lr: 0.100000
2022-05-02 15:48:10,539 epoch 10 - iter 16/26 - loss 0.28721872 - samples/sec: 41.87 - lr: 0.100000
2022-05-02 15:48:11,646 epoch 10 - iter 18/26 - loss 0.29072309 - samples/sec: 57.84 - lr: 0.100000
2022-05-02 15:48:12,706 epoch 10 - iter 20/26 - loss 0.30101217 - samples/sec: 60.40 - lr: 0.100000
2022-05-02 15:48:13,994 epoch 10 - iter 22/26 - loss 0.30494834 - samples/sec: 49.71 - lr: 0.100000
2022-05-02 15:48:15,298 epoch 10 - iter 24/26 - loss 0.31061478 - samples/sec: 49.09 - lr: 0.100000
2022-05-02 15:48:16,150 epoch 10 - iter 26/26 - loss 0.31141102 - samples/sec: 75.23 - lr: 0.100000
2022-05-02 15:48:16,150 ----------------------------------------------------------------------------------------------------
2022-05-02 15:48:16,150 EPOCH 10 done: loss 0.3114 - lr 0.1000000
2022-05-02 15:48:16,150 BAD EPOCHS (no improvement): 1
2022-05-02 15:48:46,752 ----------------------------------------------------------------------------------------------------
2022-05-02 15:48:46,768 Testing using last state of model ...
2022-05-02 15:49:06,966 0.3 0.1846 0.2286 0.1364
2022-05-02 15:49:06,967
Results:
- F-score (micro) 0.2286
- F-score (macro) 0.1296
- Accuracy 0.1364
By class:
precision recall f1-score support
quantity 0.3571 0.8333 0.5000 6
title 0.2857 0.2000 0.2353 10
goal 0.0000 0.0000 0.0000 10
time 0.4000 0.2222 0.2857 9
date 0.6667 0.5000 0.5714 4
area 0.0000 0.0000 0.0000 3
interval 0.0000 0.0000 0.0000 1
movie 0.0000 0.0000 0.0000 3
phone 0.0000 0.0000 0.0000 3
seat 0.0000 0.0000 0.0000 2
hour 0.0000 0.0000 0.0000 2
row 0.0000 0.0000 0.0000 2
ticketnumber 0.0000 0.0000 0.0000 2
name 1.0000 1.0000 1.0000 1
e-mail 0.0000 0.0000 0.0000 2
ticketsnumber 0.0000 0.0000 0.0000 1
sit_place 0.0000 0.0000 0.0000 1
email 0.0000 0.0000 0.0000 1
bankAccountNumber 0.0000 0.0000 0.0000 1
issue 0.0000 0.0000 0.0000 1
micro avg 0.3000 0.1846 0.2286 65
macro avg 0.1355 0.1378 0.1296 65
weighted avg 0.1887 0.1846 0.1725 65
samples avg 0.1364 0.1364 0.1364 65
2022-05-02 15:49:06,967 ----------------------------------------------------------------------------------------------------

File diff suppressed because it is too large Load Diff

View File

