text
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### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
R&D QUALITY IMPROVEMENT
SUGGESTION/SOLUTION FORM
Nane/Phone Ext.: M. Hamann, P, Harper, P, Martinez Date: __9/3/92
Supervisor/Manager: J. S. Wigand RED Group: _Licensee
Suggestion:
Discontinue coal retention analyses on licensee submitted
product sauples. (Note: Coal Retention testing is not
performed by most licensees. Other B&W physical
Toasurenents as ends stability and inspection for soft
spots in cigarettes are thought to be sufficient measures
to assure cigarctte physical integrity. The proposed
action will increase laboratory productivity.)
Suggested Solution(s): Delete coal retention from the list of standard
analyses performed on licensee submitted
Product sanples. Speciel requests for coat
Zetention testing could still be submitted on
an exception basis.
Have you contacted your Manager/Supervisor? Yes No
Manager Connents: Manager, please contact suggester and forward
comments to the Quality Council.
aip-w
597005708
### RESPONSE:
[
{
"fld_name" : "Nane/Phone Ext.",
"fld_value" : "M. Hamann, P, Harper, P, Martinez",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Date",
"fld_value" : "9/3/92",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Supervisor/Manager",
"fld_value" : "J. S. Wigand",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "RED Group",
"fld_value" : "Licensee",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Suggestion",
"fld_value" : "Discontinue coal retention analyses on licensee submitted product sauples. (Note: Coal Retention testing is not performed by most licensees. Other B&W physical Toasurenents as ends stability and inspection for soft spots in cigarettes are thought to be sufficient measures to assure cigarctte physical integrity. The proposed action will increase laboratory productivity.)",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Suggested Solution(s)",
"fld_value" : "Delete coal retention from the list of standard analyses performed on licensee submitted Product sanples. Speciel requests for coat Zetention testing could still be submitted on an exception basis.",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Have you contacted your Manager/Supervisor?",
"fld_value" : "Yes No",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
},
{
"fld_name" : "Manager Connents",
"fld_value" : "Manager, please contact suggester and forward comments to the Quality Council.",
"path" : ["R&D QUALITY IMPROVEMENT", "SUGGESTION/SOLUTION FORM"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Page 1 of 10
RESTRICTED
BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO
PRODUCT SPECIFICATION
Brand: __puoENrx Conpany: _B.A.T. CYPRUS
style: Hus - KE Country: “cyPRUS
Licensee Rel, Now: Markel
Place of Manufacture: NICOSIA
CIGARETTE MAKING
Physical Characteristics Weights
overall cigarette Length Total Cigt. we. 978 mq
Tobacco Rod Length
Filter Plug Lengtn Ret Wet Tobacco 749 ng
Filter Plug Pressure prop (unencap.)
Filter Plug Pressure Drop (encap.)
Cigarette Circumference
total Pressure Drop (unencap.)
Total Pressure Drop (encap.)
‘Tipping Length
Print Position (from filter end)
Moisture Content (ex-catcher)
Filter ventilation Rate
Net Tob. Rod Density 245 _n9/cc
Tippin ing Application
Tipping Paper: Adhesive:
Supplier(s) Ecusta Supplier(s) _ swift,
Supplier Code Nols). _E.30639 Supplier code No(s). T.K.9220
color Thi tation Cork Type Printed imitation Cork
Pecforation type
and No. of lines __None
Application pattern:
Porosity =
Print peseription __Brows on yellow
(eoresta)
‘Overall __x_ Skip other
Bobbin width 30 am rm Glue Pree Area: N/A
Bobbin Length 2700 ‘2 Dimension mn x nm
substance 36 Give? positioning mn fron mouth ene
(indicate N/A Tf Not applicable)
Prepared by: ___M. HAMERTON / enm
pate: may 1, 1985
Approved by:
Dicector of Technical operations,
Brown & Williancon International
pate: ___May 2, 1985 ‘Tobacco
Replaces: __New pate: May 1, 1985
oso4s,
620419245
### RESPONSE:
[
{
"fld_name" : "Brand",
"fld_value" : "puoENrx",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Company",
"fld_value" : "B.A.T. CYPRUS",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Style",
"fld_value" : "Hus - KE",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Country",
"fld_value" : "cyPRUS",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Licensee Rel, Now",
"fld_value" : "Markel",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Place of Manufacture",
"fld_value" : "NICOSIA",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Total Cigt. we.",
"fld_value" : "978 mq",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Physical Characteristics Weights"]
},
{
"fld_name" : "Ret Wet Tobacco",
"fld_value" : "749 ng",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Physical Characteristics Weights"]
},
{
"fld_name" : "Net Tob. Rod Density",
"fld_value" : "245 _n9/cc",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Physical Characteristics Weights"]
},
{
"fld_name" : "Supplier(s)",
"fld_value" : "Ecusta",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Tippin ing Application"]
},
{
"fld_name" : "Supplier Code No(s).",
"fld_value" : "E.30639",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Tippin ing Application"]
},
{
"fld_name" : "Supplier(s)",
"fld_value" : "swift",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Tippin ing Application"]
},
{
"fld_name" : "Supplier code No(s).",
"fld_value" : "T.K.9220",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Tippin ing Application"]
},
{
"fld_name" : "Print peseription",
"fld_value" : "Brows on yellow",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION", "CIGARETTE MAKING", "Tippin ing Application"]
},
{
"fld_name" : "Prepared by",
"fld_value" : "M. HAMERTON / enm",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Date",
"fld_value" : "May 1, 1985",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Approved by",
"fld_value" : "Dicector of Technical operations, Brown & Williancon International",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Date",
"fld_value" : "May 2, 1985",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Replaces",
"fld_value" : "New",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
},
{
"fld_name" : "Date",
"fld_value" : "May 1, 1985",
"path" : ["BROWY 6 WILLIAMSON INTERNATIONAL TOBACCO", "PRODUCT SPECIFICATION"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
- put
re
SERVICE REQUEST FROM neD BY
RECEIVEn
aeguest wou: _a5-04 i
R 2K
DATE: March 27, 1984 964
murtareo er: _p. n. warner fd PH,
COMPLETION
TARGET DATE: _April 13, 1984
counrny: BELGIUM
PROUCT: LUCKY STRIKE Filter and VICEROY
NATURE OF WORK:
Advise if locally obtained Yucatan Roney (sample
enclosed) is an acceptable substitute for HALWAY.
RED COMMENTS : Tye Jofe Ble
Pra pea oF
a) Nature of work should be specified in exact terms.
b) RsD should advise if completion date cannot be
met.
¢) Two copies of this form to be sent to RED by
initiator and RED is to return to 7.0, one
completed copy.
M/enn
0036/(r)
42894m
620429480
### RESPONSE:
[
{
"fld_name" : "SERVICE REQUEST FROM",
"fld_value" : "neD BY",
"path" : ["put", "re"]
},
{
"fld_name" : "RECEIVEn",
"fld_value" : "aeguest wou: _a5-04 i",
"path" : ["put", "re"]
},
{
"fld_name" : "DATE",
"fld_value" : "March 27, 1984 964",
"path" : ["put", "re", "R 2K"]
},
{
"fld_name" : "murtareo er",
"fld_value" : "_p. n. warner fd PH",
"path" : ["put", "re", "R 2K"]
},
{
"fld_name" : "TARGET DATE",
"fld_value" : "_April 13, 1984",
"path" : ["put", "re", "COMPLETION"]
},
{
"fld_name" : "counrny",
"fld_value" : "BELGIUM",
"path" : ["put", "re"]
},
{
"fld_name" : "PROUCT",
"fld_value" : "LUCKY STRIKE Filter and VICEROY",
"path" : ["put", "re"]
},
{
"fld_name" : "NATURE OF WORK",
"fld_value" : "Advise if locally obtained Yucatan Roney (sample enclosed) is an acceptable substitute for HALWAY.",
"path" : ["put", "re"]
},
{
"fld_name" : "RED COMMENTS",
"fld_value" : "Tye Jofe Ble",
"path" : ["put", "re"]
},
{
"fld_name" : "Pra pea oF",
"fld_value" : "a) Nature of work should be specified in exact terms. b) RsD should advise if completion date cannot be met. c) Two copies of this form to be sent to RED by initiator and RED is to return to 7.0, one completed copy.",
"path" : ["put", "re"]
},
{
"fld_name" : "M/enn",
"fld_value" : "0036/(r)",
"path" : ["put", "re"]
},
{
"fld_name" : "42894m",
"fld_value" : "620429480",
"path" : ["put", "re"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Poe H G273-62.7.
TOPCLINES progect # 1982-1020,
HOL PRODUCT TEST PAGE # Los 4 -
KOOL Lights KS vs, Bright KS Product Monitor
SUBJECT:
SAMPLE: 408 (200 Menthol Lights/105 Menthol ultra,
Lights/92. Non-Menthol. Ultras)
Frew pare; __ Septenber 13, 1982
TAR
CIGARETTES: # 839 / 869 KOOL Lights KS - white tip. 9.1 oT
ping masked
#869 / 839 Bright KS white tipping- 5.5 5513.5 41
masked/a certain proportion of the menthol result is pep-
pemtint O{1; R&D is unable to determine the percentage.
Tors ses eee ees 7 7 * 9 aptal Menthol Suckers
Tol ale Fale 2-38 ae
PREFERENCE: (re) (205) (99) (196) (96) (109)
KOOL Lights Soot 6H 46. Set __50
Bright 39 34 43 35 42
No Preference: 8 6 n 8 8
100 100 100 00100
ADTRIBUTES otal vale Fenale 21-34 35
KL bright, KL Bright KL Bright _KL_ Bright Ku Bright
STRENGTH 4.31"* 4.59 4.094 4.45 4.51 4.71 43544 4.76 4.27 4.48
(7eStronger)
SMOOTHNESS 3.60% 3.42 3.73 3.43 3.47. 3.) 261 3.38 Use ae
(7=Smoother)
BMD, MENTHOL 3,6¢44* 4.94 3.584" 4.85 _3.70"7* 5.02, 2.63** 5.31 asst ge
(7=More)
MENTHOL TASTE —3.309%** 3.04 3.46*** 3.02 _3.33** _3.06 _3.45#** 2.99 3aee og
(7=Better) ~
SATISFYING B.12s* 2.78 3.284 2.78 2.97 2.78 3,17#* 2.74 _3,08** 2.82
(7=More) —
APTERTASTE © a.sgee* 3.24 3.698" 3.21 3.44 26 3.52tt* 3,07 3.60" 3.39
(7=Pleasant) a OE —_——o—o
EASE_OF piiaw 4.00 3.96 4.02 3.95 3.99 3.96 4.07 _3.52 3.94 3.99
(7=Easier) ——
4/-/* Directional Difference:
++/--/#* Marginal Difference:
++4/---/#** Significant Difference:
66-79% Confidence Level
80-94% Confidence Level
954% Confidence Level
620915734
### RESPONSE:
[
{
"fld_name" : "Poe H G273-62.7",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "TOPCLINES progect",
"fld_value" : "# 1982-1020",
"path" : []
},
{
"fld_name" : "HOL PRODUCT TEST PAGE",
"fld_value" : "# Los 4",
"path" : []
},
{
"fld_name" : "KOOL Lights KS vs, Bright KS Product Monitor",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "SUBJECT",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "SAMPLE",
"fld_value" : "408 (200 Menthol Lights/105 Menthol ultra, Lights/92. Non-Menthol. Ultras)",
"path" : []
},
{
"fld_name" : "Frew pare",
"fld_value" : "Septenber 13, 1982",
"path" : []
},
{
"fld_name" : "TAR",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "CIGARETTES",
"fld_value" : "# 839 / 869 KOOL Lights KS - white tip. 9.1 oT ping masked #869 / 839 Bright KS white tipping- 5.5 5513.5 41 masked/a certain proportion of the menthol result is pep- pemtint O{1; R&D is unable to determine the percentage.",
"path" : ["TAR"]
},
{
"fld_name" : "PREFERENCE",
"fld_value" : "(re) (205) (99) (196) (96) (109) KOOL Lights Soot 6H 46. Set __50 Bright 39 34 43 35 42 No Preference: 8 6 n 8 8 100 100 100 00100",
"path" : []
},
{
"fld_name" : "ADTRIBUTES otal vale Fenale 21-34 35",
"fld_value" : "KL bright, KL Bright KL Bright _KL_ Bright Ku Bright STRENGTH 4.31\"* 4.59 4.094 4.45 4.51 4.71 43544 4.76 4.27 4.48 (7eStronger) SMOOTHNESS 3.60% 3.42 3.73 3.43 3.47. 3.) 261 3.38 Use ae (7=Smoother) BMD, MENTHOL 3,6¢44* 4.94 3.584\" 4.85 _3.70\"7* 5.02, 2.63** 5.31 asst ge (7=More) MENTHOL TASTE —3.309%** 3.04 3.46*** 3.02 _3.33** _3.06 _3.45#** 2.99 3aee og (7=Better) ~ SATISFYING B.12s* 2.78 3.284 2.78 2.97 2.78 3,17#* 2.74 _3,08** 2.82 (7=More) — APTERTASTE © a.sgee* 3.24 3.698\" 3.21 3.44 26 3.52tt* 3,07 3.60\" 3.39 (7=Pleasant) a OE —_——o—o EASE_OF piiaw 4.00 3.96 4.02 3.95 3.99 3.96 4.07 _3.52 3.94 3.99 (7=Easier) ——",
"path" : []
},
{
"fld_name" : "Directional Difference",
"fld_value" : "4/-/*",
"path" : []
},
{
"fld_name" : "Marginal Difference",
"fld_value" : "++/--/#*",
"path" : []
},
{
"fld_name" : "Significant Difference",
"fld_value" : "++4/---/#**",
"path" : []
},
{
"fld_name" : "Confidence Level",
"fld_value" : "66-79%",
"path" : []
},
{
"fld_name" : "Confidence Level",
"fld_value" : "80-94%",
"path" : []
},
{
"fld_name" : "Confidence Level",
"fld_value" : "954%",
"path" : []
},
{
"fld_name" : "620915734",
"fld_value" : "",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Reconstituted Tobacco Leaf Substitutions
Export Formulas
Revision Date: 05/11/95
Allowable Grade Substitutions
for Export CPCL
Allowable Substitutions
RPCFS or RPCFS-O
eer
EoeSes eae
ee RPCBS or RPCBS-O.
