P
II
Tools Report
Object Details
Scan
HR files
Scan Type
s3
Location
pii-tools-public/csv/addresses-3.csv
Document Type
csv
PII Severity
2-HIGH
Object Size
8401
PII Counts
Personal
city: 78
country_code: 78
name: 4
PII Detected
Personal
city
[
count=
78
]
München
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 1}
context:
column `CITY`, neighbouring city rows: `Antioch1 Illino…`, `San Francisco`
Antioch1 Illinois
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 2}
context:
column `CITY`, neighbouring city rows: `München`, `San Francisco`, `San Francisco`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 3}
context:
column `CITY`, neighbouring city rows: `München`, `Antioch1 Illino…`, `San Francisco`, `San Francisco`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 4}
context:
column `CITY`, neighbouring city rows: `Antioch1 Illino…`, `San Francisco`, `San Francisco`, `New York`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 5}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `San Francisco`, `New York`, `San Francisco`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 6}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `San Francisco`, `San Francisco`, `Antioch Illinoi…`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 7}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `New York`, `Antioch Illinoi…`, `New York`
Antioch Illinois
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 8}
context:
column `CITY`, neighbouring city rows: `New York`, `San Francisco`, `New York`, `Antioch Illinoi…`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 9}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `Antioch Illinoi…`, `Antioch Illinoi…`, `London`
Antioch Illinois
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 10}
context:
column `CITY`, neighbouring city rows: `Antioch Illinoi…`, `New York`, `London`, `London`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 11}
context:
column `CITY`, neighbouring city rows: `New York`, `Antioch Illinoi…`, `London`, `London`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 12}
context:
column `CITY`, neighbouring city rows: `Antioch Illinoi…`, `London`, `London`, `Berlin`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 13}
context:
column `CITY`, neighbouring city rows: `London`, `London`, `Berlin`, `San Francisco`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 14}
context:
column `CITY`, neighbouring city rows: `London`, `London`, `San Francisco`, `London`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 15}
context:
column `CITY`, neighbouring city rows: `London`, `Berlin`, `London`, `Berlin`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 16}
context:
column `CITY`, neighbouring city rows: `Berlin`, `San Francisco`, `Berlin`, `Berlin`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 17}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `London`, `Berlin`, `San Francisco`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 18}
context:
column `CITY`, neighbouring city rows: `London`, `Berlin`, `San Francisco`, `San Francisco`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 19}
context:
column `CITY`, neighbouring city rows: `Berlin`, `Berlin`, `San Francisco`, `Berlin`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 20}
context:
column `CITY`, neighbouring city rows: `Berlin`, `San Francisco`, `Berlin`, `London`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 21}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `San Francisco`, `London`, `New York`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 22}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `Berlin`, `New York`, `New York`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 23}
context:
column `CITY`, neighbouring city rows: `Berlin`, `London`, `New York`, `New York`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 24}
context:
column `CITY`, neighbouring city rows: `London`, `New York`, `New York`, `Antioch Illinoi…`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 25}
context:
column `CITY`, neighbouring city rows: `New York`, `New York`, `Antioch Illinoi…`, `New York`
Antioch Illinois
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 26}
context:
column `CITY`, neighbouring city rows: `New York`, `New York`, `New York`, `San Francisco`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 27}
context:
column `CITY`, neighbouring city rows: `New York`, `Antioch Illinoi…`, `San Francisco`, `London`
San Francisco
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 28}
context:
column `CITY`, neighbouring city rows: `Antioch Illinoi…`, `New York`, `London`, `London`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 29}
context:
column `CITY`, neighbouring city rows: `New York`, `San Francisco`, `London`, `New York`
London
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 30}
context:
column `CITY`, neighbouring city rows: `San Francisco`, `London`, `New York`, `Paris La D‚fens…`
New York
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 31}
context:
column `CITY`, neighbouring city rows: `London`, `London`, `Paris La D‚fens…`, `Berlin`
Paris La D‚fense Cedex
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 32}
context:
column `CITY`, neighbouring city rows: `London`, `New York`, `Berlin`, `Walldorf`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 33}
context:
column `CITY`, neighbouring city rows: `New York`, `Paris La D‚fens…`, `Walldorf`, `Berlin`
Walldorf
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 34}
context:
column `CITY`, neighbouring city rows: `Paris La D‚fens…`, `Berlin`, `Berlin`, `Wilmington Dela…`
Berlin
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 35}
context:
column `CITY`, neighbouring city rows: `Berlin`, `Walldorf`, `Wilmington Dela…`, `Hannover`
Wilmington Delaware
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 36}
context:
column `CITY`, neighbouring city rows: `Walldorf`, `Berlin`, `Hannover`, `Hollywood Calif…`
Hannover
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 37}
context:
column `CITY`, neighbouring city rows: `Berlin`, `Wilmington Dela…`, `Hollywood Calif…`, `Muenster`
Hollywood California
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 38}
context:
column `CITY`, neighbouring city rows: `Wilmington Dela…`, `Hannover`, `Muenster`, `Tokyo`
Muenster
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 39}
context:
column `CITY`, neighbouring city rows: `Hannover`, `Hollywood Calif…`, `Tokyo`, `Paris`
Tokyo
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 40}
context:
column `CITY`, neighbouring city rows: `Hollywood Calif…`, `Muenster`, `Paris`, `Mexiko City`
Paris
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 41}
context:
column `CITY`, neighbouring city rows: `Muenster`, `Tokyo`, `Mexiko City`, `Buenos Aires`
Mexiko City
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 42}
context:
column `CITY`, neighbouring city rows: `Tokyo`, `Paris`, `Buenos Aires`, `Atlanta Georgia`
Buenos Aires
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 43}
context:
column `CITY`, neighbouring city rows: `Paris`, `Mexiko City`, `Atlanta Georgia`, `Salzburg`
Atlanta Georgia
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 44}
context:
column `CITY`, neighbouring city rows: `Mexiko City`, `Buenos Aires`, `Salzburg`, `Manchester`
Salzburg
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 45}
context:
column `CITY`, neighbouring city rows: `Buenos Aires`, `Atlanta Georgia`, `Manchester`, `Bremen`
Manchester
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 46}
context:
column `CITY`, neighbouring city rows: `Atlanta Georgia`, `Salzburg`, `Bremen`, `Bismarck North…`
Bremen
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 47}
context:
column `CITY`, neighbouring city rows: `Salzburg`, `Manchester`, `Bismarck North…`, `Quebec`
Bismarck North Dakota
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 48}
context:
column `CITY`, neighbouring city rows: `Manchester`, `Bremen`, `Quebec`, `Puebla`
Quebec
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 49}
context:
column `CITY`, neighbouring city rows: `Bremen`, `Bismarck North…`, `Puebla`, `Köln`
Puebla
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 50}
context:
column `CITY`, neighbouring city rows: `Bismarck North…`, `Quebec`, `Köln`, `Mendoza`
Köln
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 51}
context:
column `CITY`, neighbouring city rows: `Quebec`, `Puebla`, `Mendoza`, `Lyon`
Mendoza
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 52}
context:
column `CITY`, neighbouring city rows: `Puebla`, `Köln`, `Lyon`, `Moskau`
Lyon
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 53}
context:
column `CITY`, neighbouring city rows: `Köln`, `Mendoza`, `Moskau`, `Jacksonville Fl…`
Moskau
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 54}
context:
column `CITY`, neighbouring city rows: `Mendoza`, `Lyon`, `Jacksonville Fl…`, `Madrid`
Jacksonville Florida
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 55}
context:
column `CITY`, neighbouring city rows: `Lyon`, `Moskau`, `Madrid`, `München`
Madrid
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 56}
context:
column `CITY`, neighbouring city rows: `Moskau`, `Jacksonville Fl…`, `München`, `Sapporo`
München
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 57}
context:
column `CITY`, neighbouring city rows: `Jacksonville Fl…`, `Madrid`, `Sapporo`, `Rom`
Sapporo
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 58}
context:
column `CITY`, neighbouring city rows: `Madrid`, `München`, `Rom`, `Paris`
Rom
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 59}
context:
column `CITY`, neighbouring city rows: `München`, `Sapporo`, `Paris`, `Santa Fe`
Paris
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 60}
context:
column `CITY`, neighbouring city rows: `Sapporo`, `Rom`, `Santa Fe`, `Rio de Janeiro`
Santa Fe
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 61}
context:
column `CITY`, neighbouring city rows: `Rom`, `Paris`, `Rio de Janeiro`, `Montreal`
Rio de Janeiro
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 62}
context:
column `CITY`, neighbouring city rows: `Paris`, `Santa Fe`, `Montreal`, `Zürich`
Montreal
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 63}
context:
column `CITY`, neighbouring city rows: `Santa Fe`, `Rio de Janeiro`, `Zürich`, `Dallas Texas`
Zürich
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 64}
context:
column `CITY`, neighbouring city rows: `Rio de Janeiro`, `Montreal`, `Dallas Texas`, `Paris`
Dallas Texas
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 65}
context:
column `CITY`, neighbouring city rows: `Montreal`, `Zürich`, `Paris`, `Chicago Illinoi…`
Paris
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 66}
context:
column `CITY`, neighbouring city rows: `Zürich`, `Dallas Texas`, `Chicago Illinoi…`, `Tokyo`
Chicago Illinois
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 67}
context:
column `CITY`, neighbouring city rows: `Dallas Texas`, `Paris`, `Tokyo`, `Buenos Aires`
Tokyo
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 68}
context:
column `CITY`, neighbouring city rows: `Paris`, `Chicago Illinoi…`, `Buenos Aires`, `Johannesburg`
Buenos Aires
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 69}
context:
column `CITY`, neighbouring city rows: `Chicago Illinoi…`, `Tokyo`, `Johannesburg`, `New York City`
Johannesburg
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 70}
context:
column `CITY`, neighbouring city rows: `Tokyo`, `Buenos Aires`, `New York City`, `Bühl`
New York City
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 71}
context:
column `CITY`, neighbouring city rows: `Buenos Aires`, `Johannesburg`, `Bühl`, `Mumbai`
Bühl
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 72}
context:
column `CITY`, neighbouring city rows: `Johannesburg`, `New York City`, `Mumbai`, `Warschau`
Mumbai
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 73}
context:
column `CITY`, neighbouring city rows: `New York City`, `Bühl`, `Warschau`, `Cordoba`
Warschau
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 74}
context:
column `CITY`, neighbouring city rows: `Bühl`, `Mumbai`, `Cordoba`, `Shanghai`
Cordoba
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 75}
context:
column `CITY`, neighbouring city rows: `Mumbai`, `Warschau`, `Shanghai`, `Kopenhagen`
Shanghai
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 76}
context:
column `CITY`, neighbouring city rows: `Warschau`, `Cordoba`, `Kopenhagen`, `Karlsruhe`
Kopenhagen
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 77}
context:
column `CITY`, neighbouring city rows: `Cordoba`, `Shanghai`, `Karlsruhe`
Karlsruhe
confidence:
1.0
position:
{"char": 0, "col": 1, "row": 78}
context:
column `CITY`, neighbouring city rows: `Shanghai`, `Kopenhagen`
country_code
[
count=
78
]
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 1}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 2}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 3}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 4}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 5}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 6}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 7}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 8}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 9}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `GB`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 10}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `GB`, `GB`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 11}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `GB`, `GB`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 12}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `GB`, `GB`, `DE`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 13}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `GB`, `DE`, `US`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 14}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `GB`, `US`, `GB`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 15}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `DE`, `GB`, `DE`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 16}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `DE`, `DE`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 17}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `GB`, `DE`, `US`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 18}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `DE`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 19}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `DE`, `US`, `DE`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 20}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `DE`, `GB`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 21}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `GB`, `US`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 22}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `DE`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 23}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `GB`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 24}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 25}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 26}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `US`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 27}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `US`, `GB`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 28}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `GB`, `GB`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 29}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `US`, `GB`, `US`
GB
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 30}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `GB`, `US`, `FR`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 31}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `GB`, `FR`, `DE`
FR
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 32}
context:
column `COUNTRY`, neighbouring country_code rows: `GB`, `US`, `DE`, `DE`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 33}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `FR`, `DE`, `DE`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 34}
context:
column `COUNTRY`, neighbouring country_code rows: `FR`, `DE`, `DE`, `US`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 35}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `DE`, `US`, `DE`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 36}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `DE`, `DE`, `US`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 37}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `US`, `DE`
