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Datasets:
beki
/
privy

Tasks:
Token Classification
Sub-tasks:
named-entity-recognition
Languages:
English
Tags:
pii-detection
License:
Dataset card Files Community
3
beki commited on
Commit
c40bd25
·
1 Parent(s): 5de43e2

Update privy.py

Browse files
Files changed (1) hide show
  1. privy.py +334 -166
privy.py CHANGED
@@ -46,172 +46,340 @@ class Privy(datasets.GeneratorBasedBuilder):
46
  DEFAULT_CONFIG_NAME = "small"
47
 
48
  def _info(self):
49
- features = datasets.Features(
50
- {
51
- "full_text": datasets.Value("string"),
52
- "masked": datasets.Value("string"),
53
- "spans": datasets.Sequence(datasets.Value("string")),
54
- "tags": datasets.Sequence(
55
- datasets.features.ClassLabel(
56
- names=[
57
- "O",
58
- "B-O",
59
- "I-O",
60
- "L-O",
61
- "U-O",
62
-
63
- "B-PER",
64
- "I-PER",
65
- "L-PER",
66
- "U-PER",
67
-
68
- "B-LOC",
69
- "I-LOC",
70
- "L-LOC",
71
- "U-LOC",
72
-
73
- "B-ORG",
74
- "I-ORG",
75
- "L-ORG",
76
- "U-ORG",
77
-
78
- "B-NRP",
79
- "I-NRP",
80
- "L-NRP",
81
- "U-NRP",
82
-
83
- "B-DATE_TIME",
84
- "I-DATE_TIME",
85
- "L-DATE_TIME",
86
- "U-DATE_TIME",
87
-
88
- "B-CREDIT_CARD",
89
- "I-CREDIT_CARD",
90
- "L-CREDIT_CARD",
91
- "U-CREDIT_CARD",
92
-
93
- "B-URL",
94
- "I-URL",
95
- "L-URL",
96
- "U-URL",
97
-
98
- "B-IBAN_CODE",
99
- "I-IBAN_CODE",
100
- "L-IBAN_CODE",
101
- "U-IBAN_CODE",
102
-
103
- "B-US_BANK_NUMBER",
104
- "I-US_BANK_NUMBER",
105
- "L-US_BANK_NUMBER",
106
- "U-US_BANK_NUMBER",
107
-
108
- "B-PHONE_NUMBER",
109
- "I-PHONE_NUMBER",
110
- "L-PHONE_NUMBER",
111
- "U-PHONE_NUMBER",
112
-
113
- "B-US_SSN",
114
- "I-US_SSN",
115
- "L-US_SSN",
116
- "U-US_SSN",
117
-
118
- "B-US_PASSPORT",
119
- "I-US_PASSPORT",
120
- "L-US_PASSPORT",
121
- "U-US_PASSPORT",
122
-
123
- "B-US_DRIVER_LICENSE",
124
- "I-US_DRIVER_LICENSE",
125
- "L-US_DRIVER_LICENSE",
126
- "U-US_DRIVER_LICENSE",
127
-
128
- "B-US_LICENSE_PLATE",
129
- "I-US_LICENSE_PLATE",
130
- "L-US_LICENSE_PLATE",
131
- "U-US_LICENSE_PLATE",
132
-
133
- "B-IP_ADDRESS",
134
- "I-IP_ADDRESS",
135
- "L-IP_ADDRESS",
136
- "U-IP_ADDRESS",
137
-
138
- "B-US_ITIN",
139
- "I-US_ITIN",
140
- "L-US_ITIN",
141
- "U-US_ITIN",
142
-
143
- "B-EMAIL_ADDRESS",
144
- "I-EMAIL_ADDRESS",
145
- "L-EMAIL_ADDRESS",
146
- "U-EMAIL_ADDRESS",
147
-
148
- "B-ORGANIZATION",
149
- "I-ORGANIZATION",
150
- "L-ORGANIZATION",
151
- "U-ORGANIZATION",
152
-
153
- "B-TITLE",
154
- "I-TITLE",
155
- "L-TITLE",
156
- "U-TITLE",
157
-
158
- "B-COORDINATE",
159
- "I-COORDINATE",
160
- "L-COORDINATE",
161
- "U-COORDINATE",
162
-
163
- "B-IMEI",
164
- "I-IMEI",
165
- "L-IMEI",
166
- "U-IMEI",
167
-
168
- "B-PASSWORD",
169
- "I-PASSWORD",
170
- "L-PASSWORD",
171
- "U-PASSWORD",
172
-
173
- "B-LICENSE_PLATE",
174
- "I-LICENSE_PLATE",
175
- "L-LICENSE_PLATE",
176
- "U-LICENSE_PLATE",
177
-
178
- "B-CURRENCY",
179
- "I-CURRENCY",
180
- "L-CURRENCY",
181
- "U-CURRENCY",
182
-
183
- "B-FINANCIAL",
184
- "I-FINANCIAL",
185
- "L-FINANCIAL",
186
- "U-FINANCIAL",
187
-
188
- "B-ROUTING_NUMBER",
189
- "I-ROUTING_NUMBER",
190
- "L-ROUTING_NUMBER",
191
- "U-ROUTING_NUMBER",
192
-
193
- "B-SWIFT_CODE",
194
- "I-SWIFT_CODE",
195
- "L-SWIFT_CODE",
196
- "U-SWIFT_CODE",
197
-
198
- "B-MAC_ADDRESS",
199
- "I-MAC_ADDRESS",
200
- "L-MAC_ADDRESS",
201
- "U-MAC_ADDRESS",
202
-
203
- "B-AGE",
204
- "I-AGE",
205
- "L-AGE",
206
- "U-AGE",
207
- ]
208
- )
209
- ),
210
- "tokens": datasets.Sequence(datasets.Value("string")),
211
- "template_id": datasets.Value("int32"),
212
- "metadata": datasets.Value("int32"),
213
- }
214
- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
215
 