wcc
MC-4-S
MC-4-PH
MC-4-RC
MC-4-W
MC-1
— {C Stem
| RXF “Fine fiue cure RRXF or RRXF-O
RRXM-B
RRXM-T
RRBF or RRBF-O
RRB-B
RRB-L
RRB-T
SSbpuustey
### RESPONSE:
[
{
"fld_name" : "Reconstituted Tobacco Leaf Substitutions",
"fld_value" : "Export Formulas",
"path" : []
},
{
"fld_name" : "Revision Date",
"fld_value" : "05/11/95",
"path" : ["Reconstituted Tobacco Leaf Substitutions"]
},
{
"fld_name" : "Allowable Grade Substitutions",
"fld_value" : "for Export CPCL",
"path" : ["Reconstituted Tobacco Leaf Substitutions"]
},
{
"fld_name" : "Allowable Substitutions",
"fld_value" : "RPCFS or RPCFS-O",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "eer",
"fld_value" : "EoeSes eae",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "ee RPCBS or RPCBS-O",
"fld_value" : "wcc",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "MC-4-S",
"fld_value" : "MC-4-PH",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "MC-4-RC",
"fld_value" : "MC-4-W",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "MC-1",
"fld_value" : "{C Stem",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "RXF “Fine fiue cure RRXF or RRXF-O",
"fld_value" : "RRXM-B",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "RRXM-T",
"fld_value" : "RRBF or RRBF-O",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "RRB-B",
"fld_value" : "RRB-L",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
},
{
"fld_name" : "RRB-T",
"fld_value" : "SSbpuustey",
"path" : ["Reconstituted Tobacco Leaf Substitutions", "Allowable Grade Substitutions"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
m°
> QUALITY IMPROVEMENT SUGGESTION
OUR MISSION IS SUPERIOR CONSUMER SATISFACTION
Highest Quality, Teamwork, Do Right Things Right The First Time
RESEARCH & DEVELOPMENT
parEr_June 21, 1993EPARTMENT: __R&D Library
SUBMITTED BY: carol §. Lincoln.
SUBMIZZER'S ssf: __407-64-3484
SUGGESTION: (Describe Current Situation and idea)
specific, when we should be getting more general. Right now, people mst work to understand
the system. We must spend too much time administ:
our files.
ing the system, labeling, and cleaning
Complying is a real burden, both for the individual and for the reconis
coordinators.
1. Drop the category specifications altogether.
2, Use moregeneral categories.
hy: dha 2a pd es ea ath ta iy 0 gant fy —
worst one lad aooi Scones Se pgen
‘RESPOND HERE Yepleaent: []res [Jno [jrending nate
o
4)
iS
b
°
a
P
“‘pproval Siguature/Date (Son & Pein dames) Reepondez/Date rz)
(See Instructions On Back)
### RESPONSE:
[
{
"fld_name" : "QUALITY IMPROVEMENT SUGGESTION",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "OUR MISSION IS SUPERIOR CONSUMER SATISFACTION",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "Highest Quality, Teamwork, Do Right Things Right The First Time",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "RESEARCH & DEVELOPMENT",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "parEr",
"fld_value" : "June 21, 1993",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "EPARTMENT",
"fld_value" : "R&D Library",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "SUBMITTED BY",
"fld_value" : "carol §. Lincoln",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "SUBMIZZER'S ssf",
"fld_value" : "407-64-3484",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "SUGGESTION",
"fld_value" : "specific, when we should be getting more general. Right now, people mst work to understand the system. We must spend too much time administ: our files. Complying is a real burden, both for the individual and for the reconis coordinators. 1. Drop the category specifications altogether. 2, Use moregeneral categories.",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "‘RESPOND HERE Yepleaent",
"fld_value" : "[]res [Jno [jrending nate",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "“‘pproval Siguature/Date (Son & Pein dames) Reepondez/Date rz",
"fld_value" : "",
"path" : ["RESEARCH & DEVELOPMENT"]
},
{
"fld_name" : "(See Instructions On Back)",
"fld_value" : "",
"path" : ["RESEARCH & DEVELOPMENT"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
WINSTON & STRAWN | geese. 2%
ce
MAMUTRAL SITE, 3000 FIRST UNION FNANEIAL CENTER, ZOO SOUTH BISCAYNE
BOULEVARS, MAM, ORDA 33131
Fax; (OS) 400-8106
200 Pat avo
Wagar, DC 2005-2502 owcaie, COBO!
2ons71 780 Stessescco.
Fax Number: 305 400-6107
From: Kevin Narko CHARGEBACK:
4162/158
Dare: 10/13/99
Please Deliver as Soon as Possible To:
‘RECIPIENT ‘COMPANY FaxNo, PHONE No.
John Mulderig Philip Morris 917-663-5796 __| 917-663-3056
Gregory Little Philip Morris 917-663-5979
Total number of pages including this page:
COMMENTS
‘FYOUDO NOT RECEIVE ALL THE PAGES, PLEASE CALL OUR FAX OPERATOR AS SOON AS POSSIBLE.
THANK YoU.
312-558-5948
‘The information contained inthis facie message is nltorney privileged and confidential information intended only forthe
use of the individeal or entity named above If te reader of this message isnot the intended recipient, oF the employes or agent
‘responsible to deliver it othe intended reejpion, you are hereby notified that any dissemination, ietbutien or copying of this
ccomsmnicaton is sity prohibited.
you have received this communication in eror, please immediately notify us by telephone, and retum the original message
sw usatthe above address vie the U.S, Postal Service Thank you.
‘Operator Initials:
Confirmation: Yes ‘Name:
g169S6VL0%
### RESPONSE:
[
{
"fld_name" : "MAMUTRAL SITE",
"fld_value" : "3000 FIRST UNION FNANEIAL CENTER, ZOO SOUTH BISCAYNE BOULEVARS, MAM, ORDA 33131",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Fax",
"fld_value" : "(OS) 400-8106",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Fax Number",
"fld_value" : "305 400-6107",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "From",
"fld_value" : "Kevin Narko",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "CHARGEBACK",
"fld_value" : "4162/158",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Date",
"fld_value" : "10/13/99",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "RECIPIENT",
"fld_value" : "John Mulderig",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "COMPANY",
"fld_value" : "Philip Morris",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "FaxNo",
"fld_value" : "917-663-5796",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "PHONE No",
"fld_value" : "917-663-3056",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "RECIPIENT",
"fld_value" : "Gregory Little",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "COMPANY",
"fld_value" : "Philip Morris",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "FaxNo",
"fld_value" : "917-663-5979",
"path" : ["WINSTON & STRAWN", "Please Deliver as Soon as Possible To"]
},
{
"fld_name" : "Total number of pages including this page",
"fld_value" : "",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "COMMENTS",
"fld_value" : "",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Operator Initials",
"fld_value" : "",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Confirmation",
"fld_value" : "Yes",
"path" : ["WINSTON & STRAWN"]
},
{
"fld_name" : "Name",
"fld_value" : "",
"path" : ["WINSTON & STRAWN"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
a
Brand
Title
Code #
Size
Magazine
Field bate
Location
MAGAZ:
SCORES
AUDIENCE STUDIES
SALEM (RJR) :
EAD IN WATER"
FULL PAGE
rime
NEEK OF MARCH 25, 1974
CHICAGO, DALLAS/FORT WORTH, INDIANAPOLIS, LOS ANGELES
Project # 74-80
Total Sample 214
MEMPHIS, PHILADELPHIA, PITTSBURGH
Sample Description MALE AND FEMALE MENTHOL SMOKERS
PN6 PROVED RECALL COMMENTS
SCORE BASE SCORE BASE
7 ae
OVERALL: 1.0 (97 31_ (267) Tested among a half sample
of smokers. Sub-group
2.0 (5D) 31 183)
Female oo | (46) 3h ef
GE
Under 25
25-34
35-44
45 & Over
under 35 2.4 (42) 33.0 (81)
35 & Over 0.0 55) 2 «e)
BRAND SMOKED:
est Brand Smokers 33. 42)
Nal Other Smokers 30. (225)
scores subject to wide
variation because of small
sample size and should be
averaged across several
ads for meaningful infor-
mation.
Date Sent 4/19/74
‘770205964
### RESPONSE:
[
{
"fld_name" : "Brand",
"fld_value" : "SALEM (RJR)",
"path" : ["a"]
},
{
"fld_name" : "Title",
"fld_value" : "EAD IN WATER",
"path" : ["a"]
},
{
"fld_name" : "Code #",
"fld_value" : "FULL PAGE",
"path" : ["a"]
},
{
"fld_name" : "Size",
"fld_value" : "rime",
"path" : ["a"]
},
{
"fld_name" : "Magazine",
"fld_value" : "NEEK OF MARCH 25, 1974",
"path" : ["a"]
},
{
"fld_name" : "Field bate",
"fld_value" : "CHICAGO, DALLAS/FORT WORTH, INDIANAPOLIS, LOS ANGELES",
"path" : ["a"]
},
{
"fld_name" : "Location",
"fld_value" : "Project # 74-80",
"path" : ["a"]
},
{
"fld_name" : "MAGAZ",
"fld_value" : "SCORES",
"path" : ["a"]
},
{
"fld_name" : "AUDIENCE STUDIES",
"fld_value" : "Total Sample 214",
"path" : ["a"]
},
{
"fld_name" : "MEMPHIS, PHILADELPHIA, PITTSBURGH",
"fld_value" : "Sample Description MALE AND FEMALE MENTHOL SMOKERS",
"path" : ["a"]
},
{
"fld_name" : "PN6 PROVED RECALL COMMENTS",
"fld_value" : "SCORE BASE SCORE BASE",
"path" : ["a"]
},
{
"fld_name" : "7 ae",
"fld_value" : "OVERALL: 1.0 (97 31_ (267) Tested among a half sample of smokers. Sub-group",
"path" : ["a"]
},
{
"fld_name" : "2.0 (5D) 31 183)",
"fld_value" : "Female oo | (46) 3h ef",
"path" : ["a"]
},
{
"fld_name" : "GE",
"fld_value" : "Under 25",
"path" : ["a"]
},
{
"fld_name" : "25-34",
"fld_value" : "35-44",
"path" : ["a"]
},
{
"fld_name" : "45 & Over",
"fld_value" : "under 35 2.4 (42) 33.0 (81)",
"path" : ["a"]
},
{
"fld_name" : "35 & Over 0.0 55) 2 «e)",
"fld_value" : "BRAND SMOKED:",
"path" : ["a"]
},
{
"fld_name" : "est Brand Smokers 33. 42)",
"fld_value" : "Nal Other Smokers 30. (225)",
"path" : ["a"]
},
{
"fld_name" : "scores subject to wide variation because of small sample size and should be averaged across several ads for meaningful infor- mation.",
"fld_value" : "Date Sent 4/19/74",
"path" : ["a"]
},
{
"fld_name" : "‘770205964",
"fld_value" : "",
"path" : ["a"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
HONEMPITHOL pRooueE sBeT
summers i Reolacenent of Propylene Glycol with SORBITOL
oaMPLE 250 VICRROY/I25 Hox tboro/125 winston
cTOARETIES
9627/4842 ~ current vicEROY 84
(4607/4527 ~ Current VICEROY 84 oxcopt with
25H 9f the propylene glycol
replaced with SORBITOL.
aBrERENCE:
is27/637)
(697/620)
acmanporass
viceroy competitive
Gorrent THF Tene a
VICEROY 88 w/sonorToL, VICEROY 84 w/soReTzo,
(0627/7) (@ 687/621) Ww 0277507) “Yweas/e27
yorter ar
crenata
‘
uaRsHEES
NPTERTASTE
Fria)
cant or
### RESPONSE:
[
{
"fld_name" : "HONEMPITHOL pRooueE sBeT",
"fld_value" : "summers i Reolacenent of Propylene Glycol with SORBITOL",
"path" : []
},
{
"fld_name" : "oaMPLE",
"fld_value" : "250 VICRROY/I25 Hox tboro/125 winston",
"path" : []
},
{
"fld_name" : "cTOARETIES",
"fld_value" : "9627/4842 ~ current vicEROY 84",
"path" : []
},
{
"fld_name" : "4607/4527 ~ Current VICEROY 84 oxcopt with",
"fld_value" : "25H 9f the propylene glycol replaced with SORBITOL.",
"path" : ["cTOARETIES"]
},
{
"fld_name" : "aBrERENCE",
"fld_value" : "is27/637",
"path" : []
},
{
"fld_name" : "697/620",
"fld_value" : "acmanporass",
"path" : []
},
{
"fld_name" : "viceroy competitive",
"fld_value" : "Gorrent THF Tene a",
"path" : []
},
{
"fld_name" : "VICEROY 88 w/sonorToL, VICEROY 84 w/soReTzo",
"fld_value" : "(0627/7) (@ 687/621) Ww 0277507) “Yweas/e27",
"path" : []
},
{
"fld_name" : "yorter ar",
"fld_value" : "crenata",
"path" : []
},
{
"fld_name" : "uaRsHEES",
"fld_value" : "NPTERTASTE",
"path" : []
},
{
"fld_name" : "Fria",
"fld_value" : "cant or",
"path" : ["uaRsHEES"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
REWSPAPER SCORES
AUDIENCE STUDIES
Brand BELAIR Project # paca.
pitle “KALEIDOSCOPE--GONE WITH THE WIND"* gota) Sample __285
Code # R/BSS-71-19
1 Page, 4-Color
Type Of Ad _PARAD!
Newspaper (Date) __ Pittsburgh PITTSBURGH PRES! (4/23/72)
jan_Dieqo SAN DIEGO UNION 14/23/72) =
Dayton DAYTON NEW: (4/23/72)
Birmingham BIRMINGHAM NEWS 4/23/72
PMG PROVED RECALL, comments
ie. 222 ‘*This was a combination
ad with RALEIGH.