@ -1,34 +1,176 @@
# text: studencki
# intent: inform
# slots: student:tickettype
1 studencki inform NoLabel
# text: ok
# intent: affirm
# text: dziękuję, do widzenia
# intent: bye
# slots:
1 ok affirm NoLabel
1 dziękuję bye NoLabel
2 , bye NoLabel
3 do bye NoLabel
4 widzenia bye NoLabel
# text: Dzień dobry
# intent: hello
# slots:
1 Dzień hello NoLabel
2 dobry hello NoLabel
# text: teraz
# intent: inform
# slots:
1 teraz inform NoLabel
# text: chciałbym zarezerwować bilet na batmana
# intent: help
# slots:
1 chciałbym help NoLabel
2 zarezerwować help NoLabel
3 bilet help NoLabel
4 na help NoLabel
5 batmana help NoLabel
# text: Jan Kowalski
# intent: affirm inform
# slots: JanKowalski:name
1 Jan affirm inform B-name
2 Kowalski affirm inform I-name
# text: przez internet
# intent: inform
# slots: przezinternet:purchaseType
1 przez inform B-purchaseType
2 internet inform I-purchaseType
# text: 12093098490832030210334434
# intent: inform
# slots: 12093098490832030210334434:bankAccountNumber
1 12093098490832030210334434 inform B-bankAccountNumber
# text: Chciałbym miejsca najbliżej ekranu
# intent: request
# slots:
1 Chciałbym request NoLabel
2 miejsca request NoLabel
3 najbliżej request NoLabel
4 ekranu request NoLabel
# text: emkarcinos42069@buziaczek.pl 123123123
# intent: inform
# slots: emkarcinos42069@buziaczek.pl:email,123123123:phone
1 emkarcinos42069@buziaczek.pl inform B-email
2 123123123 inform B-phone
# text: Rozumiem. Chcę w takim razie zarezerwować dwa bilety na Sing 2
# intent: ack request
# slots: 2:quantity,Sing2:title
1 Rozumiem ack request NoLabel
2 . ack request NoLabel
3 Chcę ack request NoLabel
4 w ack request NoLabel
5 takim ack request NoLabel
6 razie ack request NoLabel
7 zarezerwować ack request NoLabel
8 dwa ack request NoLabel
9 bilety ack request NoLabel
10 na ack request NoLabel
11 Sing ack request B-title
12 2 ack request I-title
# text: z przodu
# intent: inform
# slots:
1 z inform NoLabel
2 przodu inform NoLabel
# text: Adrian Charkiewicz, gfasfaf@gmail.com
# intent: inform
# slots: AdrianCharkiewicz:name,gfasfa@gmail.com:e-mail
1 Adrian inform B-name
2 Charkiewicz inform I-name
3 , inform NoLabel
4 gfasfaf@gmail.com inform NoLabel
# text: Co w przypadku gdy się spóźnie?
# intent: reqmore
# slots:
1 Co reqmore NoLabel
2 w reqmore NoLabel
3 przypadku reqmore NoLabel
4 gdy reqmore NoLabel
5 się reqmore NoLabel
6 spóźnie reqmore NoLabel
7 ? reqmore NoLabel
# text: Wybieram godzinę 20:45
# intent: offer
# slots: 16:30,19:15orazo20:45:time
1 Wybieram offer NoLabel
2 godzinę offer NoLabel
3 20:45 offer NoLabel
# text: Może być
# intent: ack
# slots:
1 Może ack NoLabel
2 być ack NoLabel
# text: Dzień dobry!
# intent: hello
# slots:
1 Dzień hello NoLabel
2 dobry hello NoLabel
3 ! hello NoLabel
# text: test@test.pl
# intent: inform
# slots:
1 test@test.pl inform NoLabel
# text: chciałbym się dowiedzieć co będzie 25 marca
# intent: request
# slots:
1 chciałbym request NoLabel
2 się request NoLabel
3 dowiedzieć request NoLabel
4 co request NoLabel
5 będzie request NoLabel
6 25 request NoLabel
7 marca request NoLabel
# text: na tyłach
# intent: inform
# slots:
1 na inform NoLabel
2 tyłach inform NoLabel
# text: Witam
# intent: hello
# slots:
1 Witam hello NoLabel
# text: Ostatni
# intent: inform
# slots: 12:row
1 Ostatni inform NoLabel
# text: Tak
# intent: affirm
# slots:
1 Tak affirm NoLabel
# text: 9 i 10
# intent: inform inform
# slots: 10:seat
1 9 inform inform NoLabel
2 i inform inform NoLabel
3 10 inform inform B-seat
# text: Ile kosztują bielty na Niewypanda?
# text: Chcę wiedzieć w jakim kinie podajesz seanse
# intent: null
# slots:
1 Ile null NoLabel