US
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 38}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `DE`, `DE`, `JP`
DE
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 39}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `US`, `JP`, `FR`
JP
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 40}
context:
column `COUNTRY`, neighbouring country_code rows: `US`, `DE`, `FR`, `MX`
FR
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 41}
context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `JP`, `MX`, `AR`
MX
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 42}
context:
column `COUNTRY`, neighbouring country_code rows: `JP`, `FR`, `AR`, `US`
AR
confidence:
1.0
position:
{"char": 0, "col": 5, "row": 43}
context:
column `COUNTRY`, neighbouring country_code rows: `FR`, `MX`, `US`, `AT`
US
confidence:
1.0
position:
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AT
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context:
column `COUNTRY`, neighbouring country_code rows: `AR`, `US`, `GB`, `DE`
GB
confidence:
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context:
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DE
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context:
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US
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CA
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context:
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MX
confidence:
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position:
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context:
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confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `CA`, `MX`, `AR`, `FR`
AR
confidence:
1.0
position:
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context:
column `COUNTRY`, neighbouring country_code rows: `MX`, `DE`, `FR`, `RU`
FR
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `AR`, `RU`, `US`
RU
confidence:
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position:
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context:
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US
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `FR`, `RU`, `ES`, `DE`
ES
confidence:
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column `COUNTRY`, neighbouring country_code rows: `RU`, `US`, `DE`, `JP`
DE
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `US`, `ES`, `JP`, `IT`
JP
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `ES`, `DE`, `IT`, `FR`
IT
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CH
confidence:
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US
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `CA`, `CH`, `FR`, `US`
FR
confidence:
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context:
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confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `US`, `FR`, `JP`, `AR`
JP
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `FR`, `US`, `AR`, `ZA`
AR
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `US`, `JP`, `ZA`, `US`
ZA
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `JP`, `AR`, `US`, `DE`
US
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `AR`, `ZA`, `DE`, `IN`
DE
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `ZA`, `US`, `IN`, `PL`
IN
confidence:
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context:
column `COUNTRY`, neighbouring country_code rows: `US`, `DE`, `PL`, `AR`
PL
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `DE`, `IN`, `AR`, `CN`
AR
confidence:
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position:
{"char": 0, "col": 5, "row": 75}
context:
column `COUNTRY`, neighbouring country_code rows: `IN`, `PL`, `CN`, `DK`
CN
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `PL`, `AR`, `DK`, `DE`
DK
confidence:
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position:
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context:
column `COUNTRY`, neighbouring country_code rows: `AR`, `CN`, `DE`
DE
confidence:
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position:
{"char": 0, "col": 5, "row": 78}
context:
column `COUNTRY`, neighbouring country_code rows: `CN`, `DK`
name
[
count=
4
]
Dunwoody Xing
confidence:
1.0
position:
{"char": 0, "col": 3, "row": 44}
context:
column `STREET`, neighbouring rows: `Bosque de Duraz…`, `Av. Libertador`, `Arnold Schwarze…`, `Kelley Street`
Pierre Scize
confidence:
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position:
{"char": 8, "col": 3, "row": 53}
context:
column `STREET`: Quai de Pierre Scize
Ambrosio Olmos
confidence:
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position:
{"char": 4, "col": 3, "row": 75}
context:
column `STREET`: Av. Ambrosio Olmos
Shui Dian
confidence:
1.0
position:
{"char": 0, "col": 3, "row": 76}
context:
column `STREET`, neighbouring rows: `Koszykowa`, `Av. Ambrosio Ol…`, `Stockholmsgade`, `Rubensstraße`
Storage metadata
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owner
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filename
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filesize
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location
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file_hash
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content_type
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storage_type
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last_modified
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