L
E
SEX
104 7 (ou
Female (120) 7 Gay
AGE
Under 25 3.2 (63)
25-34 30 (C66:
35-44 ae (46
45 & Over -ao Cay
under 35 Zeb (299) 5 aay
35 & Over 4.2 95) 3 Gast -
BRAND SMOKED:
t Test Brand Smokers
All Other smokers
### RESPONSE:
[
{
"fld_name" : "Brand",
"fld_value" : "BELAIR",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Project #",
"fld_value" : "paca.",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Title",
"fld_value" : "KALEIDOSCOPE--GONE WITH THE WIND",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Sample",
"fld_value" : "285",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Code #",
"fld_value" : "R/BSS-71-19",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Type Of Ad",
"fld_value" : "PARAD!",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Newspaper (Date)",
"fld_value" : "Pittsburgh PITTSBURGH PRES! (4/23/72)",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Newspaper (Date)",
"fld_value" : "San Diego SAN DIEGO UNION (4/23/72)",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Newspaper (Date)",
"fld_value" : "Dayton DAYTON NEWS (4/23/72)",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "Newspaper (Date)",
"fld_value" : "Birmingham BIRMINGHAM NEWS (4/23/72)",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "PMG PROVED RECALL, comments",
"fld_value" : "This was a combination ad with RALEIGH.",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "SEX",
"fld_value" : "Female (120) 7 Gay",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "Under 25 3.2 (63)",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "25-34 30 (C66:",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "35-44 ae (46",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "45 & Over -ao Cay",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "under 35 Zeb (299) 5 aay",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "AGE",
"fld_value" : "35 & Over 4.2 95) 3 Gast -",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "BRAND SMOKED",
"fld_value" : "Test Brand Smokers",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
},
{
"fld_name" : "BRAND SMOKED",
"fld_value" : "All Other smokers",
"path" : ["REWSPAPER SCORES", "AUDIENCE STUDIES"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
cHaMe s/t,
‘TRIAL, SPECIFICATION
barr
Surgestion We tet
Overatl Cigarette Length 99_na 99 my
Tobaceo Rod Length ea Rom /
Filter Plug Length 2a 27mm
Filter Plug Pressure Drop Cunencap.) na 62 on
Filter Plug Pressure Drop Cencap.) 585mm igen /
Cigarette Circunterence ea PB mf
Total Prassure Drop (unencap.) pa
Total Pressure Drop eneap.)
Tipping Length 32am 2 ne
Print Position (from f11ter end) 35__om Sno
Moisture Content (Packing) 8 Be
Pilter Ventilation Rate
Woignes
Total Cigarette weight . ad mg.
Net Net Tobacco 258s. 858 ne
‘Tobacco Rod Density 213.6 _ng/ee 243.6 /ee
Tipping and Tipping Application
Tipping Paper:
Supplier(s) ECUSTA/BLW ECUSTA/B 6 W
Suppiter Code No(s),
color — —__:
Perforation Type & No. of lines wa NA
Porosity Non Porous
Print Deseription WA
Bobbin width 64 om
Bobbin Length 2500
Substance 36 oo/H™ 36 o/h?
620753790
### RESPONSE:
[
{
"fld_name" : "Overatl Cigarette Length",
"fld_value" : "99_na 99 my",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Tobaceo Rod Length",
"fld_value" : "ea Rom",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Filter Plug Length",
"fld_value" : "2a 27mm",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Filter Plug Pressure Drop Cunencap.",
"fld_value" : "na 62 on",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Filter Plug Pressure Drop Cencap.",
"fld_value" : "585mm igen",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Cigarette Circunterence",
"fld_value" : "ea PB mf",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Total Prassure Drop (unencap.)",
"fld_value" : "pa",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Total Pressure Drop eneap.",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Tipping Length",
"fld_value" : "32am 2 ne",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Print Position (from f11ter end)",
"fld_value" : "35__om Sno",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Moisture Content (Packing)",
"fld_value" : "8 Be",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Pilter Ventilation Rate",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Woignes",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Total Cigarette weight",
"fld_value" : "ad mg.",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Net Net Tobacco",
"fld_value" : "258s. 858 ne",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "‘Tobacco Rod Density",
"fld_value" : "213.6 _ng/ee 243.6 /ee",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Tipping and Tipping Application",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Tipping Paper",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
},
{
"fld_name" : "Supplier(s)",
"fld_value" : "ECUSTA/BLW ECUSTA/B 6 W",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Suppiter Code No(s)",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "color",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Perforation Type & No. of lines",
"fld_value" : "wa NA",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Porosity",
"fld_value" : "Non Porous",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Print Deseription",
"fld_value" : "WA",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Bobbin width",
"fld_value" : "64 om",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Bobbin Length",
"fld_value" : "2500",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "Substance",
"fld_value" : "36 oo/H™ 36 o/h?",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet", "Tipping Paper"]
},
{
"fld_name" : "620753790",
"fld_value" : "",
"path" : ["cHaMe s/t", "‘TRIAL, SPECIFICATION", "barr", "Surgestion We tet"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
TH
ca auoauzar,)
(Recomended Proposal Attached)
Date: _4/16/90 No. 6
lescription: Y-1 Ultra 100’s vs. Winston Ultra 100’
Requested By: W. T. Carpenter Research Request Attached: Yes x No
Budgeted: Yes x No
Original Budgeted Amount 23.3
Competitive Proposals Obtained:
Est. Cost Per
Supplier Gost _($) Travel Iotal_Cost Interview
Kapuler__ $33,675 s1ouist. $2000 _CG35.675 ___s84.2__
Market Facts $35,000 ¢1]0%Est. $2000 $37,000 $87.5.
of HRD et 1290
PROJECTED:
Internal Init. Date _ 4/10/90
—4/12/90_.
Ext. Auth, Date
Wave(s)
‘1d Comp) 10/90
Wave(s)
i 1
(SuppTier Rpt.)
Wave(s)
Sample Size: =_____409__
Tota? Area Budget 370,000.00
Current Bal. Available: __199, 900,00
This Change: =35,67500
(From Current Budget)
This Anount. =
(From Next Year’ Budget)
Rew Balance: 164, 225,00
Committed to Date:
(Current Year)
205,775.00
Project Type Product Test
(Product Test, AaU, etc.)
Rei ied Supplier: Kapuler
Reason(s) for Recommendation: Lowest project costs
Submitted By: 2 2eFae Date S/2/oe
Bow, Byney “fs
Approved By: Date J7/%o
Le, Savery
Approved By: Date
Approved By: Date
Budget Check: je ate SB/G0
r, HOWEET
Original - Project Fite
cc: S. Willinger (3) Project No. 1990-486
| A. Hutchison/S. A. Howard Account Name BARCLAY
000006 (revised 3/90)
Psi 0625
670801704
### RESPONSE:
[
{
"fld_name" : "Date",
"fld_value" : "4/16/90",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "No.",
"fld_value" : "6",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Description",
"fld_value" : "Y-1 Ultra 100’s vs. Winston Ultra 100’",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Requested By",
"fld_value" : "W. T. Carpenter",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Research Request Attached",
"fld_value" : "Yes",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Budgeted",
"fld_value" : "Yes",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Original Budgeted Amount",
"fld_value" : "23.3",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)"]
},
{
"fld_name" : "Supplier",
"fld_value" : "Kapuler",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Cost",
"fld_value" : "$33,675",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Travel",
"fld_value" : "$2000",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Total Cost",
"fld_value" : "$35,675",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Interview",
"fld_value" : "$84.2",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Internal Init. Date",
"fld_value" : "4/10/90",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Ext. Auth, Date",
"fld_value" : "4/12/90",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Sample Size",
"fld_value" : "409",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Total Area Budget",
"fld_value" : "370,000.00",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Current Bal. Available",
"fld_value" : "199, 900,00",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "This Change",
"fld_value" : "35,67500",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "New Balance",
"fld_value" : "164, 225,00",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Committed to Date",
"fld_value" : "205,775.00",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Project Type",
"fld_value" : "Product Test",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Rei ied Supplier",
"fld_value" : "Kapuler",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Reason(s) for Recommendation",
"fld_value" : "Lowest project costs",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Submitted By",
"fld_value" : "2 2eFae",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Date",
"fld_value" : "S/2/oe",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Approved By",
"fld_value" : "Bow, Byney",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Date",
"fld_value" : "J7/%o",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Approved By",
"fld_value" : "Le, Savery",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Budget Check",
"fld_value" : "je ate SB/G0",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
},
{
"fld_name" : "Account Name",
"fld_value" : "BARCLAY",
"path" : ["TH", "ca auoauzar,", "(Recomended Proposal Attached)", "PROJECTED"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
BROWN & WILLIAMSON
1994 COLLECTION
PHOTOCOPYING VARTANCE FORM
This form was placed before Bates 1D __(?
AT THE TIME OF REPRODUCTION, THE
FOLLOWING Nt 0} a
DOCUMENT COPIES ARE IN THE SAME SEQUENCE AS THEY APPEARED
IN THE ORIGINAL.
PAGE NUMBER(S) WERE MISSING
IN THE ORIGINAL,
POOR QUALITY oRrerNAL. fac
Z
OVERLAY ITEM COULD NOT BE REMOVED WITHOUT DAMAGE TO THE
ORIGINAL.
NO DOCUMENTS WERE FOUND WITHIN THE ORIGINAL:
oe) FILE FOLDER
a) REDROPE EXPANDABLE FILE
an) HANGING FILE
©) ENVELOPE,
an) OTHER (SPECIFY)
DOCUMENT COPIES WERE REPRODUCED IN COLOR 70 PERMIT
CORRECTION INTERPRETATION,
BATES NUMBER ___ NOT USED.
OTHER VARIANCE (EXPLAIN).
### RESPONSE:
[
{
"fld_name" : "BROWN & WILLIAMSON",
"fld_value" : "1994 COLLECTION",
"path" : []
},
{
"fld_name" : "PHOTOCOPYING VARTANCE FORM",
"fld_value" : "This form was placed before Bates 1D __(?",
"path" : []
},
{
"fld_name" : "AT THE TIME OF REPRODUCTION, THE",
"fld_value" : "FOLLOWING Nt 0} a",
"path" : []
},
{
"fld_name" : "DOCUMENT COPIES ARE IN THE SAME SEQUENCE AS THEY APPEARED",
"fld_value" : "IN THE ORIGINAL.",
"path" : []
},
{
"fld_name" : "PAGE NUMBER(S) WERE MISSING",
"fld_value" : "IN THE ORIGINAL,",
"path" : []
},
{
"fld_name" : "POOR QUALITY oRrerNAL. fac",
"fld_value" : "Z",
"path" : []
},
{
"fld_name" : "OVERLAY ITEM COULD NOT BE REMOVED WITHOUT DAMAGE TO THE",
"fld_value" : "ORIGINAL.",
"path" : []
},
{
"fld_name" : "NO DOCUMENTS WERE FOUND WITHIN THE ORIGINAL:",
"fld_value" : "oe) FILE FOLDER\na) REDROPE EXPANDABLE FILE\nan) HANGING FILE\n©) ENVELOPE,\nan) OTHER (SPECIFY)",
"path" : []
},
{
"fld_name" : "DOCUMENT COPIES WERE REPRODUCED IN COLOR 70 PERMIT",
"fld_value" : "CORRECTION INTERPRETATION,",
"path" : []
},
{
"fld_name" : "BATES NUMBER",
"fld_value" : "___ NOT USED.",
"path" : []
},
{
"fld_name" : "OTHER VARIANCE (EXPLAIN).",
"fld_value" : "",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
MR 1909 (3-69) 100
~ BROWN & WILLIAMSON TOBACCO CORPORATION
FILTER SCORES
Brand: [BALBIGH_(BETAIR portion not tested) Project #_1969-105
Commercial: LAKE - NEW PACK :40 (with BELATR Badmin~ Sample:
~~ €on +20) PM6 Base: (234)
Code #: — _BY-RT-69-98 :
Supplier: _AUDIENCE STUDIES
TEST DATES
L. Angeles: 8/5 and 6 _
Chicagor a/s. .
PMG
SCORES COMMENTS,
overall 1.7 ‘Thie commercial was
tested in color.
erry
fos Angeles 0.0 ~
Chicago - 3.3
SEX
Male: 2.0
Female 3.3 .
35 & Under
36 & Over
elo
alo
465607116
### RESPONSE:
[
{
"fld_name" : "Brand",
"fld_value" : "BALBIGH_(BETAIR portion not tested) Project #_1969-105",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES"]
},
{
"fld_name" : "Commercial",
"fld_value" : "LAKE - NEW PACK :40 (with BELATR Badmin~ Sample:",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES"]
},
{
"fld_name" : "Code #",
"fld_value" : "_BY-RT-69-98",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES"]
},
{
"fld_name" : "Supplier",
"fld_value" : "_AUDIENCE STUDIES",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES"]
},
{
"fld_name" : "L. Angeles",
"fld_value" : "8/5 and 6",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "TEST DATES"]
},
{
"fld_name" : "Chicagor",
"fld_value" : "a/s.",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "TEST DATES"]
},
{
"fld_name" : "overall",
"fld_value" : "1.7 ‘Thie commercial was tested in color.",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "SCORES COMMENTS,"]
},
{
"fld_name" : "Los Angeles",
"fld_value" : "0.0",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "SCORES COMMENTS,"]
},
{
"fld_name" : "Chicago",
"fld_value" : "3.3",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "SCORES COMMENTS,"]
},
{
"fld_name" : "Male",
"fld_value" : "2.0",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "SCORES COMMENTS,", "SEX"]
},
{
"fld_name" : "Female",
"fld_value" : "3.3",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION", "FILTER SCORES", "SCORES COMMENTS,", "SEX"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
“STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS
Office of the Secretary of State
pames R. Langevin, Secretary of State
Room 43, State House
Providence, Rhode Island 02903-1105
Monthly Organization/Employer Report ‘”?”"2#”?
Due the It Monday ofthe month daring the legislative session to report the previous months’ activi.