216
  return datasets.DatasetInfo(
217
  description=_DESCRIPTION,
 
46
  DEFAULT_CONFIG_NAME = "small"
47
 
48
  def _info(self):
49
+ if self.config.name == "large":
50
+ features = datasets.Features(
51
+ {
52
+ "full_text": datasets.Value("string"),
53
+ "masked": datasets.Value("string"),
54
+ "spans": datasets.Sequence(datasets.Value("string")),
55
+ "tags": datasets.Sequence(
56
+ datasets.features.ClassLabel(
57
+ names=[
58
+ "O",
59
+ "B-O",
60
+ "I-O",
61
+ "L-O",
62
+ "U-O",
63
+
64
+ "B-PERSON",
65
+ "I-PERSON",
66
+ "L-PERSON",
67
+ "U-PERSON",
68
+
69
+ "B-LOCATION",
70
+ "I-LOCATION",
71
+ "L-LOCATION",
72
+ "U-LOCATION",
73
+
74
+ "B-ORGANIZATION",
75
+ "I-ORGANIZATION",
76
+ "L-ORGANIZATION",
77
+ "U-ORGANIZATION",
78
+
79
+ "B-NRP",
80
+ "I-NRP",
81
+ "L-NRP",
82
+ "U-NRP",
83
+
84
+ "B-DATE_TIME",
85
+ "I-DATE_TIME",
86
+ "L-DATE_TIME",
87
+ "U-DATE_TIME",
88
+
89
+ "B-CREDIT_CARD",
90
+ "I-CREDIT_CARD",
91
+ "L-CREDIT_CARD",
92
+ "U-CREDIT_CARD",
93
+
94
+ "B-URL",
95
+ "I-URL",
96
+ "L-URL",
97
+ "U-URL",
98
+
99
+ "B-IBAN_CODE",
100
+ "I-IBAN_CODE",
101
+ "L-IBAN_CODE",
102
+ "U-IBAN_CODE",
103
+
104
+ "B-US_BANK_NUMBER",
105
+ "I-US_BANK_NUMBER",
106
+ "L-US_BANK_NUMBER",
107
+ "U-US_BANK_NUMBER",
108
+
109
+ "B-PHONE_NUMBER",
110
+ "I-PHONE_NUMBER",
111
+ "L-PHONE_NUMBER",
112
+ "U-PHONE_NUMBER",
113
+
114
+ "B-US_SSN",
115
+ "I-US_SSN",
116
+ "L-US_SSN",
117
+ "U-US_SSN",
118
+
119
+ "B-US_PASSPORT",
120
+ "I-US_PASSPORT",
121
+ "L-US_PASSPORT",
122
+ "U-US_PASSPORT",
123
+
124
+ "B-US_DRIVER_LICENSE",
125
+ "I-US_DRIVER_LICENSE",
126
+ "L-US_DRIVER_LICENSE",
127
+ "U-US_DRIVER_LICENSE",
128
+
129
+ "B-US_LICENSE_PLATE",
130
+ "I-US_LICENSE_PLATE",
131
+ "L-US_LICENSE_PLATE",
132
+ "U-US_LICENSE_PLATE",
133
+
134
+ "B-IP_ADDRESS",
135
+ "I-IP_ADDRESS",
136
+ "L-IP_ADDRESS",
137
+ "U-IP_ADDRESS",
138
+
139
+ "B-US_ITIN",
140
+ "I-US_ITIN",
141
+ "L-US_ITIN",
142
+ "U-US_ITIN",
143
+
144
+ "B-EMAIL_ADDRESS",
145
+ "I-EMAIL_ADDRESS",
146
+ "L-EMAIL_ADDRESS",
147
+ "U-EMAIL_ADDRESS",
148
+
149
+ "B-ORGANIZATION",
150
+ "I-ORGANIZATION",
151
+ "L-ORGANIZATION",
152
+ "U-ORGANIZATION",
153
+
154
+ "B-TITLE",
155
+ "I-TITLE",