2 kosztują null NoLabel
3 bielty null NoLabel
4 na null NoLabel
5 Niewypanda null NoLabel
6 ? null NoLabel
1 Chcę null NoLabel
2 wiedzieć null NoLabel
3 w null NoLabel
4 jakim null NoLabel
5 kinie null NoLabel
6 podajesz null NoLabel
7 seanse null NoLabel
# text: ju tu
# intent: inform
# slots: jutu:name
1 ju inform B-name
2 tu inform I-name
# text: daleko od ludzi
# intent: null
@ -48,17 +190,20 @@
6 rzędzie inform NoLabel
7 10 inform B-row
# text: chciałbym kupić bilet ale nie wiem na co
# intent: help
# text: W okolicach środka, środkowego rzędu
# intent: inform
# slots:
1 chciałbym help NoLabel
2 kupić help NoLabel
3 bilet help NoLabel
4 ale help NoLabel
5 nie help NoLabel
6 wiem help NoLabel
7 na help NoLabel
8 co help NoLabel
1 W inform NoLabel
2 okolicach inform NoLabel
3 środka inform NoLabel
4 , inform NoLabel
5 środkowego inform NoLabel
6 rzędu inform NoLabel
# text: Teraz
# intent: inform
# slots:
1 Teraz inform NoLabel
# text: Poproszę bilet na Batmana jutro o 15:00 i pande w sobotę na 17:00
# intent: inform null inform
@ -77,61 +222,82 @@
12 na inform null inform NoLabel
13 17:00 inform null inform B-hour
# text: dzisiaj
# intent: inform
# text: No dobła, niech będzie
# intent: ack affirm
# slots:
1 dzisiaj inform NoLabel
1 No ack affirm NoLabel
2 dobła ack affirm NoLabel
3 , ack affirm NoLabel
4 niech ack affirm NoLabel
5 będzie ack affirm NoLabel
# text: ulgowe
# text: Chcę iść do kina
# intent: request
# slots:
1 Chcę request NoLabel
2 iść request NoLabel
3 do request NoLabel
4 kina request NoLabel
# text: A później nie ma?
# intent: reqmore
# slots:
1 A reqmore NoLabel
2 później reqmore NoLabel
3 nie reqmore NoLabel
4 ma reqmore NoLabel
5 ? reqmore NoLabel
# text: No pewnie jakoś będzie. Na fanstaczne zernęta proszę zatem.
# intent: inform
# slots: reduced:tickettype
1 ulgowe inform NoLabel
# slots: fanstacznezernęta:title
1 No inform NoLabel
2 pewnie inform NoLabel
3 jakoś inform NoLabel
4 będzie inform NoLabel
5 . inform NoLabel
6 Na inform NoLabel
7 fanstaczne inform B-title
8 zernęta inform I-title
9 proszę inform NoLabel
10 zatem inform NoLabel
11 . inform NoLabel
# text: Dobrze
# text: przed ostatnim
# intent: inform
# slots: 10:sit_row
1 przed inform NoLabel
2 ostatnim inform NoLabel
# text: wygodne
# intent: null
# slots:
1 Dobrze null NoLabel
1 wygodne null NoLabel
# text: 11
# text: batman
# intent: inform
# slots: 11:ticketnumber
1 11 inform B-ticketnumber
# slots: batman:movie
1 batman inform B-movie
# text: Dzień dobry
# intent: hello
# slots:
1 Dzień hello NoLabel
2 dobry hello NoLabel
# text: Które rzędzy są dostępne?
# intent: null
# slots:
1 Które null NoLabel
2 rzędzy null NoLabel
3 są null NoLabel
4 dostępne null NoLabel
5 ? null NoLabel
# text: Najlepiej rzędy na górze
# intent: null
# slots:
1 Najlepiej null NoLabel
2 rzędy null NoLabel
3 na null NoLabel
4 górze null NoLabel
# text: Cześć
# intent: hello
# slots:
1 Cześć hello NoLabel
# text: To poproszę bilet ulgowy
# text: 19:30
# intent: inform
# slots: reduced:tickettype
1 To inform NoLabel
2 poproszę inform NoLabel
3 bilet inform NoLabel
4 ulgowy inform NoLabel
# slots: 19:30:time
1 19:30 inform B-time
# text: 3 normalne i 3 ulgowe
# intent: inform
# slots: 3:normalQuantity,3:reducedQuantity
1 3 inform B-reducedQuantity
2 normalne inform NoLabel
3 i inform NoLabel
4 3 inform B-reducedQuantity
5 ulgowe inform NoLabel
# text: Dziękuję systemie
# intent: thankyou
# slots:
1 Dziękuję thankyou NoLabel
2 systemie thankyou NoLabel
# text: dól lewo
# intent: inform
@ -139,196 +305,39 @@
1 dól inform NoLabel
2 lewo inform NoLabel