Reporting Period: Month of _May
Organization/Bmployer Name: __R._J. Reynolds Tobacco
Lobbyist Name: Peter J. MeGina
Ifany addresses or telephone numbers have changed since the last reporting period please check
here___ and note the change in the space provided atthe end of this form.
Compensation/Exy
Have you paid any type of compensation or incurred any obigtion for payment tothe above named
lobbyist for lobbying? (yes orn0} _xo_. Ifyes please complete the following.
Compensation received for lobbying: S_ inet: $
Par of salary received fr lobby Retain: $i
‘Amount eamed but not receive Contractual or agreed fee: $,
Reimbursements for expenses (please itemize)
Other (please explain):
Note: RIGL 22-10-2(0 requires disclosure i a dollar amount ofthe compensation for lobbying activity.
During this reporting period, have you made any expenditure or incurred any obligation of $25.00 or
‘more per occurence to promote of oppose any legislation, incuding but not limited to mailings, meals,
print or broadcast advertisements, or gifts? (yes or no)
yes, please detail, including the names of the persons receiving and in whose behalf such
expenditures have been made, the amount, date, place, and reason forthe expenditure.
(ndicate if attached pages__)
List any changes of address or telephone numbers:
con
S CUss 7CRIE
### RESPONSE:
[
{
"fld_name" : "STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS",
"fld_value" : "Office of the Secretary of State",
"path" : []
},
{
"fld_name" : "pames R. Langevin, Secretary of State",
"fld_value" : "Room 43, State House",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS"]
},
{
"fld_name" : "Providence, Rhode Island 02903-1105",
"fld_value" : "Monthly Organization/Employer Report",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State"]
},
{
"fld_name" : "Reporting Period",
"fld_value" : "Month of May",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "Organization/Bmployer Name",
"fld_value" : "R.J. Reynolds Tobacco",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "Lobbyist Name",
"fld_value" : "Peter J. MeGina",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "Compensation/Exy",
"fld_value" : "Have you paid any type of compensation or incurred any obigtion for payment tothe above named lobbyist for lobbying? (yes orn0} _xo_. Ifyes please complete the following.",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "Compensation received for lobbying",
"fld_value" : "S_ inet: $",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105", "Compensation/Exy"]
},
{
"fld_name" : "Par of salary received fr lobby Retain",
"fld_value" : "$i",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105", "Compensation/Exy"]
},
{
"fld_name" : "‘Amount eamed but not receive Contractual or agreed fee",
"fld_value" : "$,",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105", "Compensation/Exy"]
},
{
"fld_name" : "Reimbursements for expenses (please itemize)",
"fld_value" : "",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105", "Compensation/Exy"]
},
{
"fld_name" : "Other (please explain)",
"fld_value" : "",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105", "Compensation/Exy"]
},
{
"fld_name" : "During this reporting period, have you made any expenditure or incurred any obligation of $25.00 or ‘more per occurence to promote of oppose any legislation, incuding but not limited to mailings, meals, print or broadcast advertisements, or gifts? (yes or no)",
"fld_value" : "",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "(ndicate if attached pages__)",
"fld_value" : "",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
},
{
"fld_name" : "List any changes of address or telephone numbers",
"fld_value" : "",
"path" : ["STATE OF RHODE ISLAND AND PROVIDENCE PLANTATIONS", "pames R. Langevin, Secretary of State", "Providence, Rhode Island 02903-1105"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
BROWN & WILLIAMSON TOBACCO CORPORATION
LOUISVILLE, KENTUCKY 40201
SPECIAL SAMPLE MANUFACTURE
SHIPMENT 3
TRANSFER
copies to: REDUCED TO MATERIAL
Date of Request 8/25/81
Factory Cost Dept. Account Number 33 346 00
Writer
Development Center
Sue Livesay
Sample Disposition
Quantity, Cartons Tax Status
of 200 each Paid or Free
To Sample Stock - - - - -
RDO = ee 20 Br
MR 7
Method of Shipment
Cigarette Description
‘KS img grooved product using 4,.3/37 filter material.
Cigarette code 264131
Special Instructions & Comments
600745255
Completion Date __ 6/25/81 Signed __B. D. WINGLER
### RESPONSE:
[
{
"fld_name" : "BROWN & WILLIAMSON TOBACCO CORPORATION",
"fld_value" : "LOUISVILLE, KENTUCKY 40201",
"path" : []
},
{
"fld_name" : "SPECIAL SAMPLE MANUFACTURE",
"fld_value" : "SHIPMENT 3",
"path" : []
},
{
"fld_name" : "TRANSFER",
"fld_value" : "copies to: REDUCED TO MATERIAL",
"path" : []
},
{
"fld_name" : "Date of Request",
"fld_value" : "8/25/81",
"path" : []
},
{
"fld_name" : "Factory Cost Dept. Account Number",
"fld_value" : "33 346 00",
"path" : []
},
{
"fld_name" : "Writer",
"fld_value" : "Development Center",
"path" : []
},
{
"fld_name" : "Development Center",
"fld_value" : "Sue Livesay",
"path" : ["Writer"]
},
{
"fld_name" : "Sample Disposition",
"fld_value" : "Quantity, Cartons Tax Status of 200 each Paid or Free",
"path" : []
},
{
"fld_name" : "To Sample Stock",
"fld_value" : "RDO = ee 20 Br",
"path" : []
},
{
"fld_name" : "RDO",
"fld_value" : "MR 7",
"path" : ["To Sample Stock"]
},
{
"fld_name" : "Method of Shipment",
"fld_value" : "Cigarette Description",
"path" : []
},
{
"fld_name" : "Cigarette Description",
"fld_value" : "‘KS img grooved product using 4,.3/37 filter material.",
"path" : ["Method of Shipment"]
},
{
"fld_name" : "Cigarette code",
"fld_value" : "264131",
"path" : ["Method of Shipment", "Cigarette Description"]
},
{
"fld_name" : "Special Instructions & Comments",
"fld_value" : "600745255",
"path" : []
},
{
"fld_name" : "Completion Date",
"fld_value" : "6/25/81",
"path" : []
},
{
"fld_name" : "Signed",
"fld_value" : "B. D. WINGLER",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
ACUTE TOXICITY IN MICE
3-Hydroxy-3-methylbutanoic acid (Tur 13)
courcuno
sounce —LOXillara - Organic Chemistry 9. spyo __OR39-23 vernon AY.
373/79
ate necenen —_UNK« resten 12/28/78 eronreo 10/6/80, Update
vesroxtONS) H. S. Tong & M. S. Forte! notesooxeace —BIOL4-23
emma <7 gn db Gti (hie 0 Pate)
sraan or wee SWiss-Webster wus * see bare necengo UX ~
veRace WEGHT RANGE (OM source Camm Research
ure oF courowno Aounistaon aro ow ow CD mwacaron
cowowno venice §— 5 METI. ceULOSE a com on osune power
rove wo x sownow some Sea,
(ota Bcc 0 CEN ese0)
: 1800 1/6
: 10 2160 0/6
* 10 2592 o/6
‘ 10 3732 3/6
* 10 4479 6/6
rcrenence roncarcusnon Litchfield, J. T. and Wilcoxin, F., J. of Pharmacol.
and Exper. Ther., 90:99, 1948.
toseex conromnce mrs _3.5 (3.1 to 3.9) q/kg
concwson THIS compound appears to act _as_a CNS depressant with symptons
of respiratory depression, constriction of blood vessels, and in-
activity. Survivors recovered in 48 hours. The recommended safe
dose for a single trial by inhalation in man is 0.3 mg.
3
| Copies to the Following: Dr. H. J, Minnemeyer 3
Hs. U. 8. Gray e
TORUAR RESEARON CENTER Pom (5)
### RESPONSE:
[
{
"fld_name" : "ACUTE TOXICITY IN MICE",
"fld_value" : "3-Hydroxy-3-methylbutanoic acid (Tur 13)",
"path" : []
},
{
"fld_name" : "source",
"fld_value" : "LOXillara - Organic Chemistry 9. spyo __OR39-23 vernon AY. 373/79",
"path" : []
},
{
"fld_name" : "ate necenen",
"fld_value" : "_UNK« resten 12/28/78 eronreo 10/6/80, Update",
"path" : []
},
{
"fld_name" : "vesroxtONS",
"fld_value" : "H. S. Tong & M. S. Forte! notesooxeace —BIOL4-23",
"path" : []
},
{
"fld_name" : "emma",
"fld_value" : "<7 gn db Gti (hie 0 Pate)",
"path" : []
},
{
"fld_name" : "sraan or wee",
"fld_value" : "SWiss-Webster wus * see bare necengo UX ~ veRace WEGHT RANGE (OM source Camm Research",
"path" : []
},
{
"fld_name" : "ure oF courowno Aounistaon",
"fld_value" : "aro ow ow CD mwacaron",
"path" : []
},
{
"fld_name" : "cowowno venice",
"fld_value" : "§— 5 METI. ceULOSE a com on osune power rove wo x sownow some Sea, (ota Bcc 0 CEN ese0)",
"path" : []
},
{
"fld_name" : "rcrenence roncarcusnon",
"fld_value" : "Litchfield, J. T. and Wilcoxin, F., J. of Pharmacol. and Exper. Ther., 90:99, 1948.",
"path" : []
},
{
"fld_name" : "toseex conromnce mrs",
"fld_value" : "_3.5 (3.1 to 3.9) q/kg",
"path" : []
},
{
"fld_name" : "concwson",
"fld_value" : "THIS compound appears to act _as_a CNS depressant with symptons of respiratory depression, constriction of blood vessels, and in- activity. Survivors recovered in 48 hours. The recommended safe dose for a single trial by inhalation in man is 0.3 mg.",
"path" : []
},
{
"fld_name" : "Copies to the Following",
"fld_value" : "Dr. H. J, Minnemeyer 3 Hs. U. 8. Gray e",
"path" : []
},
{
"fld_name" : "TORUAR RESEARON CENTER Pom",
"fld_value" : "(5)",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
’
‘Maniuseript Review Form
TOBACCO: SCIENCE
Registration No.3 ___ Date_March 18,1968 ___
AUTHORS ____Andraw G. Kallianoa, Richard R. Means, Jones D. Mold
TITLE “Rffect of Nit:
REVIEW COMPLETED. RECOMMENDATION: _X_APPROVE IN ITS.
PRESENT FORM; ___NOT APPROVE (Give reasons below); ___APPROVE TENTATIVELY,
SUBJECT TO THE FOLLOWING SUGGESTED REVISIONS: (itemize below) :
Paye 4 - Last line should be Mass spectrometric, instead of
Mass spectroscopic.
€S£04000
NOTE—Execute in triplicate using additional sheets if more space is required. Retain the third
copy for your file. Return the original (signed) and the first carbon: (unsigned) along with the
manuscript to this office. The unsigned copy and the manuscript will be returned to the author
for his consideration.
### RESPONSE:
[
{
"fld_name" : "Registration No.",
"fld_value" : "3",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "Date",
"fld_value" : "March 18,1968",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "AUTHORS",
"fld_value" : "Andraw G. Kallianoa, Richard R. Means, Jones D. Mold",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "TITLE",
"fld_value" : "Effect of Nit",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "REVIEW COMPLETED. RECOMMENDATION",
"fld_value" : "APPROVE IN ITS PRESENT FORM",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "SUBJECT TO THE FOLLOWING SUGGESTED REVISIONS",
"fld_value" : "Page 4 - Last line should be Mass spectrometric, instead of Mass spectroscopic.",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
},
{
"fld_name" : "NOTE",
"fld_value" : "Execute in triplicate using additional sheets if more space is required. Retain the third copy for your file. Return the original (signed) and the first carbon (unsigned) along with the manuscript to this office. The unsigned copy and the manuscript will be returned to the author for his consideration.",
"path" : ["Manuscript Review Form", "TOBACCO: SCIENCE"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Date:__September 21, 19/6
, Sample No.___6030
Type of Cigarette___§5 mm Pilter
Batch Size. 50 lbs.
original Request Made By___Dr. A. W. Spears on__September 21, 1976
Sample Specifications Written By___¥ Routh
Additional Spray
BLEND CASING RECASING FINAL FLAVOR Re,
oGs oGSs oGs oGS 3.4% PMO in EtoH
garettes Filters
Maker AMF Kind__20 mm True plastic rod
Length. 85 mm ——
Circumference 25.0 Process.
Weight _To be det. (603 ma tobacco) Rod Length =
Pressure Drop_To be determined Pressure Drop,
Filter Length_20mm Circunference
Paper 554 ) Weight
Tipping Paper_30_im plasticizer
Plog tieap,
Qeeiss _ -Responsibi.
Labels. ite Tobacco Blend Ammons
Closuri Blue Filter Production_Wicker
‘fear Tape. White Making & Packing. Brown/Routh
Cartons. Shipping Routh
Markings__ Sample NO. on Sample Requisition__"
—overwrap [Form 02:02:06]
Requirements Special Requirements
Laboratory. 3 rtons Spray 50 lbs. tobacco with solution of
Other, 20,000 cigts.