156
+ "L-TITLE",
157
+ "U-TITLE",
158
+
159
+ "B-COORDINATE",
160
+ "I-COORDINATE",
161
+ "L-COORDINATE",
162
+ "U-COORDINATE",
163
+
164
+ "B-IMEI",
165
+ "I-IMEI",
166
+ "L-IMEI",
167
+ "U-IMEI",
168
+
169
+ "B-PASSWORD",
170
+ "I-PASSWORD",
171
+ "L-PASSWORD",
172
+ "U-PASSWORD",
173
+
174
+ "B-LICENSE_PLATE",
175
+ "I-LICENSE_PLATE",
176
+ "L-LICENSE_PLATE",
177
+ "U-LICENSE_PLATE",
178
+
179
+ "B-CURRENCY",
180
+ "I-CURRENCY",
181
+ "L-CURRENCY",
182
+ "U-CURRENCY",
183
+
184
+ "B-FINANCIAL",
185
+ "I-FINANCIAL",
186
+ "L-FINANCIAL",
187
+ "U-FINANCIAL",
188
+
189
+ "B-ROUTING_NUMBER",
190
+ "I-ROUTING_NUMBER",
191
+ "L-ROUTING_NUMBER",
192
+ "U-ROUTING_NUMBER",
193
+
194
+ "B-SWIFT_CODE",
195
+ "I-SWIFT_CODE",
196
+ "L-SWIFT_CODE",
197
+ "U-SWIFT_CODE",
198
+
199
+ "B-MAC_ADDRESS",
200
+ "I-MAC_ADDRESS",
201
+ "L-MAC_ADDRESS",
202
+ "U-MAC_ADDRESS",
203
+
204
+ "B-AGE",
205
+ "I-AGE",
206
+ "L-AGE",
207
+ "U-AGE",
208
+ ]
209
+ )
210
+ ),
211
+ "tokens": datasets.Sequence(datasets.Value("string")),
212
+ "template_id": datasets.Value("int32"),
213
+ "metadata": datasets.Value("int32"),
214
+ }
215
+ )
216
+ if self.config.name == "small":
217
+ features = datasets.Features(
218
+ {
219
+ "full_text": datasets.Value("string"),
220
+ "masked": datasets.Value("string"),
221
+ "spans": datasets.Sequence(datasets.Value("string")),
222
+ "tags": datasets.Sequence(
223
+ datasets.features.ClassLabel(
224
+ names=[
225
+ "O",
226
+ "B-O",
227
+ "I-O",
228
+ "L-O",
229
+ "U-O",
230
+
231
+ "B-PER",
232
+ "I-PER",
233
+ "L-PER",
234
+ "U-PER",
235
+
236
+ "B-LOC",
237
+ "I-LOC",
238
+ "L-LOC",
239
+ "U-LOC",
240
+
241
+ "B-ORG",
242
+ "I-ORG",
243
+ "L-ORG",
244
+ "U-ORG",
245
+
246
+ "B-NRP",
247
+ "I-NRP",
248
+ "L-NRP",
249
+ "U-NRP",
250
+
251
+ "B-DATE_TIME",
252
+ "I-DATE_TIME",
253
+ "L-DATE_TIME",
254
+ "U-DATE_TIME",
255
+
256
+ "B-CREDIT_CARD",
257
+ "I-CREDIT_CARD",
258
+ "L-CREDIT_CARD",
259
+ "U-CREDIT_CARD",
260
+
261
+ "B-URL",
262
+ "I-URL",
263
+ "L-URL",
264
+ "U-URL",
265
+
266
+ "B-IBAN_CODE",
267
+ "I-IBAN_CODE",
268
+ "L-IBAN_CODE",
269
+ "U-IBAN_CODE",
270
+
271
+ "B-US_BANK_NUMBER",
272
+ "I-US_BANK_NUMBER",
273