# text: Czy gracie Batman?
# text: Jakie macie zniżki?
# intent: request
# slots: Batman:movie
1 Czy request NoLabel
2 gracie request NoLabel
3 Batman request B-movie
# slots:
1 Jakie request NoLabel
2 macie request NoLabel
3 zniżki request NoLabel
4 ? request NoLabel
# text: Cześć
# intent: hello
# slots:
1 Cześć hello NoLabel
# text: 1 weteran i 1 ulgowy
# intent: inform inform
# slots: reduced:tickettype,1:ticketnumber
1 1 inform inform B-ticketnumber
2 weteran inform inform NoLabel
3 i inform inform NoLabel
4 1 inform inform B-ticketnumber
5 ulgowy inform inform NoLabel
# text: Na 21 proszę
# text: Jakub Kaczmarek
# intent: inform
# slots: 21:00:hour
1 Na inform NoLabel
2 21 inform NoLabel
3 proszę inform NoLabel
# slots: JanKaczmarek:name
1 Jakub inform NoLabel
2 Kaczmarek inform NoLabel
# text: Elo
# intent: hello
# slots:
1 Elo hello NoLabel
# text: Zaskocz mnie
# intent: request
# slots:
1 Zaskocz request NoLabel
2 mnie request NoLabel
# text: Nie, rozmyśliłam się.
# intent: deny
# slots: cancelbook:task
1 Nie deny NoLabel
2 , deny NoLabel
3 rozmyśliłam deny NoLabel
4 się deny NoLabel
5 . deny NoLabel
# text: Dzień dobry
# intent: hello
# slots:
1 Dzień hello NoLabel
2 dobry hello NoLabel
# text: na końcu sali
# intent: request
# slots:
1 na request NoLabel
2 końcu request NoLabel
3 sali request NoLabel
# text: wygodne
# intent: null
# slots:
1 wygodne null NoLabel
# text: Chciałbym dowiedzieć się czegoś o aktualnym repertuarze
# intent: request
# slots: closestscreenings:task
1 Chciałbym request NoLabel
2 dowiedzieć request NoLabel
3 się request NoLabel
4 czegoś request NoLabel
5 o request NoLabel
6 aktualnym request NoLabel
7 repertuarze request NoLabel
# text: W takim razie je poproszę
# text: poproszę 1
# intent: inform
# slots: 7-8:10:sit
1 W inform NoLabel
2 takim inform NoLabel
3 razie inform NoLabel
4 je inform NoLabel
5 poproszę inform NoLabel
# text: Chciałbym kupić bilet na Batmana w środę.
# intent: request
# slots: book:task,Batman:movie,12.04.2021:date
1 Chciałbym request NoLabel
2 kupić request NoLabel
3 bilet request NoLabel
4 na request NoLabel
5 Batmana request NoLabel
6 w request NoLabel
7 środę request NoLabel
8 . request NoLabel
# text: poproszę miejsca od 10 do 12 w ostatnim rzędzie
# intent: inform
# slots: 10-12,11:sit
# slots: 1:seat
1 poproszę inform NoLabel
2 miejsca inform NoLabel
3 od inform NoLabel
4 10 inform NoLabel
5 do inform NoLabel
6 12 inform NoLabel
7 w inform NoLabel
8 ostatnim inform NoLabel
9 rzędzie inform NoLabel
2 1 inform B-seat
# text: teraz
# intent: inform
# slots:
1 teraz inform NoLabel
# text: Emil Kowalski
# intent: inform
# slots: EmilKowalski:name
1 Emil inform B-name
2 Kowalski inform I-name
# text: 30 marca o godzinie 12:10
# intent: inform
# slots: 30.03.2022,12:10:date
1 30 inform NoLabel
2 marca inform NoLabel
3 o inform NoLabel
4 godzinie inform NoLabel
5 12:10 inform NoLabel
# text: Chciałbym poznać akltualny repertuar
# intent: request
# slots: closestscreenings:task
1 Chciałbym request NoLabel
2 poznać request NoLabel
3 akltualny request NoLabel
4 repertuar request NoLabel
# text: Chciałbym wypożyczyć film
# intent: null
# slots:
1 Chciałbym null NoLabel
2 wypożyczyć null NoLabel
3 film null NoLabel
# text: Chciałbym zarezerwować bilety na Batman i zemsta Muminków jutro o 21:00
# intent: request
# slots: book:task,BatmanizemstaMuminków:movie,12.04.2022:date
1 Chciałbym request NoLabel
2 zarezerwować request NoLabel
3 bilety request NoLabel
4 na request NoLabel
5 Batman request B-movie
6 i request I-movie
7 zemsta request I-movie
8 Muminków request I-movie