Laboratory Analysis
Smoke Analysis
PMO Analysis
Reports
Written by PR. D. Schickedantz
Original to Dr, Av W. Spear
Copies to_ pra FP Js
Dr. i. J. M
880 g (= 1.94 lbs.) PMO in 1175 ml of
denatured alcohol. This should give
3.48 PMO add-on (3.3% PMO contained)
assuming 88% spraying efficiency. PMO
delivery from 85 mm cigarette smoked
to 30 mm butt should be 6.5 mg/cig.
e
S$
3
oS
Ri
y
a
### RESPONSE:
[
{
"fld_name" : "Date",
"fld_value" : "September 21, 19/6",
"path" : []
},
{
"fld_name" : "Sample No.",
"fld_value" : "6030",
"path" : []
},
{
"fld_name" : "Type of Cigarette",
"fld_value" : "§5 mm Pilter",
"path" : []
},
{
"fld_name" : "Batch Size",
"fld_value" : "50 lbs.",
"path" : []
},
{
"fld_name" : "Original Request Made By",
"fld_value" : "Dr. A. W. Spears on September 21, 1976",
"path" : []
},
{
"fld_name" : "Sample Specifications Written By",
"fld_value" : "¥ Routh",
"path" : []
},
{
"fld_name" : "Maker",
"fld_value" : "AMF",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Kind",
"fld_value" : "20 mm True plastic rod",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Length",
"fld_value" : "85 mm",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Circumference",
"fld_value" : "25.0",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Weight",
"fld_value" : "To be det. (603 ma tobacco)",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Pressure Drop",
"fld_value" : "To be determined",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Filter Length",
"fld_value" : "20mm",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Paper",
"fld_value" : "554",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Tipping Paper",
"fld_value" : "30_im plasticizer",
"path" : ["Cigarettes Filters"]
},
{
"fld_name" : "Labels",
"fld_value" : "ite Tobacco Blend Ammons",
"path" : []
},
{
"fld_name" : "Closuri Blue Filter Production",
"fld_value" : "Wicker",
"path" : []
},
{
"fld_name" : "Tape",
"fld_value" : "White",
"path" : ["fear"]
},
{
"fld_name" : "Making & Packing",
"fld_value" : "Brown/Routh",
"path" : ["fear"]
},
{
"fld_name" : "Cartons",
"fld_value" : "Shipping Routh",
"path" : []
},
{
"fld_name" : "Markings",
"fld_value" : "Sample NO. on Sample Requisition",
"path" : []
},
{
"fld_name" : "Requirements",
"fld_value" : "Special Requirements",
"path" : ["overwrap [Form 02:02:06]"]
},
{
"fld_name" : "Laboratory",
"fld_value" : "3 rtons Spray 50 lbs. tobacco with solution of",
"path" : []
},
{
"fld_name" : "Other",
"fld_value" : "20,000 cigts.",
"path" : []
},
{
"fld_name" : "Laboratory Analysis",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "Smoke Analysis",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "PMO Analysis",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "Reports",
"fld_value" : "",
"path" : []
},
{
"fld_name" : "Written by",
"fld_value" : "PR. D. Schickedantz",
"path" : []
},
{
"fld_name" : "Original to",
"fld_value" : "Dr, Av W. Spear",
"path" : []
},
{
"fld_name" : "Copies to",
"fld_value" : "pra FP Js",
"path" : []
},
{
"fld_name" : "Dr. i. J. M",
"fld_value" : "880 g (= 1.94 lbs.) PMO in 1175 ml of denatured alcohol. This should give 3.48 PMO add-on (3.3% PMO contained) assuming 88% spraying efficiency. PMO delivery from 85 mm cigarette smoked to 30 mm butt should be 6.5 mg/cig.",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
CAPRI PROJECT NO. 1987-115-CA
(0595-622-1510-0
CAPRI_EXPANSION ASU - CALIFORNIA ~ WAVE 4,
DESCRIPTION:
SUPPLIER: Kapuler Marketing Research
MR_PERSONNEL: BLR, Pellett
AUTHORIZED COST: 70,825 410% (TOTAL 1987)
+70 (2-23-88)
7,90 ‘TOTAL
Int. Init.
Ext Autho.Date 11-16-87
Field Complete 12--7-87
Final Rpt.Due _ 1-11-88
PAID 1987 47, 218
DEC_1987 ACCRUAL 9, 442})-Ry,
CARRYOVER TO 1988 14, 165]
RELEASED PAID OUT OF
To_ACCTG 198g BUDGET (CUMULATIVE
Lyva~
DEC Pye
2-25-88. FEB oe eg2 ZZ 220.
466009457
### RESPONSE:
[
{
"fld_name" : "CAPRI PROJECT NO.",
"fld_value" : "1987-115-CA",
"path" : []
},
{
"fld_name" : "CAPRI_EXPANSION ASU - CALIFORNIA",
"fld_value" : "WAVE 4",
"path" : []
},
{
"fld_name" : "SUPPLIER",
"fld_value" : "Kapuler Marketing Research",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "MR_PERSONNEL",
"fld_value" : "BLR, Pellett",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "AUTHORIZED COST",
"fld_value" : "70,825 410% (TOTAL 1987) +70 (2-23-88) 7,90 ‘TOTAL",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "Int. Init.",
"fld_value" : "",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "Ext Autho.Date",
"fld_value" : "11-16-87",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "Field Complete",
"fld_value" : "12--7-87",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "Final Rpt.Due",
"fld_value" : "1-11-88",
"path" : ["DESCRIPTION"]
},
{
"fld_name" : "PAID 1987",
"fld_value" : "47, 218",
"path" : []
},
{
"fld_name" : "DEC_1987 ACCRUAL",
"fld_value" : "9, 442",
"path" : []
},
{
"fld_name" : "CARRYOVER TO 1988",
"fld_value" : "14, 165",
"path" : []
},
{
"fld_name" : "RELEASED PAID OUT OF",
"fld_value" : "",
"path" : ["To_ACCTG 198g BUDGET (CUMULATIVE"]
},
{
"fld_name" : "DEC Pye",
"fld_value" : "2-25-88. FEB oe eg2 ZZ 220.",
"path" : ["To_ACCTG 198g BUDGET (CUMULATIVE"]
},
{
"fld_name" : "",
"fld_value" : "466009457",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
‘CHANGE OF AUTHORIZED COST
Date: 5/21/90 No, 27
Description: ona Kona: vi
Supplier: HOR, HK _
Tota] cost 1990 Cost
avi pitime $43,335.00 _ $. 9,00
‘dnt. of Change: Increase X Decrease $4,376.47 08
(los chaage),
Adjusted Total Cost of Project: $_4L,71L.47 08.
Reasons:
Original MRA did not ‘include cost for the first month of the study (see L.
PROJECTED: Sumary of IRD Budaet
Internal Init. Date oral Area Budge —$2.960.000,00 _
‘Ext. Auth. Date Current Bal. Available: 488,126.23
Wave(s)
This Change:
(From Current Budget)
This Amount,
Field Complete (From Next Years Budget)
Wave(s)
New Balance: 488,126.15.
Final Report Oue
fozal Bepert Oh — ~~ connate to Dat on.g73.88
wea) Comet eae)
Submitted 8: Daresa vate a
M.D. Davis
toprovee y: JL e—— ote __¢lorhe
W. W. Kremer
Original - Project File
cer HRA File Project No. _1989~%
TA ener 2-22
‘Account Name_International_
464537440
### RESPONSE:
[
{
"fld_name" : "Date",
"fld_value" : "5/21/90",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "No",
"fld_value" : "27",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Description",
"fld_value" : "ona Kona: vi",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Supplier",
"fld_value" : "HOR, HK",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Total cost 1990 Cost",
"fld_value" : "avi pitime $43,335.00 _ $. 9,00",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "dnt. of Change",
"fld_value" : "Increase X Decrease $4,376.47 08",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Adjusted Total Cost of Project",
"fld_value" : "$_4L,71L.47 08",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Reasons",
"fld_value" : "Original MRA did not ‘include cost for the first month of the study (see L.",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "PROJECTED: Sumary of IRD Budaet",
"fld_value" : "Internal Init. Date oral Area Budge —$2.960.000,00",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Ext. Auth. Date Current Bal. Available",
"fld_value" : "488,126.23",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "This Change",
"fld_value" : "(From Current Budget)",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "This Amount",
"fld_value" : "Field Complete (From Next Years Budget)",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "New Balance",
"fld_value" : "488,126.15",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Final Report Due",
"fld_value" : "fozal Bepert Oh — ~~ connate to Dat on.g73.88",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Submitted",
"fld_value" : "8: Daresa vate a",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "M.D. Davis",
"fld_value" : "toprovee y: JL e—— ote __¢lorhe",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "W. W. Kremer",
"fld_value" : "Original - Project File",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "cer HRA File Project No",
"fld_value" : "_1989~%",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "TA ener",
"fld_value" : "2-22",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "Account Name",
"fld_value" : "International",
"path" : ["CHANGE OF AUTHORIZED COST"]
},
{
"fld_name" : "464537440",
"fld_value" : "",
"path" : ["CHANGE OF AUTHORIZED COST"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
PROJECT NUMBER: 991-18
B&W ORIGINATOR: _Mary. avis
To: ir. Johnny Pedersen - Gallup
INSTRUCTIONS
THE FOLLOWING DOCUMENT 1S DIVIDED INTO THO SECTIONS.
CONTAINS THE PROJECT DESCRIPTIONS AND SPECIFICATIONS FROM
BAW. ALL BIDS SHOULD BE BASED ON THE SPECIFICATIONS IN THIS DOCUMENT.
SHOULD BE COMPLETED BY THE RESEARCH AGENCY AND RETURNED BY
FAX TO THE FOLLOWING PERSON:
NS. JACKIE KEY
Baw
LOUISVILLE, KENTUCKY
u.
FAX NUMBER: 1-502-568-8092
2. IN ORDER TO ALLOW US TO COMPARE BIDS, WE REQUEST THAT YOU SUBMIT A BID
FOR THE RESEARCH AS SPECIFIED IN SECTION ONE.
SUGGESTIONS FOR ALTERNATE DESIGNS FROM THE AGENCY ARE WELCOMED. HOWEVER,
THESE SHOULD BE SUBMITTED AS SEPARATE DOCUMENTS APPENDED TO THIS BID
3. IF YOU HAVE ANY QUESTIONS, PLEASE CONTACT THE FOLLOWING PERSON:
Mary D._Davi
FAX NUMBER: © 1=502-568-1
OTHER INFORMATION
DATE REQUESTED: 2/22 by courier
DEADLINE FOR BID RECEI!
464565018
### RESPONSE:
[
{
"fld_name" : "PROJECT NUMBER",
"fld_value" : "991-18",
"path" : []
},
{
"fld_name" : "B&W ORIGINATOR",
"fld_value" : "Mary. avis",
"path" : []
},
{
"fld_name" : "To",
"fld_value" : "ir. Johnny Pedersen - Gallup",
"path" : []
},
{
"fld_name" : "NS. JACKIE KEY",
"fld_value" : "Baw",
"path" : ["INSTRUCTIONS"]
},
{
"fld_name" : "LOUISVILLE, KENTUCKY",
"fld_value" : "u.",
"path" : ["INSTRUCTIONS"]
},
{
"fld_name" : "FAX NUMBER",
"fld_value" : "1-502-568-8092",
"path" : ["INSTRUCTIONS"]
},
{
"fld_name" : "Mary D._Davi",
"fld_value" : "",
"path" : ["INSTRUCTIONS"]
},
{
"fld_name" : "FAX NUMBER",
"fld_value" : "1=502-568-1",
"path" : ["INSTRUCTIONS"]
},
{
"fld_name" : "DATE REQUESTED",
"fld_value" : "2/22 by courier",
"path" : ["OTHER INFORMATION"]
},
{
"fld_name" : "DEADLINE FOR BID RECEI",
"fld_value" : "464565018",
"path" : ["OTHER INFORMATION"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
PROJECT INITIATION FORM *
PROJECT CODE BD-FE. _— PATE__ 14/99
PROJECT NAME BULL DURHAM Full Flavor Xing Size Cigarettes
PROJECT LEADER
uF. Anders/J. €. Mann
WORK REQUESTED BY
Marketing
PROJECT OBJECTIVE
Develop l4-mg "tar" delivery king size cigarette.
for generic pricing directed toward young male
smokers. Cigarette dimensions - 85 mm x 24.9 mm
circunference - 20 mm filter - 24 mm tipping.
Offshore tobacco blend with unique flavor formulation.
Cork tipping.
OTHER PERSONNEL
ASSIGNED
cc: RSS
RDC
PRL
PRC
DRB
Records
Project Leader
Approved by
Other Personnel Assigned
### RESPONSE:
[
{
"fld_name" : "PROJECT CODE",
"fld_value" : "BD-FE. _— PATE__ 14/99",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "PROJECT NAME",
"fld_value" : "BULL DURHAM Full Flavor Xing Size Cigarettes",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "PROJECT LEADER",
"fld_value" : "uF. Anders/J. €. Mann",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "WORK REQUESTED BY",
"fld_value" : "Marketing",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "PROJECT OBJECTIVE",
"fld_value" : "Develop l4-mg \"tar\" delivery king size cigarette. for generic pricing directed toward young male smokers. Cigarette dimensions - 85 mm x 24.9 mm circunference - 20 mm filter - 24 mm tipping. Offshore tobacco blend with unique flavor formulation. Cork tipping.",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "OTHER PERSONNEL ASSIGNED",
"fld_value" : "cc: RSS RDC PRL PRC DRB Records Project Leader",
"path" : ["PROJECT INITIATION FORM"]
},
{
"fld_name" : "Approved by",
"fld_value" : "Other Personnel Assigned",
"path" : ["PROJECT INITIATION FORM"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
AMERICAN BROADCASTING COMPANY s
TELEVISION NETWORK
1830 Avenue ofthe Ae
8 Neo Yooh, New Yoru 30018
Lr ter
September 25, 1969
Dote;_ eer ae
sscaB, Inc
Agency:
clien,_At@rLean Tobacco Company
Pall Mall Filter tip REDE,
Products tt Maik Biker SP
SEP 30 two
Fitm Cleared: YEDEO TAPE APPROVAL PERCY &. SMT
“presenter/Girl Rev" ADGH/BT-64 360
“pall Mall Filter Tip" AT-P/P-T-317 30
225 WILL FOLLOW AS SOON AS I RECEIVE IT PSOM THE TAPE
Ree
ep
PLEASE S
NOTIFY THIS DEPARTMENT OF ANY CHANGES IN THE CODE NUMBER(S).
Final approval is, of course, dependent upon time and placement of the commercial(s),
Films) enclosed.