+ "L-US_BANK_NUMBER",
274
+ "U-US_BANK_NUMBER",
275
+
276
+ "B-PHONE_NUMBER",
277
+ "I-PHONE_NUMBER",
278
+ "L-PHONE_NUMBER",
279
+ "U-PHONE_NUMBER",
280
+
281
+ "B-US_SSN",
282
+ "I-US_SSN",
283
+ "L-US_SSN",
284
+ "U-US_SSN",
285
+
286
+ "B-US_PASSPORT",
287
+ "I-US_PASSPORT",
288
+ "L-US_PASSPORT",
289
+ "U-US_PASSPORT",
290
+
291
+ "B-US_DRIVER_LICENSE",
292
+ "I-US_DRIVER_LICENSE",
293
+ "L-US_DRIVER_LICENSE",
294
+ "U-US_DRIVER_LICENSE",
295
+
296
+ "B-US_LICENSE_PLATE",
297
+ "I-US_LICENSE_PLATE",
298
+ "L-US_LICENSE_PLATE",
299
+ "U-US_LICENSE_PLATE",
300
+
301
+ "B-IP_ADDRESS",
302
+ "I-IP_ADDRESS",
303
+ "L-IP_ADDRESS",
304
+ "U-IP_ADDRESS",
305
+
306
+ "B-US_ITIN",
307
+ "I-US_ITIN",
308
+ "L-US_ITIN",
309
+ "U-US_ITIN",
310
+
311
+ "B-EMAIL_ADDRESS",
312
+ "I-EMAIL_ADDRESS",
313
+ "L-EMAIL_ADDRESS",
314
+ "U-EMAIL_ADDRESS",
315
+
316
+ "B-ORGANIZATION",
317
+ "I-ORGANIZATION",
318
+ "L-ORGANIZATION",
319
+ "U-ORGANIZATION",
320
+
321
+ "B-TITLE",
322
+ "I-TITLE",
323
+ "L-TITLE",
324
+ "U-TITLE",
325
+
326
+ "B-COORDINATE",
327
+ "I-COORDINATE",
328
+ "L-COORDINATE",
329
+ "U-COORDINATE",
330
+
331
+ "B-IMEI",
332
+ "I-IMEI",
333
+ "L-IMEI",
334
+ "U-IMEI",
335
+
336
+ "B-PASSWORD",
337
+ "I-PASSWORD",
338
+ "L-PASSWORD",
339
+ "U-PASSWORD",
340
+
341
+ "B-LICENSE_PLATE",
342
+ "I-LICENSE_PLATE",
343
+ "L-LICENSE_PLATE",
344
+ "U-LICENSE_PLATE",
345
+
346
+ "B-CURRENCY",
347
+ "I-CURRENCY",
348
+ "L-CURRENCY",
349
+ "U-CURRENCY",
350
+
351
+ "B-FINANCIAL",
352
+ "I-FINANCIAL",
353
+ "L-FINANCIAL",
354
+ "U-FINANCIAL",
355
+
356
+ "B-ROUTING_NUMBER",
357
+ "I-ROUTING_NUMBER",
358
+ "L-ROUTING_NUMBER",
359
+ "U-ROUTING_NUMBER",
360
+
361
+ "B-SWIFT_CODE",
362
+ "I-SWIFT_CODE",
363
+ "L-SWIFT_CODE",
364
+ "U-SWIFT_CODE",
365
+
366
+ "B-MAC_ADDRESS",
367
+ "I-MAC_ADDRESS",
368
+ "L-MAC_ADDRESS",
369
+ "U-MAC_ADDRESS",
370
+
371
+ "B-AGE",
372
+ "I-AGE",
373
+ "L-AGE",
374
+ "U-AGE",
375
+ ]
376
+ )
377
+ ),
378
+ "tokens": datasets.Sequence(datasets.Value("string")),
379
+ "template_id": datasets.Value("int32"),
380
+ "metadata": datasets.Value("int32"),
381
+ }
382
+ )
383
 
384
  return datasets.DatasetInfo(
385
  description=_DESCRIPTION,