9 jutro request NoLabel
10 o request NoLabel
11 21:00 request NoLabel
# text: chciałbym się dowiedzieć co będzie 25 marca
# intent: request
# slots:
1 chciałbym request NoLabel
2 się request NoLabel
3 dowiedzieć request NoLabel
4 co request NoLabel
5 będzie request NoLabel
6 25 request NoLabel
7 marca request NoLabel
# text: poproszę 3 bilety
# intent: request
# slots: book:task
1 poproszę request NoLabel
2 3 request NoLabel
3 bilety request NoLabel
# text: Chcialbym bilet na batmana
# intent: request
# slots: book:task,batman:movie
1 Chcialbym request NoLabel
2 bilet request NoLabel
3 na request NoLabel
4 batmana request NoLabel
# text: tak zgadza się
# intent: act
# slots:
1 tak act NoLabel
2 zgadza act NoLabel
3 się act NoLabel
# text: Dzień dobry
# text: dzień dobry
# intent: hello
# slots:
1 Dzień hello NoLabel
1 dzień hello NoLabel
2 dobry hello NoLabel
# text: z tyłu, na środku (aby ekran był centralnie widoczny)
@ -347,86 +356,19 @@
11 widoczny inform NoLabel
12 ) inform NoLabel
# text: A jakie są DOSTĘPNE miejsca najbliżej ekranu?
# intent: request
# slots:
1 A request NoLabel
2 jakie request NoLabel
3 są request NoLabel
4 DOSTĘPNE request NoLabel
5 miejsca request NoLabel
6 najbliżej request NoLabel
7 ekranu request NoLabel
8 ? request NoLabel
# text: Chciałbym miejsca najbliżej ekranu
# intent: request
# slots:
1 Chciałbym request NoLabel
2 miejsca request NoLabel
3 najbliżej request NoLabel
4 ekranu request NoLabel
# text: Ile kosztują bielty na Sing 2?
# intent: request
# slots:
1 Ile request NoLabel
2 kosztują request NoLabel
3 bielty request NoLabel
4 na request NoLabel
5 Sing request NoLabel
6 2 request NoLabel
7 ? request NoLabel
# text: Jakie są godziny tych seansów?
# intent: request
# slots:
1 Jakie request NoLabel
2 są request NoLabel
3 godziny request NoLabel
4 tych request NoLabel
5 seansów request NoLabel
6 ? request NoLabel
# text: test@test.pl
# text: Martyna Druminska mdruminska074@gmail.com
# intent: inform
# slots:
1 test@test.pl inform NoLabel
# slots: MartynaDruminska:name,mdruminska074@gmail.com:e-mail
1 Martyna inform B-name
2 Druminska inform I-name
3 mdruminska074@gmail.com inform B-e-mail
# text: Bilet na seans
# intent: request
# slots:
1 Bilet request NoLabel
2 na request NoLabel
3 seans request NoLabel
# text: Chciał bym zamówić bilet na film Minionki dzisiaj o 18.30
# text: Taki O okita@mail.com
# intent: inform
# slots: Minionki:movie,dzisiaj:date,18:30:time
1 Chciał inform NoLabel
2 bym inform NoLabel
3 zamówić inform NoLabel
4 bilet inform NoLabel
5 na inform NoLabel
6 film inform NoLabel
7 Minionki inform B-movie
8 dzisiaj inform B-date
9 o inform NoLabel
10 18.30 inform NoLabel
# text: jakie są dostępne ulgi?
# intent: reqmore
# slots:
1 jakie reqmore NoLabel
2 są reqmore NoLabel
3 dostępne reqmore NoLabel
4 ulgi reqmore NoLabel
5 ? reqmore NoLabel
# text: Dziękuję
# intent: ack
# slots:
1 Dziękuję ack NoLabel
# slots: TakiO:name,okita@mail.com:e-mail
1 Taki inform B-name
2 O inform I-name
3 okita@mail.com inform B-e-mail
# text: Dzień dobry
# intent: hello
@ -434,82 +376,130 @@
1 Dzień hello NoLabel
2 dobry hello NoLabel
# text: Nie
# intent: deny
# text: Super
# intent: act
# slots:
1 Nie deny NoLabel
1 Super act NoLabel
# text: lalalalili@gmai.com, 111222111
# intent: inform
# slots: lalalalili@gmai.com:email,111222111:phone
1 lalalalili@gmai.com, inform NoLabel
2 111222111 inform B-phone
# text: To 12 i 13 w J proszę
# intent: inform inform inform
# slots: 13:seat
1 To inform inform inform NoLabel
2 12 inform inform inform NoLabel
3 i inform inform inform NoLabel
4 13 inform inform inform B-seat
