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Saudi pii pack #28

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merged 9 commits into from
Nov 23, 2023
Merged

Saudi pii pack #28

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8dc8b37
added iqama
0x4f53 Nov 23, 2023
8dd45a0
added saudi driver's license
0x4f53 Nov 23, 2023
4652426
added saudi visa
0x4f53 Nov 23, 2023
0ac64b1
added tawuniya health insurance
0x4f53 Nov 23, 2023
4afe9ad
added spacy to requirements.txt
0x4f53 Nov 23, 2023
328c7fc
fixed a runner exception
0x4f53 Nov 23, 2023
3edf140
fixed a runner exception
0x4f53 Nov 23, 2023
a8ed80c
fixed a runner exception #2
0x4f53 Nov 23, 2023
0ec2088
simplified exception handling code
0x4f53 Nov 23, 2023
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0 .github/workflows/github-actions-demo.yml → .github/workflows/github-action.yml
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54 changes: 54 additions & 0 deletions definitions.json
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Original file line number Diff line number Diff line change
Expand Up @@ -151,6 +151,60 @@
"<<<<"
]
},
"Resident Identity (Iqama)": {
"regex":null,
"region":"Saudi Arabia",
"keywords":[
"Kingdom",
"Saudi",
"Arabia",
"Ministry",
"Interior",
"Permit",
"Iqama",
"Residen",
"Identity"
]
},
"Saudi Driver's License": {
"regex":"\b[0-9]{10}\b",
"region":"Saudi Arabia",
"keywords":[
"Kingdom",
"Saudi",
"Arabia",
"Ministry",
"Interior",
"Driving",
"License"
]
},
"Saudi Arabian Visa": {
"regex":"(?:V<SAU)(?:[A-Z0-9<].+)",
"region":"Saudi Arabia",
"keywords":[
"Visa",
"Saudi Arabia",
"V<SAU",
"<<<<",
"Entries",
"Permitted",
"Work",
"Validity"
]
},
"Tawuniya Health Insurance": {
"regex":"\b[0-9]{5}\b",
"region":"Saudi Arabia",
"keywords":[
"Tawuniya",
"Policy",
"Holder",
"Number",
"Deductible",
"Approval"
]
},
"Nebraska Driver's License": {
"regex":"[A-Z]{1}[0-9]{9,11}",
"region":"United States",
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1 change: 1 addition & 0 deletions requirements.txt
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Expand Up @@ -17,3 +17,4 @@ nltk
bs4
requests
geotext
spacy
13 changes: 10 additions & 3 deletions text_utils.py
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Expand Up @@ -94,9 +94,16 @@ def regional_pii(text):
from nltk import word_tokenize, pos_tag, ne_chunk
from nltk.corpus import stopwords

if not nltk.data.find('tokenizers/punkt'): nltk.download('punkt')
if not nltk.data.find('chunkers/maxent_ne_chunker'): nltk.download('maxent_ne_chunker')
if not nltk.data.find('corpora/words.zip'): nltk.download('words')
resources = ["punkt", "maxent_ne_chunker", "stopwords", "words", "averaged_perceptron_tagger"]

try:
nltk_resources = ["tokenizers/punkt", "chunkers/maxent_ne_chunker", "corpora/words.zip"]
for resource in nltk_resources:
if not nltk.data.find(resource): raise LookupError()
except LookupError:
for resource in resources:
nltk.download(resource)

stop_words = set(stopwords.words('english'))

words = word_tokenize(text)
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