Sincerely,
cPrcb Aparicon Broedcenting Company
Vat op
ate Paige COS
Degartoeat of
BROADCAST STANDAROS ANO PRACTICES
po
### RESPONSE:
[
{
"fld_name" : "AMERICAN BROADCASTING COMPANY",
"fld_value" : "TELEVISION NETWORK",
"path" : []
},
{
"fld_name" : "Address",
"fld_value" : "1830 Avenue of the Ae, 8 Neo Yooh, New Yoru 30018",
"path" : []
},
{
"fld_name" : "Date",
"fld_value" : "September 25, 1969",
"path" : []
},
{
"fld_name" : "Agency",
"fld_value" : "sscaB, Inc",
"path" : []
},
{
"fld_name" : "Client",
"fld_value" : "At@rLean Tobacco Company",
"path" : []
},
{
"fld_name" : "Products",
"fld_value" : "Pall Mall Filter tip REDE, Maik Biker SP",
"path" : []
},
{
"fld_name" : "Film Cleared",
"fld_value" : "YEDEO TAPE APPROVAL PERCY & SMT, presenter/Girl Rev ADGH/BT-64 360, pall Mall Filter Tip AT-P/P-T-317 30",
"path" : []
},
{
"fld_name" : "Note",
"fld_value" : "225 WILL FOLLOW AS SOON AS I RECEIVE IT PSOM THE TAPE",
"path" : []
},
{
"fld_name" : "Reminder",
"fld_value" : "PLEASE S NOTIFY THIS DEPARTMENT OF ANY CHANGES IN THE CODE NUMBER(S).",
"path" : []
},
{
"fld_name" : "Final approval",
"fld_value" : "is, of course, dependent upon time and placement of the commercial(s), Films) enclosed.",
"path" : []
},
{
"fld_name" : "Sincerely",
"fld_value" : "cPrcb Aparicon Broedcenting Company",
"path" : []
},
{
"fld_name" : "Department of",
"fld_value" : "BROADCAST STANDAROS ANO PRACTICES",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
5 D)
oa
Attention DR, HUGHES, MESSRS, ALAR, SANDEFUR Department CORPORATE AFFAIRS
_BLOTT, BUTLER, MIDDLETON, CHRISTENSEN, PEPPLES, SACHS, FREEDMAN
Copies 1, HUMBER, M. BATEMAN Subject __L&M Lawsuit,
PRESS QUERY
Publication ADWEEK = Midwest, ..
Reporter/Editor Fran Brock (212) 467-6500
Received by _ Mark Ahearn Time 1:45 P.M. Date 7/9/84
Deedline for response _ Already handled
Describe the storyline, list the questions and propased answers, and summarize
handling, including clearances.
Ms. Brock requested information regarding La lewsuit. 1 provided the
approved prepared response.
Reporter then requested clarification of ‘generic cigarette’ ys. ‘private
label cigarette’ and asked to be notified when further announcements regarding
generics were made.
MA
RECEIVED
JUL 10 1984
JOHN ALAR
9822.009TS
### RESPONSE:
[
{
"fld_name" : "Attention",
"fld_value" : "DR, HUGHES, MESSRS, ALAR, SANDEFUR",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Copies",
"fld_value" : "1, HUMBER, M. BATEMAN",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Subject",
"fld_value" : "L&M Lawsuit, PRESS QUERY",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Publication",
"fld_value" : "ADWEEK = Midwest, ..",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Reporter/Editor",
"fld_value" : "Fran Brock (212) 467-6500",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Received by",
"fld_value" : "Mark Ahearn",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Time",
"fld_value" : "1:45 P.M.",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Date",
"fld_value" : "7/9/84",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Deedline for response",
"fld_value" : "Already handled",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "Describe the storyline, list the questions and propased answers, and summarize handling, including clearances.",
"fld_value" : "Ms. Brock requested information regarding La lewsuit. 1 provided the approved prepared response. Reporter then requested clarification of ‘generic cigarette’ ys. ‘private label cigarette’ and asked to be notified when further announcements regarding generics were made.",
"path" : ["CORPORATE AFFAIRS"]
},
{
"fld_name" : "RECEIVED",
"fld_value" : "JUL 10 1984 JOHN ALAR",
"path" : ["CORPORATE AFFAIRS"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
FA 956(5-85)
046sE
el 0081. (a) BROWN & WILLIAMSON TOBACCO CORPORATION
CAPITAL BUDGET PROJECT
a: :
Capital Budget «$000) Date Submitted ‘
m1
—pappSIGARETIE TEST STATION (CTSA00:
Purpose »
1 A Maintenance of Existing Business 5 _ Compliance with Outaide Requirements
2" Expansion of Existing Business 6 = Company Improvements & Adninistrative
3 __ New Products Requirements
4 Gost Reduction 7 __ Quality Improvement
ratas woeTmate Coat
This Project is _X_ Proposed TOTAL _ CAPITAL _EXPENSR.
— approved; Proposal No. ——s0= __ao Do
Project Dates - L
Submission 88 Start 88 Completion 11 _sg__ .
Yrs Yr. Mo. Yr.
PROJEGT DESCRIPTION
The Cigarette Test Station (0TS400) combines many of the stand-alone instruments that
R&D currently uses to measure cigarette weight, pressure drop, ventilation, and
hardness into one compact module. The CTS400 has the additional measurement of
edgarette hardness in comparison with the C1S300. With this added measurement R&D will »
de able to replace the Firmmess Integrator that measures cigarette firmess in addition
to other measurements that are mentioned above, The Firrness Integrator is no longer
manufactured and parts are becoming difficult to obtain. Lastly, purchase of thie
instrument vould provide similar capability as the Macon Plant and help factiteace
comparisions between laboratories.
ESTIMATED SPENDING SCHEDULE
pent Prior to 19Ey ‘Balance to Spend -
CAPITAL 89 CAPITAL
EXPENSE EXPENSE
1989 SPENDING BY QUARTER YEAR CAPITAL —BXPENSE
JAN.=MAR, APR-JUN. JUL-SEP, OCT-DEC. TOTAL © _1990_
CAPITAL 2991,
‘EXPENSE 1992 —
lesa __ —_
Beyond
1393 —
“Subarttel by ‘Rpproved by
W. 0. Crain
6210999403
### RESPONSE:
[
{
"fld_name" : "FA 956(5-85)",
"fld_value" : "046sE",
"path" : ["FA 956(5-85)"]
},
{
"fld_name" : "el 0081. (a)",
"fld_value" : "BROWN & WILLIAMSON TOBACCO CORPORATION",
"path" : ["el 0081. (a)"]
},
{
"fld_name" : "CAPITAL BUDGET PROJECT",
"fld_value" : "a: :",
"path" : ["CAPITAL BUDGET PROJECT"]
},
{
"fld_name" : "Capital Budget «$000) Date Submitted",
"fld_value" : "m1",
"path" : ["Capital Budget «$000) Date Submitted"]
},
{
"fld_name" : "SIGARETIE TEST STATION (CTSA00)",
"fld_value" : "Purpose",
"path" : ["SIGARETIE TEST STATION (CTSA00)"]
},
{
"fld_name" : "This Project is",
"fld_value" : "_X_ Proposed TOTAL _ CAPITAL _EXPENSR.",
"path" : ["This Project is"]
},
{
"fld_name" : "Project Dates",
"fld_value" : "Submission 88 Start 88 Completion 11 _sg__ .",
"path" : ["Project Dates"]
},
{
"fld_name" : "PROJEGT DESCRIPTION",
"fld_value" : "The Cigarette Test Station (0TS400) combines many of the stand-alone instruments that R&D currently uses to measure cigarette weight, pressure drop, ventilation, and hardness into one compact module. The CTS400 has the additional measurement of edgarette hardness in comparison with the C1S300. With this added measurement R&D will de able to replace the Firmmess Integrator that measures cigarette firmess in addition to other measurements that are mentioned above, The Firrness Integrator is no longer manufactured and parts are becoming difficult to obtain. Lastly, purchase of thie instrument vould provide similar capability as the Macon Plant and help factiteace comparisions between laboratories.",
"path" : ["PROJEGT DESCRIPTION"]
},
{
"fld_name" : "ESTIMATED SPENDING SCHEDULE",
"fld_value" : "pent Prior to 19Ey ‘Balance to Spend - CAPITAL 89 CAPITAL EXPENSE EXPENSE 1989 SPENDING BY QUARTER YEAR CAPITAL —BXPENSE JAN.=MAR, APR-JUN. JUL-SEP, OCT-DEC. TOTAL © _1990_ CAPITAL 2991, ‘EXPENSE 1992 — lessa __ —_ Beyond 1393 —",
"path" : ["ESTIMATED SPENDING SCHEDULE"]
},
{
"fld_name" : "Subarttel by",
"fld_value" : "W. 0. Crain",
"path" : ["Subarttel by"]
},
{
"fld_name" : "6210999403",
"fld_value" : "",
"path" : ["6210999403"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
NEW EXPORT PRODUCT DEVELOPMENT CHARTER
Date: 6/24/94
(BRANDIPROJECT NAME:
RICHLAND Kings (Soft Pack) - Duty Free (Phoenix)
[MARKET(S):
‘World-wide Duty Free
(OBJECTIVE:
| Generate incremental volume for B&W by providing a low price
brand to various international duty-free markets.
[SOURCE OF BUSINESS:
[Major Competitive Brands: Frarget Audience:
TeD \Value-conscious Smokers
‘COST OR RETAIL PRICING:
a)
(VOLUME:
‘Start Up: Jest Monthly Ongoing:
TeD TeD
INITIAL MATERIALS REQUIRED: ‘ty munis ‘Dollar Cost
[Pack Flatsabels: [On Hand
[On Hand
[500 $251
[shipping:
[product Specs Dat ln-Market Arrival Date:
[Launch Date:
Date
VP Int Planning
VP Intt Marketing
Senior VP tnt
6708S6182
### RESPONSE:
[
{
"fld_name" : "Date",
"fld_value" : "6/24/94",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "BRAND/PROJECT NAME",
"fld_value" : "RICHLAND Kings (Soft Pack) - Duty Free (Phoenix)",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "MARKET(S)",
"fld_value" : "World-wide Duty Free",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "OBJECTIVE",
"fld_value" : "Generate incremental volume for B&W by providing a low price brand to various international duty-free markets.",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "Major Competitive Brands",
"fld_value" : "TeD",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "SOURCE OF BUSINESS"]
},
{
"fld_name" : "Target Audience",
"fld_value" : "Value-conscious Smokers",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "SOURCE OF BUSINESS"]
},
{
"fld_name" : "Start Up",
"fld_value" : "TeD",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "VOLUME"]
},
{
"fld_name" : "Best Monthly Ongoing",
"fld_value" : "TeD",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "VOLUME"]
},
{
"fld_name" : "Pack Flats/labels",
"fld_value" : "On Hand",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "On Hand",
"fld_value" : "500 $251",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "shipping",
"fld_value" : "",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "product Specs Date",
"fld_value" : "",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "In-Market Arrival Date",
"fld_value" : "",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "Launch Date",
"fld_value" : "Date",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER", "INITIAL MATERIALS REQUIRED"]
},
{
"fld_name" : "VP Int Planning",
"fld_value" : "",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "VP Intt Marketing",
"fld_value" : "",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
},
{
"fld_name" : "Senior VP Int",
"fld_value" : "6708S6182",
"path" : ["NEW EXPORT PRODUCT DEVELOPMENT CHARTER"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
;ONFIRMATION
RESPONSE CODE REQUEST
To: _doe Leinster
From: —Joyee Bagby
Date: _September 10, 1996
Brand: Eclipse PPS Program #: 602399 Requested By:
Tite: Sneak Preview Confirmation Cal-Charlotte Tests
Description: Record of confirmation calls for sneak preview appointments,
Fulfillment Data Entry at, APAC
Circulation Quantity: __300_
Estimated Response: 100.00 %
Estimated Responders: __300
Distribution Drop Date; 1003/96. Expiration Date: —__
Response Code Assigned: __W25.
‘Address, postal requirements, barcodes, document storage, and
batch numbers to be supplied by:
APAC
“DE Fulfiiment Vendor
C: Suzi Hicks, RJRAR Debbie Lockery
Karen Giddens. ‘Vanessa Oakley
Drew Huyett Melissa Andrews - TBM
Jackson Roper ‘Tammi LaManna - M/B
e96z tszzs
### RESPONSE:
[
{
"fld_name" : "To",
"fld_value" : "doe Leinster",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "From",
"fld_value" : "Joyee Bagby",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Date",
"fld_value" : "September 10, 1996",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Brand",
"fld_value" : "Eclipse PPS Program",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Program #",
"fld_value" : "602399",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Title",
"fld_value" : "Sneak Preview Confirmation Cal-Charlotte Tests",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Description",
"fld_value" : "Record of confirmation calls for sneak preview appointments",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Fulfillment Data Entry at",
"fld_value" : "APAC",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Circulation Quantity",
"fld_value" : "300",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Estimated Response",
"fld_value" : "100.00 %",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Estimated Responders",
"fld_value" : "300",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Distribution Drop Date",
"fld_value" : "1003/96",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Response Code Assigned",
"fld_value" : "W25",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "Address, postal requirements, barcodes, document storage, and batch numbers to be supplied by",
"fld_value" : "APAC",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
},
{
"fld_name" : "DE Fulfillment Vendor",
"fld_value" : "Suzi Hicks, RJRAR Debbie Lockery Karen Giddens. Vanessa Oakley Drew Huyett Melissa Andrews - TBM Jackson Roper Tammi LaManna - M/B",
"path" : ["CONFIRMATION", "RESPONSE CODE REQUEST"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
SPECIAL EVENTS
dtate: Illinois ____ titystown: Dundee
Type of Event: Beauty Contest
Estimated Attendance: 700. Dates: March 3rd, 4th & Sth,
Name of Even’ Mrs. Illinois Beauty Pageant
Contact (Name/Telephone): Ms. Joy Weathers (Sales) 312/426-8000
Audience Concentration: ___ 90% White = 10% Black
5 Age category 21 yrs. to 45 yrs.
Recommended Brand(s) and Promotional Activity: BARCLAY sampling
2 - 12M cases mixed.
{0 be placed _on tables by B & W Reps.
466603840
11r/9349
### RESPONSE:
[
{
"fld_name" : "State",
"fld_value" : "Illinois",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "City/Town",
"fld_value" : "Dundee",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Type of Event",
"fld_value" : "Beauty Contest",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Estimated Attendance",
"fld_value" : "700",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Dates",
"fld_value" : "March 3rd, 4th & 5th",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Name of Event",
"fld_value" : "Mrs. Illinois Beauty Pageant",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Contact (Name/Telephone)",
"fld_value" : "Ms. Joy Weathers (Sales) 312/426-8000",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Audience Concentration",
"fld_value" : "90% White = 10% Black",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Age category",
"fld_value" : "21 yrs. to 45 yrs.",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Recommended Brand(s) and Promotional Activity",
"fld_value" : "BARCLAY sampling",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Cases",
"fld_value" : "2 - 12M cases mixed",
"path" : ["SPECIAL EVENTS"]
},
{
"fld_name" : "Placement",
"fld_value" : "To be placed on tables by B & W Reps",
"path" : ["SPECIAL EVENTS"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Attachment IT
BRAND ELI CUTTER KS
SPECIFICATION CHANGE PROPOSAL
Bomestic __X Export
Military
SPECIFICATION CHANCE NUMBER 84-79
Contract _~
‘Tie OF SPECIFICATION GHANGE (Check all that apply)
Packaging, Temporary
Cigarette Design, Trial
Tar Adjustment <1 mg
New Product
Equivalent Additive
Equivalent Filter/Paper/Tipping
Packaging, Permanent
Cigarette Design, Permanent
Tar Adjustment > 1 mg
Discontinue Product —
Equivalent Packaging Material
Processing
Description:
‘cost Sunmary ~
ELI CUTTER KS, for test market, using AMELIA”
Biend (XLF-6800).
REQUESTED IMPLEMENTATION DATE
STIR
‘COST_SUINARY
Obsolete Material Cost
Special Equipment /Naterial Cost
Est, Anqual Product Cost Change
‘APIAGINENTS (Gheck iF Included)
Rationale
Product Specification List =
Packaging Art Stat.
Processing Detail
Taitial Production Requirenent
Cost Analysis
Spec. Change Detail
Casing/Flavoring Formulae
Blend Formulae
Prepared By: D.M. Frank _ Date 19/10/84
ENDORSEMENTS Date
ga.
RDSE_— Product,
RDSE ~ Process
ELT
Marketing
APPROVAL, Date
gah —
President
1OLIk
621626776
### RESPONSE:
[
{
"fld_name" : "BRAND",
"fld_value" : "ELI CUTTER KS",
"path" : ["Attachment IT"]
},
{
"fld_name" : "SPECIFICATION CHANGE PROPOSAL",
"fld_value" : "Bomestic __X Export",
"path" : ["Attachment IT"]
},
{
"fld_name" : "SPECIFICATION CHANCE NUMBER",
"fld_value" : "84-79",
"path" : ["Attachment IT"]
},
{
"fld_name" : "‘Tie OF SPECIFICATION GHANGE",
"fld_value" : "Packaging, Temporary",
"path" : ["Attachment IT"]
},
{
"fld_name" : "Description",
"fld_value" : "‘cost Sunmary ~ ELI CUTTER KS, for test market, using AMELIA” Biend (XLF-6800).",
"path" : ["Attachment IT"]
},
{
"fld_name" : "REQUESTED IMPLEMENTATION DATE",
"fld_value" : "STIR",
"path" : ["Attachment IT"]
},
{
"fld_name" : "‘COST_SUIMARY",
"fld_value" : "Obsolete Material Cost Special Equipment /Naterial Cost Est, Anqual Product Cost Change",
"path" : ["Attachment IT"]
},
{
"fld_name" : "‘APIAGINENTS",
"fld_value" : "Rationale Product Specification List = Packaging Art Stat. Processing Detail Taitial Production Requirenent Cost Analysis Spec. Change Detail Casing/Flavoring Formulae Blend Formulae",
"path" : ["Attachment IT"]
},
{
"fld_name" : "Prepared By",
"fld_value" : "D.M. Frank _ Date 19/10/84",
"path" : ["Attachment IT"]
},
{
"fld_name" : "ENDORSEMENTS Date",
"fld_value" : "ga. RDSE_— Product, RDSE ~ Process ELT Marketing APPROVAL, Date gah — President 1OLIk",
"path" : ["Attachment IT"]
},
{
"fld_name" : "621626776",
"fld_value" : "",
"path" : ["Attachment IT"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
customer aay RECEIVED
a
Product Name__Falcon Green DEC 1 1 1989
Formula No. __ $xoc-4518 A.C. D.
Solids Composit
Lecithin (Food Grade)
Epoxidized Soy Bean O11
Cellulose Nitrate Net _w/2 Propanol -
Pigment, Yellow 34
Pigment, Blue 15:4
Esterof totified trieytie Gerbowtie Acid Jonrez TH02/
Total Solids
Solvent Composit to % V.0.C
Toluene
Isopropyl Acetate
N-Propyl Acetate
Total V.0.C..
100.00%
DLR
12/5/89
Technician
608110969
### RESPONSE:
[
{
"fld_name" : "Product Name",
"fld_value" : "Falcon Green DEC 1 1 1989",
"path" : ["customer aay RECEIVED"]
},
{
"fld_name" : "Formula No.",
"fld_value" : "$xoc-4518 A.C. D.",
"path" : ["customer aay RECEIVED"]
},
{
"fld_name" : "Lecithin (Food Grade)",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Epoxidized Soy Bean O11",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Cellulose Nitrate Net _w/2 Propanol",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Pigment, Yellow 34",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Pigment, Blue 15:4",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Esterof totified trieytie Gerbowtie Acid Jonrez TH02/",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Total Solids",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solids Composit"]
},
{
"fld_name" : "Toluene",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solvent Composit to % V.0.C"]
},
{
"fld_name" : "Isopropyl Acetate",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solvent Composit to % V.0.C"]
},
{
"fld_name" : "N-Propyl Acetate",
"fld_value" : "",
"path" : ["customer aay RECEIVED", "Solvent Composit to % V.0.C"]
},
{
"fld_name" : "Total V.0.C..",
"fld_value" : "100.00%",
"path" : ["customer aay RECEIVED", "Solvent Composit to % V.0.C"]
},
{
"fld_name" : "DLR",
"fld_value" : "12/5/89",
"path" : ["customer aay RECEIVED"]
},
{
"fld_name" : "Technician",
"fld_value" : "608110969",
"path" : ["customer aay RECEIVED"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
CHANGE OF AUTHORIZED COST
12-4-87 No. c=51
Description: _CAPRI A&U EXPANSION - CALIFORNIA: WAVE 2 (87-113),
WAVE 3 (87-114) AND WAVE 4 (87-115)
Supplier: Kapuler Marketing Research
Previous $ Commitments This Project $__212,475 £10%
‘Amt. of Change: Increase __ Decrease __$_NA ( % Change)
Adjusted Total Cost of Project: $_212,475 410%
Reasons:
Adjustment due to timing of projects falling
into 1988.
PROJECTED: Summary of Research Budget
1987
Internal Init. Date Total Area Budget: 780, 900, 00
Ext. Auth, Date Current Balance Available: _ (886, 220,53)
Field Complete This Change: +14, 165,00
(From Current Budget)
Final Report Due
(Supplier Rpt.) This Amount 14,165.00
(From Next Year's Budget)
Com-
Start plete _FR
87-113 (70,825) 9/23 10/11 11/1é6New Balance:
87-114 (70,825) 10/13 10/29 12/7
87-115 (70,825) 11/16 12/7 1/11
(872, 055,53)
Committed To Date: 1, 652, 955,53
Submitted By:__S.L, Willinger Date 12-4-87
Approved by: Date
Approved By: Date
Approved By: Date
Budget Checks Date 2a/2/¢¥7
KF. Lyl
Origina’ - Project File
ce: S. Willinger (3) Project No. 1987-113/114/115-CA
2D. Raphael
V. Hansberry (If Int.) Account Name___ CAPRI
000008 465915249
### RESPONSE:
[
{
"fld_name" : "CHANGE OF AUTHORIZED COST",
"fld_value" : "12-4-87 No. c=51",
"path" : []
},
{
"fld_name" : "Description",
"fld_value" : "CAPRI A&U EXPANSION - CALIFORNIA: WAVE 2 (87-113), WAVE 3 (87-114) AND WAVE 4 (87-115)",
"path" : []
},
{
"fld_name" : "Supplier",
"fld_value" : "Kapuler Marketing Research",
"path" : []
},
{
"fld_name" : "Previous $ Commitments This Project",
"fld_value" : "$212,475 £10%",
"path" : []
},
{
"fld_name" : "Amt. of Change",
"fld_value" : "Increase __ Decrease __$_NA ( % Change)",
"path" : []
},
{
"fld_name" : "Adjusted Total Cost of Project",
"fld_value" : "$212,475 410%",
"path" : []
},
{
"fld_name" : "Reasons",
"fld_value" : "Adjustment due to timing of projects falling into 1988.",
"path" : []
},
{
"fld_name" : "PROJECTED: Summary of Research Budget",
"fld_value" : "1987",
"path" : []
},
{
"fld_name" : "Internal Init. Date Total Area Budget",
"fld_value" : "780, 900, 00",
"path" : []
},
{
"fld_name" : "Ext. Auth, Date Current Balance Available",
"fld_value" : "(886, 220,53)",
"path" : []
},
{
"fld_name" : "Field Complete This Change",
"fld_value" : "+14, 165,00",
"path" : []
},
{
"fld_name" : "Final Report Due (Supplier Rpt.) This Amount",
"fld_value" : "14,165.00",
"path" : []
},
{
"fld_name" : "Start plete _FR",
"fld_value" : "87-113 (70,825) 9/23 10/11 11/1é6New Balance: 87-114 (70,825) 10/13 10/29 12/7 87-115 (70,825) 11/16 12/7 1/11",
"path" : []
},
{
"fld_name" : "Committed To Date",
"fld_value" : "1, 652, 955,53",
"path" : []
},
{
"fld_name" : "Submitted By",
"fld_value" : "S.L, Willinger Date 12-4-87",
"path" : []
},
{
"fld_name" : "Approved by",
"fld_value" : "Date",
"path" : []
},
{
"fld_name" : "Approved By",
"fld_value" : "Date",
"path" : []
},
{
"fld_name" : "Approved By",
"fld_value" : "Date",
"path" : []
},
{
"fld_name" : "Budget Checks Date",
"fld_value" : "2a/2/¢¥7",
"path" : []
},
{
"fld_name" : "Origina’ - Project File",
"fld_value" : "ce: S. Willinger (3) Project No. 1987-113/114/115-CA 2D. Raphael V. Hansberry (If Int.) Account Name___ CAPRI",
"path" : []
},
{
"fld_name" : "000008 465915249",
"fld_value" : "",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
MARKET RESEARCH AUTHORIZATION
(Recommended Proposal Attached)
Date: _10/9/a7
Description: CAPRI Expansion:
California -
Now,
ASU Wave IL
Requested By: _S. H. Trebilcock Research Request Attached: Yes_x No
Competitive Proposals Obtained:
Est. Cost Per
‘Supplier Gost ($) Travel Total Cost Interview
Kapuler Market Research $ 70,825 +/- 10% $70,825 +/- 102) _$47.22
Market Facts, Inc. $112,000 +/~ 10% $112,000 +/~ 10% _$74.67
Projected Sumary of Research Budget
Initiation Date _8/3/87 Total Area Budget: 780,900, 00
Field Start 9/23/87 * Current Bal. Available: 381, 583, 08)
Field Complete _10/11/87 ‘This Change: =70,825,00
(From Current Budget)
Final Report Due _11/16/87
This Amount
(From Next Years Budget)
Actual stesit date on thd
Part oy
oom due to stent af4 (Hed
Jo weak post-initro panied )
Techncslly yey Balance:
-0-
(452, 408, 08)
to Date: 1,233, 308,08
Committed
See Prassct Fide noted (Current Year)
LS tefisler
Sample Size: 1,500
Recommended Supplier:
Kapuler Marketing Research
Reason(s) for Recommendation: Low bidder-
submitted By: 2.J, Seumniom)
Ba Sae :
hoproved By: Cp mon
Date tojafan
pate 20/94,
i. E. Gravely
Approved By:
Date
Approved By:
Date
Budget Check:
Date
KF. Lyle
Original - Project File
ce: S. Willinger (3)
G. D. Raphael
V, Hansberry (If Int.)