5 w inform inform inform NoLabel
6 J inform inform inform NoLabel
7 proszę inform inform inform NoLabel
# text: Wybieram godzinę 20:45
# intent: offer
# slots: 16:30,19:15orazo20:45:time
1 Wybieram offer NoLabel
2 godzinę offer NoLabel
3 20:45 offer NoLabel
# text: Jakie płatności przyjmujecie?
# intent: request
# text: Na środku jakoś
# intent: null
# slots:
1 Jakie request NoLabel
2 płatności request NoLabel
3 przyjmujecie request NoLabel
4 ? request NoLabel
# text: Ok
# intent: ack
# slots:
1 Ok ack NoLabel
# text: 3 normalne i 3 ulgowe
# intent: inform
# slots: 3:normalQuantity,3:reducedQuantity
1 3 inform B-reducedQuantity
2 normalne inform NoLabel
3 i inform NoLabel
4 3 inform B-reducedQuantity
5 ulgowe inform NoLabel
# text: A później nie ma?
# intent: reqmore
# slots:
1 A reqmore NoLabel
2 później reqmore NoLabel
3 nie reqmore NoLabel
4 ma reqmore NoLabel
5 ? reqmore NoLabel
1 Na null NoLabel
2 środku null NoLabel
3 jakoś null NoLabel
# text: Elo
# intent: hello
# slots:
1 Elo hello NoLabel
# text: to na dzisiaj na śmirc na nilu
# text: I J
# intent: inform inform
# slots: J:row
1 I inform inform NoLabel
2 J inform inform B-row
# text: Wybieram wszystkie
# intent: inform
# slots:
1 to inform NoLabel
2 na inform NoLabel
3 dzisiaj inform NoLabel
4 na inform NoLabel
5 śmirc inform NoLabel
6 na inform NoLabel
7 nilu inform NoLabel
# slots: all:seat
1 Wybieram inform NoLabel
2 wszystkie inform NoLabel
# text: A gdzie się znajduje?
# intent: reqmore
# slots:
1 A reqmore NoLabel
2 gdzie reqmore NoLabel
3 się reqmore NoLabel
4 znajduje reqmore NoLabel
5 ? reqmore NoLabel
# text: iwona.christop@gmail.com
# text: W takim razie chcę zarezerwować bilety na film to Niewypanda
# intent: inform
# slots:
1 iwona.christop@gmail.com inform NoLabel
# slots: book:task,Toniewypanda:movie
1 W inform NoLabel
2 takim inform NoLabel
3 razie inform NoLabel
4 chcę inform NoLabel
5 zarezerwować inform NoLabel
6 bilety inform NoLabel
7 na inform NoLabel
8 film inform NoLabel
9 to inform NoLabel
10 Niewypanda inform NoLabel
# text: Które rzędzy są dostępne?
# intent: null
# slots:
1 Które null NoLabel
2 rzędzy null NoLabel
3 są null NoLabel
4 dostępne null NoLabel
5 ? null NoLabel
# text: 11
# intent: inform
# slots: 11:ticketnumber
1 11 inform B-ticketnumber
# text: Jakie są dostępne miejsca na film 'Batman'?
# intent: request
# slots: batman:movie
1 Jakie request NoLabel
2 są request NoLabel
3 dostępne request NoLabel
4 miejsca request NoLabel
5 na request NoLabel
6 film request NoLabel
7 Batman request B-movie
8 ? request NoLabel
# text: To poproszę bilet ulgowy
# intent: inform
# slots: reduced:tickettype
1 To inform NoLabel
2 poproszę inform NoLabel
3 bilet inform NoLabel
4 ulgowy inform NoLabel
# text: Jaki jest zakres rzędów?
# intent: request
# slots:
1 Jaki request NoLabel
2 jest request NoLabel
3 zakres request NoLabel
4 rzędów request NoLabel
5 ? request NoLabel
# text: tak, daleko od ekranu
# intent: inform
# slots: dalekoodekranu:seatPlacement
1 tak inform NoLabel
2 , inform NoLabel
3 daleko inform B-seatPlacement
4 od inform I-seatPlacement
5 ekranu inform I-seatPlacement
# text: 123@132.pl
# intent: inform
# slots: 123@132.pl:e-mail
1 123@132.pl inform B-e-mail
# text: Chciałbym dowiedzieć się czegoś o aktualnym repertuarze
# intent: request
# slots: closestscreenings:task
1 Chciałbym request NoLabel
2 dowiedzieć request NoLabel
3 się request NoLabel
4 czegoś request NoLabel
5 o request NoLabel
6 aktualnym request NoLabel
7 repertuarze request NoLabel
# text: Tak
# intent: ack
# slots:
1 Tak ack NoLabel

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff