spdin
commited on
Commit
•
e6eea53
1
Parent(s):
42b59a7
initial commit
Browse files- sroie2019.py +89 -0
- train.txt +294 -0
- val.txt +86 -0
sroie2019.py
ADDED
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import gin
|
3 |
+
import torch
|
4 |
+
import datasets
|
5 |
+
|
6 |
+
from pathlib import Path
|
7 |
+
from torch.utils.data import Dataset
|
8 |
+
|
9 |
+
from datasets import load_dataset, Features, Value, ClassLabel, DownloadConfig
|
10 |
+
|
11 |
+
_DESCRIPTION = """\
|
12 |
+
"""
|
13 |
+
|
14 |
+
_CITATION = """\
|
15 |
+
"""
|
16 |
+
|
17 |
+
# it could be file or url path
|
18 |
+
_TRAIN_DOWNLOAD_URL = "train.txt"
|
19 |
+
_VAL_DOWNLOAD_URL = "val.txt"
|
20 |
+
|
21 |
+
CLASS_NAMES = ["company", "date", "address", "total", "O"]
|
22 |
+
|
23 |
+
|
24 |
+
class CustomTokenDataset(datasets.GeneratorBasedBuilder):
|
25 |
+
"""CustomTokenDataset dataset."""
|
26 |
+
|
27 |
+
def _info(self):
|
28 |
+
return datasets.DatasetInfo(
|
29 |
+
description=_DESCRIPTION,
|
30 |
+
features=datasets.Features(
|
31 |
+
{
|
32 |
+
"id": datasets.Value("string"),
|
33 |
+
"tokens": datasets.Sequence(datasets.Value("string")),
|
34 |
+
"ner_tags": datasets.Sequence(
|
35 |
+
datasets.features.ClassLabel(names=sorted(list(CLASS_NAMES)))
|
36 |
+
),
|
37 |
+
}
|
38 |
+
),
|
39 |
+
supervised_keys=None,
|
40 |
+
homepage="",
|
41 |
+
citation=_CITATION,
|
42 |
+
)
|
43 |
+
|
44 |
+
def _split_generators(self, dl_manager):
|
45 |
+
"""Returns SplitGenerators."""
|
46 |
+
urls_to_download = {
|
47 |
+
"train": _TRAIN_DOWNLOAD_URL,
|
48 |
+
"val": _VAL_DOWNLOAD_URL,
|
49 |
+
}
|
50 |
+
downloaded_files = dl_manager.download_and_extract(urls_to_download)
|
51 |
+
|
52 |
+
return [
|
53 |
+
datasets.SplitGenerator(
|
54 |
+
name=datasets.Split.TRAIN,
|
55 |
+
gen_kwargs={"filepath": downloaded_files["train"]},
|
56 |
+
),
|
57 |
+
datasets.SplitGenerator(
|
58 |
+
name=datasets.Split.VALIDATION,
|
59 |
+
gen_kwargs={"filepath": downloaded_files["val"]},
|
60 |
+
),
|
61 |
+
]
|
62 |
+
|
63 |
+
def _generate_examples(self, filepath):
|
64 |
+
with open(filepath, encoding="utf-8") as f:
|
65 |
+
guid = 0
|
66 |
+
tokens = []
|
67 |
+
ner_tags = []
|
68 |
+
for line in f:
|
69 |
+
if line == "" or line == "\n":
|
70 |
+
if tokens:
|
71 |
+
yield guid, {
|
72 |
+
"id": str(guid),
|
73 |
+
"tokens": tokens,
|
74 |
+
"ner_tags": ner_tags,
|
75 |
+
}
|
76 |
+
guid += 1
|
77 |
+
tokens = []
|
78 |
+
ner_tags = []
|
79 |
+
else:
|
80 |
+
# CustomDataset tokens are space separated
|
81 |
+
splits = line.split(" ")
|
82 |
+
tokens.append(splits[0])
|
83 |
+
ner_tags.append(splits[1].rstrip())
|
84 |
+
# last example
|
85 |
+
yield guid, {
|
86 |
+
"id": str(guid),
|
87 |
+
"tokens": tokens,
|
88 |
+
"ner_tags": ner_tags,
|
89 |
+
}
|
train.txt
ADDED
@@ -0,0 +1,294 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
TAN O
|
2 |
+
WOON O
|
3 |
+
YANN O
|
4 |
+
BOOK company
|
5 |
+
TA company
|
6 |
+
.K(TAMAN company
|
7 |
+
DAYA) company
|
8 |
+
SDN company
|
9 |
+
BND company
|
10 |
+
789417-W O
|
11 |
+
NO.53 address
|
12 |
+
55 address
|
13 |
+
57 address
|
14 |
+
& address
|
15 |
+
59 address
|
16 |
+
address
|
17 |
+
JALAN address
|
18 |
+
SAGU address
|
19 |
+
18 address
|
20 |
+
TAMAN address
|
21 |
+
DAYA address
|
22 |
+
81100 address
|
23 |
+
JOHOR address
|
24 |
+
BAHRU address
|
25 |
+
JOHOR. address
|
26 |
+
DOCUMENT O
|
27 |
+
NO O
|
28 |
+
: O
|
29 |
+
TD01167104 O
|
30 |
+
DATE: O
|
31 |
+
25/12/2018 date
|
32 |
+
8:13:39 date
|
33 |
+
PM date
|
34 |
+
CASHIER: O
|
35 |
+
MANIS O
|
36 |
+
MEMBER: O
|
37 |
+
CASH O
|
38 |
+
BILL O
|
39 |
+
CODE/DESC O
|
40 |
+
PRICE O
|
41 |
+
DISC O
|
42 |
+
AMOUNT O
|
43 |
+
QTY O
|
44 |
+
RM O
|
45 |
+
9556939040116 O
|
46 |
+
KF O
|
47 |
+
MODELLING O
|
48 |
+
CLAY O
|
49 |
+
KIDDY O
|
50 |
+
FISH O
|
51 |
+
1 O
|
52 |
+
PC O
|
53 |
+
* O
|
54 |
+
9.000 total
|
55 |
+
0.00 O
|
56 |
+
9.00 total
|
57 |
+
TOTAL: O
|
58 |
+
ROUR O
|
59 |
+
DING O
|
60 |
+
ADJUSTMENT: O
|
61 |
+
ROUND O
|
62 |
+
D O
|
63 |
+
TOTAL O
|
64 |
+
(RM): O
|
65 |
+
CASH O
|
66 |
+
10.00 O
|
67 |
+
CHANGE O
|
68 |
+
1.00 O
|
69 |
+
GOODS O
|
70 |
+
SOLD O
|
71 |
+
ARE O
|
72 |
+
NOT O
|
73 |
+
RETURNABLE O
|
74 |
+
OR O
|
75 |
+
EXCHANGEABLE O
|
76 |
+
*** O
|
77 |
+
THANK O
|
78 |
+
YOU O
|
79 |
+
PLEASE O
|
80 |
+
COME O
|
81 |
+
AGAIN O
|
82 |
+
! O
|
83 |
+
|
84 |
+
TAN O
|
85 |
+
WOON O
|
86 |
+
YANN O
|
87 |
+
INDAH company
|
88 |
+
GIFT company
|
89 |
+
& company
|
90 |
+
HOME company
|
91 |
+
DECO company
|
92 |
+
27 address
|
93 |
+
JALAN address
|
94 |
+
DEDAP address
|
95 |
+
13 address
|
96 |
+
TAMAN address
|
97 |
+
JOHOR address
|
98 |
+
JAYA address
|
99 |
+
81100 address
|
100 |
+
JOHOR address
|
101 |
+
BAHRU address
|
102 |
+
JOHOR. address
|
103 |
+
TEL:07-3507405 O
|
104 |
+
FAX:07-3558160 O
|
105 |
+
RECEIPT O
|
106 |
+
19/10/2018 date
|
107 |
+
20:49:59 date
|
108 |
+
#01 date
|
109 |
+
CASHIER: O
|
110 |
+
CN O
|
111 |
+
LOCATION/SP: O
|
112 |
+
05 O
|
113 |
+
/0531 O
|
114 |
+
MB: O
|
115 |
+
MO26588 O
|
116 |
+
ROOM O
|
117 |
+
NO: O
|
118 |
+
01 O
|
119 |
+
050100035279 O
|
120 |
+
DESC/ITEM O
|
121 |
+
QTY O
|
122 |
+
PRICE O
|
123 |
+
AMT(RM) O
|
124 |
+
ST-PRIVILEGE O
|
125 |
+
CARD/GD O
|
126 |
+
INDAH O
|
127 |
+
88888 O
|
128 |
+
1 O
|
129 |
+
10.00 O
|
130 |
+
GF-TABLE O
|
131 |
+
LAMP/STITCH O
|
132 |
+
<I> O
|
133 |
+
62483 O
|
134 |
+
55.90 O
|
135 |
+
@DISC O
|
136 |
+
10.00% O
|
137 |
+
-5.59 O
|
138 |
+
#TOTAL O
|
139 |
+
QTY O
|
140 |
+
2 O
|
141 |
+
TOTAL O
|
142 |
+
AMT................. O
|
143 |
+
RM O
|
144 |
+
60.31 O
|
145 |
+
ROUNDING O
|
146 |
+
ADJ............ O
|
147 |
+
-0.01 O
|
148 |
+
RM O
|
149 |
+
60.30 total
|
150 |
+
CASH.................... O
|
151 |
+
RM O
|
152 |
+
70.30 O
|
153 |
+
CHANGE.................. O
|
154 |
+
RM O
|
155 |
+
THANK O
|
156 |
+
YOU O
|
157 |
+
! O
|
158 |
+
PLEASE O
|
159 |
+
COME O
|
160 |
+
AGAIN O
|
161 |
+
! O
|
162 |
+
GOODS O
|
163 |
+
SOLD O
|
164 |
+
ARE O
|
165 |
+
NOT O
|
166 |
+
RETURNABLE O
|
167 |
+
THANK O
|
168 |
+
YOU O
|
169 |
+
! O
|
170 |
+
FLEASE O
|
171 |
+
COME O
|
172 |
+
AOSIN O
|
173 |
+
! O
|
174 |
+
DEALING O
|
175 |
+
IN O
|
176 |
+
WHOLESALE O
|
177 |
+
AND O
|
178 |
+
RETAIL. O
|
179 |
+
|
180 |
+
TAN O
|
181 |
+
WOON O
|
182 |
+
YANN O
|
183 |
+
MR company
|
184 |
+
D.T.Y. company
|
185 |
+
(JOHOR) company
|
186 |
+
SDN company
|
187 |
+
BHD company
|
188 |
+
(CO.REG O
|
189 |
+
: O
|
190 |
+
933109-X) O
|
191 |
+
LOT address
|
192 |
+
1851-A address
|
193 |
+
& address
|
194 |
+
1851-B address
|
195 |
+
address
|
196 |
+
JALAN address
|
197 |
+
KPB address
|
198 |
+
6 address
|
199 |
+
KAWASAN address
|
200 |
+
PERINDUSTRIAN address
|
201 |
+
BALAKONG address
|
202 |
+
43300 address
|
203 |
+
SERI address
|
204 |
+
KEMBANGAN address
|
205 |
+
address
|
206 |
+
SELANGOR address
|
207 |
+
(MR address
|
208 |
+
DIY address
|
209 |
+
TESCO address
|
210 |
+
TERBAU) address
|
211 |
+
-INVOICE- O
|
212 |
+
CHOPPING O
|
213 |
+
BOARD O
|
214 |
+
35.5X25.5CM O
|
215 |
+
803M# O
|
216 |
+
EZ10HD05 O
|
217 |
+
- O
|
218 |
+
24 O
|
219 |
+
8970669 O
|
220 |
+
1 O
|
221 |
+
X O
|
222 |
+
19.00 O
|
223 |
+
AIR O
|
224 |
+
PRESSURE O
|
225 |
+
SPRAYER O
|
226 |
+
SX-575-1 O
|
227 |
+
1.5L O
|
228 |
+
HC03-7 O
|
229 |
+
- O
|
230 |
+
15 O
|
231 |
+
9066468 O
|
232 |
+
8.02 O
|
233 |
+
WAXCO O
|
234 |
+
WINDSHILED O
|
235 |
+
CLEANER O
|
236 |
+
120ML O
|
237 |
+
WA14-3A O
|
238 |
+
- O
|
239 |
+
48 O
|
240 |
+
9557031100236 O
|
241 |
+
3.02 O
|
242 |
+
BOPP O
|
243 |
+
TAPE O
|
244 |
+
48MM*100M O
|
245 |
+
CLEAR O
|
246 |
+
FZ-04 O
|
247 |
+
- O
|
248 |
+
36 O
|
249 |
+
6935818350846 O
|
250 |
+
3.88 O
|
251 |
+
ITEM(S) O
|
252 |
+
: O
|
253 |
+
4 O
|
254 |
+
QTY(S) O
|
255 |
+
: O
|
256 |
+
4 O
|
257 |
+
TOTAL O
|
258 |
+
RM O
|
259 |
+
33.92 O
|
260 |
+
ROUNDING O
|
261 |
+
ADJUSTMENT O
|
262 |
+
-RM O
|
263 |
+
0.02 O
|
264 |
+
TOTAL O
|
265 |
+
ROUNDED O
|
266 |
+
RM total
|
267 |
+
33.90 total
|
268 |
+
CASH O
|
269 |
+
RM O
|
270 |
+
50.00 O
|
271 |
+
CHANGE O
|
272 |
+
RM O
|
273 |
+
16.10 O
|
274 |
+
12-01-19 date
|
275 |
+
21:13 date
|
276 |
+
SH01 date
|
277 |
+
ZK09 date
|
278 |
+
T4 O
|
279 |
+
R000027830 O
|
280 |
+
OPERATOR O
|
281 |
+
TRAINEE O
|
282 |
+
CASHIER O
|
283 |
+
EXCHANGE O
|
284 |
+
ARE O
|
285 |
+
ALLOWED O
|
286 |
+
WITHIN O
|
287 |
+
7 O
|
288 |
+
DAYS O
|
289 |
+
WITH O
|
290 |
+
RECEIPT. O
|
291 |
+
STRICTLY O
|
292 |
+
NO O
|
293 |
+
CASH O
|
294 |
+
REFUND. O
|
val.txt
ADDED
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
RESTORAN company
|
2 |
+
WAN company
|
3 |
+
SHENG company
|
4 |
+
002043319-W O
|
5 |
+
NO.2 address
|
6 |
+
address
|
7 |
+
JALAN address
|
8 |
+
TEMENGGUNG address
|
9 |
+
19/9 address
|
10 |
+
SEKSYEN address
|
11 |
+
9 address
|
12 |
+
address
|
13 |
+
BANDAR address
|
14 |
+
MAHKOTA address
|
15 |
+
CHERAS address
|
16 |
+
43200 address
|
17 |
+
CHERAS address
|
18 |
+
address
|
19 |
+
SELANGOR address
|
20 |
+
GST O
|
21 |
+
REG O
|
22 |
+
NO: O
|
23 |
+
001335787520 O
|
24 |
+
TAX O
|
25 |
+
INVOICE O
|
26 |
+
INV O
|
27 |
+
NO. O
|
28 |
+
: O
|
29 |
+
1085405 O
|
30 |
+
CASHIER: O
|
31 |
+
THANDAR O
|
32 |
+
DATE O
|
33 |
+
: date
|
34 |
+
09-04-2018 date
|
35 |
+
13:16:21 date
|
36 |
+
DESCRIPTION O
|
37 |
+
QTY O
|
38 |
+
U.PRICE O
|
39 |
+
TOTAL O
|
40 |
+
TAX O
|
41 |
+
TEH O
|
42 |
+
(B) O
|
43 |
+
1 O
|
44 |
+
X O
|
45 |
+
2.20 O
|
46 |
+
SR O
|
47 |
+
CHAM O
|
48 |
+
(B) O
|
49 |
+
HERBAL O
|
50 |
+
TEA O
|
51 |
+
2 O
|
52 |
+
X O
|
53 |
+
1.70 O
|
54 |
+
3.40 O
|
55 |
+
TAKE O
|
56 |
+
AWAY O
|
57 |
+
4 O
|
58 |
+
X O
|
59 |
+
0.20 O
|
60 |
+
0.80 O
|
61 |
+
TOTAL O
|
62 |
+
QTY: O
|
63 |
+
8 O
|
64 |
+
TOTAL O
|
65 |
+
(EXCLUDING O
|
66 |
+
GST): O
|
67 |
+
8.11 O
|
68 |
+
GST O
|
69 |
+
PAYABLE O
|
70 |
+
(6%): O
|
71 |
+
0.49 O
|
72 |
+
TOTAL O
|
73 |
+
(INCLUSIVE O
|
74 |
+
OF O
|
75 |
+
GST): O
|
76 |
+
8.60 total
|
77 |
+
TOTAL O
|
78 |
+
: O
|
79 |
+
CASH O
|
80 |
+
: O
|
81 |
+
GST O
|
82 |
+
SUMMARY O
|
83 |
+
AMOUNT(RM) O
|
84 |
+
TAX(RM) O
|
85 |
+
(@ O
|
86 |
+
6%) O
|