/1sbgl00s
Account Name
Project No. _1987~113CA
CAPRI
465915288
### RESPONSE:
[
{
"fld_name" : "Date",
"fld_value" : "10/9/a7",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Description",
"fld_value" : "CAPRI Expansion: California - Now, ASU Wave IL",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Requested By",
"fld_value" : "S. H. Trebilcock",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Research Request Attached",
"fld_value" : "Yes",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Supplier",
"fld_value" : "Kapuler Market Research",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Gost ($)",
"fld_value" : "$ 70,825 +/- 10%",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Travel Total Cost",
"fld_value" : "$70,825 +/- 102",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Interview",
"fld_value" : "$47.22",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Competitive Proposals Obtained"]
},
{
"fld_name" : "Initiation Date",
"fld_value" : "8/3/87",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "Total Area Budget",
"fld_value" : "780,900, 00",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "Field Start",
"fld_value" : "9/23/87",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "Current Bal. Available",
"fld_value" : "381, 583, 08",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "Field Complete",
"fld_value" : "10/11/87",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "This Change",
"fld_value" : "=70,825,00",
"path" : ["MARKET RESEARCH AUTHORIZATION", "Projected Sumary of Research Budget"]
},
{
"fld_name" : "Final Report Due",
"fld_value" : "11/16/87",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Balance",
"fld_value" : "-0- (452, 408, 08)",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "to Date",
"fld_value" : "1,233, 308,08",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Committed",
"fld_value" : "See Prassct Fide noted (Current Year)",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Sample Size",
"fld_value" : "1,500",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Recommended Supplier",
"fld_value" : "Kapuler Marketing Research",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Reason(s) for Recommendation",
"fld_value" : "Low bidder",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Submitted By",
"fld_value" : "2.J, Seumniom",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Approved By",
"fld_value" : "Cp mon",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Date",
"fld_value" : "tojafan",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Approved By",
"fld_value" : "i. E. Gravely",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Budget Check",
"fld_value" : "KF. Lyle",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Account Name",
"fld_value" : "CAPRI",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
},
{
"fld_name" : "Project No",
"fld_value" : "1987~113CA",
"path" : ["MARKET RESEARCH AUTHORIZATION"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
DATE: ___1i3/20/04 AUTHORIZATION NO: __up-75
PROJECT NAME: _cmONr AWARENESS ATTITUDE & USAGE MONITOR = Poemann
SUPPLIER: BURKE_MARKETING RESEARCH :
Paevicus $ Commimmenrs Tas Provect: $_220, 000
i $__11,000 (0-5 % Cuance)
Anwustep Totat Cost oF Provect: $221, 000
Reasons:
REVISED COST DUE TO A QUESTION ADDED TO THE SECOND WAVE AND CHANGES MADE
IN WORDING OF OTHER QUESTIONS. THIS COVERS THE COST OF ADDITIONAL TELEPHONE
INTERVIEW LENGTH, CODING OF THE OPEN-END, PROGRAMING CHANGES, TABULATION
AND ANALYSIS.
| 19B4
| PROJECTED: TOTAL AREA BUDGET: (REV) __ 3,488, 000.00 __
Field Start Aug. 1984
Field Complete DecTSee— CURRENT BAL.AVAILABLE: © _17, 195.66 _
Final Report Due __dJan. 1985" mars CHANGE: -800. 00
(From Current Budget)
| THIS AMDUNT___200. 00
(From Next Year's Budget)
WEW BALANCE: 16,395.66
COMMITTED TO DATE: 3,493, 204.34
(Current Year)
TI
OAPULEY.
TE
(2-1
~ DATE
ORIGINAL ~ Provect FILE
cc: S. WiueanceR (3)/ *Provect Ho, _1984-175NP =
Research Group MANAGER Account tame Nev Products gg 4995147
### RESPONSE:
[
{
"fld_name" : "DATE",
"fld_value" : "1i3/20/04",
"path" : ["root"]
},
{
"fld_name" : "AUTHORIZATION NO",
"fld_value" : "up-75",
"path" : ["root"]
},
{
"fld_name" : "PROJECT NAME",
"fld_value" : "cmONr AWARENESS ATTITUDE & USAGE MONITOR = Poemann",
"path" : ["root"]
},
{
"fld_name" : "SUPPLIER",
"fld_value" : "BURKE_MARKETING RESEARCH",
"path" : ["root"]
},
{
"fld_name" : "Paevicus $ Commimmenrs Tas Provect",
"fld_value" : "$220, 000",
"path" : ["root"]
},
{
"fld_name" : "i",
"fld_value" : "$11,000 (0-5 % Cuance)",
"path" : ["root"]
},
{
"fld_name" : "Anwustep Totat Cost oF Provect",
"fld_value" : "$221, 000",
"path" : ["root"]
},
{
"fld_name" : "Reasons",
"fld_value" : "REVISED COST DUE TO A QUESTION ADDED TO THE SECOND WAVE AND CHANGES MADE IN WORDING OF OTHER QUESTIONS. THIS COVERS THE COST OF ADDITIONAL TELEPHONE INTERVIEW LENGTH, CODING OF THE OPEN-END, PROGRAMING CHANGES, TABULATION AND ANALYSIS.",
"path" : ["root"]
},
{
"fld_name" : "PROJECTED: TOTAL AREA BUDGET: (REV)",
"fld_value" : "3,488, 000.00",
"path" : ["root"]
},
{
"fld_name" : "Field Start",
"fld_value" : "Aug. 1984",
"path" : ["root"]
},
{
"fld_name" : "Field Complete",
"fld_value" : "DecTSee— CURRENT BAL.AVAILABLE: © _17, 195.66",
"path" : ["root"]
},
{
"fld_name" : "Final Report Due",
"fld_value" : "dJan. 1985",
"path" : ["root"]
},
{
"fld_name" : "mars CHANGE",
"fld_value" : "-800. 00",
"path" : ["root"]
},
{
"fld_name" : "THIS AMDUNT",
"fld_value" : "200. 00",
"path" : ["root"]
},
{
"fld_name" : "WEW BALANCE",
"fld_value" : "16,395.66",
"path" : ["root"]
},
{
"fld_name" : "COMMITTED TO DATE",
"fld_value" : "3,493, 204.34",
"path" : ["root"]
},
{
"fld_name" : "ORIGINAL ~ Provect FILE",
"fld_value" : "cc: S. WiueanceR (3)/ *Provect Ho, _1984-175NP",
"path" : ["root"]
},
{
"fld_name" : "Research Group MANAGER Account tame Nev Products",
"fld_value" : "gg 4995147",
"path" : ["root"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
LL SYSTEL : he oon
The Corporation Trust Company >
The Corporaljan BS neLompany to: The Corporation Prust Company ¢
CT Corpera New York, New York H
anda 7 co
FRoM:_C_T Corporation System
TOngneirg A)
per__Phyllie G. Jennings
0 System
ibd Goeth
yO:__Milliom R. Degeshardt, Tax Director
“he smerican Tobacco Compal
See ee
TWew York, New York TOIT
ated Ranh
Jacksonville, Florida
ae a
ate,_1=27269__ YM) Ceried Matt
VIA: (X) Certified Mell (} Messenger
(} Contitied Air Matt
Re: PROCESS SERVED IN FLORIDA
roR__'THE AMERICAN TOBACCO COMPANY
Nene of Compo)
Encloved are copies of legal process served upon the statutory agent of the ebove company
1. Title of Action: Reuben Sunstein, Plaintiff, v. The American Tobacco Company, a New
Jersey corporation, Defendant,
1
|
2. Documents) Served: Summons and Complaint
3.Coun: Gireuit Court, Dade Gounty, Florida. No, 69-1351
“4: Notre of Ain; For personal injuries resulting after smoking "Pall Mall" and "Lucky
‘strike cigerattos manufactured by defendant, wherein plaintiff alleges breach of wal
antics, seeks damages in excess of $5, 000 and demande trial by jury.
On Whom Pros
Phyllia G. Jonnings, Asst, Socy., Tho Corporation Company,
Jacksonville, Florida
4, Pate ond Hour of Serview: January 27, 1969 9:00 ayy
7. Appecronce or Answer Duet Within 20 daya aftar aex'vice, oxcluaive of day of service,
Point's Attorney{s: Max A. Goldfarb
414 Biscayne Building
Miami, Florida
9, Remarks:
RECEIVED AND FORWARDED ON__2/29/69 po
KINDLY ACKNOWLEDGE RECEIPT BY SIGNING AND RETURNING TO by; THE CORPORATION TRUST COMPANY
Us THE ENCLOSEO CARBON COPY. OF THIS TRANSMITTAL FORM. i
wu lL Lglusl ppl
Tolvell, Asst, Secye
-2T1 Pack Avenue
New York, New York 10027
### RESPONSE:
[
{
"fld_name" : "LL SYSTEL",
"fld_value" : "he oon",
"path" : []
},
{
"fld_name" : "The Corporation Trust Company",
"fld_value" : "The Corporaljan BS neLompany to: The Corporation Prust Company ¢",
"path" : []
},
{
"fld_name" : "CT Corpera New York, New York",
"fld_value" : "H",
"path" : []
},
{
"fld_name" : "FRoM",
"fld_value" : "_C_T Corporation System",
"path" : []
},
{
"fld_name" : "TOngneirg A",
"fld_value" : "per__Phyllie G. Jennings",
"path" : []
},
{
"fld_name" : "0 System",
"fld_value" : "ibd Goeth",
"path" : []
},
{
"fld_name" : "yO",
"fld_value" : "__Milliom R. Degeshardt, Tax Director",
"path" : []
},
{
"fld_name" : "“he smerican Tobacco Compal",
"fld_value" : "See ee",
"path" : []
},
{
"fld_name" : "TWew York, New York",
"fld_value" : "TOIT",
"path" : []
},
{
"fld_name" : "ated Ranh",
"fld_value" : "Jacksonville, Florida",
"path" : []
},
{
"fld_name" : "ae a",
"fld_value" : "ate,_1=27269__ YM) Ceried Matt",
"path" : []
},
{
"fld_name" : "VIA",
"fld_value" : "(X) Certified Mell (} Messenger",
"path" : []
},
{
"fld_name" : "(} Contitied Air Matt",
"fld_value" : "Re: PROCESS SERVED IN FLORIDA",
"path" : []
},
{
"fld_name" : "roR",
"fld_value" : "'THE AMERICAN TOBACCO COMPANY",
"path" : []
},
{
"fld_name" : "Nene of Compo",
"fld_value" : "Encloved are copies of legal process served upon the statutory agent of the ebove company",
"path" : []
},
{
"fld_name" : "Title of Action",
"fld_value" : "Reuben Sunstein, Plaintiff, v. The American Tobacco Company, a New Jersey corporation, Defendant",
"path" : ["1."]
},
{
"fld_name" : "Documents Served",
"fld_value" : "Summons and Complaint",
"path" : ["2."]
},
{
"fld_name" : "Coun",
"fld_value" : "Gireuit Court, Dade Gounty, Florida. No, 69-1351",
"path" : ["3."]
},
{
"fld_name" : "Notre of Ain",
"fld_value" : "For personal injuries resulting after smoking \"Pall Mall\" and \"Lucky ‘strike cigerattos manufactured by defendant, wherein plaintiff alleges breach of wal antics, seeks damages in excess of $5, 000 and demande trial by jury.",
"path" : ["4."]
},
{
"fld_name" : "On Whom Pros",
"fld_value" : "Phyllia G. Jonnings, Asst, Socy., Tho Corporation Company, Jacksonville, Florida",
"path" : []
},
{
"fld_name" : "Pate ond Hour of Serview",
"fld_value" : "January 27, 1969 9:00 ayy",
"path" : ["4."]
},
{
"fld_name" : "Appecronce or Answer Duet",
"fld_value" : "Within 20 daya aftar aex'vice, oxcluaive of day of service",
"path" : ["7."]
},
{
"fld_name" : "Point's Attorney{s",
"fld_value" : "Max A. Goldfarb",
"path" : []
},
{
"fld_name" : "414 Biscayne Building",
"fld_value" : "Miami, Florida",
"path" : []
},
{
"fld_name" : "RECEIVED AND FORWARDED ON",
"fld_value" : "2/29/69 po",
"path" : ["9."]
},
{
"fld_name" : "KINDLY ACKNOWLEDGE RECEIPT BY SIGNING AND RETURNING TO",
"fld_value" : "by; THE CORPORATION TRUST COMPANY",
"path" : []
},
{
"fld_name" : "Us THE ENCLOSEO CARBON COPY. OF THIS TRANSMITTAL FORM.",
"fld_value" : "i",
"path" : []
},
{
"fld_name" : "wu lL Lglusl ppl",
"fld_value" : "Tolvell, Asst, Secye",
"path" : []
},
{
"fld_name" : "-2T1 Pack Avenue",
"fld_value" : "New York, New York 10027",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Attachment A
PUBLIC COMMUNICATIONS APPROVAL SHEET
The Tobacco Institute
DATES,
SUBJECTS.
WRITERS,
APPROVALS!
NAME OR INITIALS
Division Head
Bill Kloepfer
Sam Chilcote
Legal Approval Recommended/Required: yes
SHEB
co
Others
No,
### RESPONSE:
[
{
"fld_name" : "Attachment",
"fld_value" : "A",
"path" : []
},
{
"fld_name" : "PUBLIC COMMUNICATIONS APPROVAL SHEET",
"fld_value" : "The Tobacco Institute",
"path" : []
},
{
"fld_name" : "DATES",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET"]
},
{
"fld_name" : "SUBJECTS",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET"]
},
{
"fld_name" : "WRITERS",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET"]
},
{
"fld_name" : "APPROVALS",
"fld_value" : "NAME OR INITIALS",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET"]
},
{
"fld_name" : "Division Head",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
},
{
"fld_name" : "Bill Kloepfer",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
},
{
"fld_name" : "Sam Chilcote",
"fld_value" : "",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
},
{
"fld_name" : "Legal Approval Recommended/Required",
"fld_value" : "yes",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
},
{
"fld_name" : "SHEB",
"fld_value" : "co",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
},
{
"fld_name" : "Others",
"fld_value" : "No",
"path" : ["PUBLIC COMMUNICATIONS APPROVAL SHEET", "APPROVALS"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
Sample No. 5031 : ae f
* Ofiginal request made by Mr. ¢. b. Tucker, gr. on i 7/10/68
Sample specifications written by Jobn H. M. Bohlken
BLEND, CASING RECASING FINAL FLAVOR MENTHOL FLAVOR
Cigarette:
Brana
Length
Circumference--~
Weight
Tipping Paper --
Print-
Cc - Filter Length--.
=, Requirements:
Laboratory
Others
Laboratory Analysis: ” —~ 7
Tars and Nicotine, Taste Panel, Burning Time, gas
Benzo (A) Pyrene Analyses — 7-/¢-CF- @.( /Mss:fed
Responsibility:
Tobacco Blend
~" OLD GOLD STRAIGHT Tobacco Blend
Control for Sample No. 5030
OLD GOLD STRAIGHT
85 mm.
25.3 mm.
Ecusta 556
OLD GOLD STRAIGHT
OLD GOLD STRAIGHT
OLD GOLD STRAIGHT
OLD GOLD STRAIGHT
Filter Production--- 7
Making & Packing -.
Shipping -
Reports
Written by -
John H. M.
Bohlken
Original to ~Mr. Cc. L. Tucker, or.
Dr.
Copies to
A.W.
Spears
- Product Development
OLD GOLD STRAIGHT
Standard Blue
Gold
OLD GOLD STRAIGHT
Sample number on each
pack and carton
cartons
Markings ~~
eo
Phase Analysis,
WE
-Manufacturing ~ A. Kraus -
+ John H. M. Bohlken ~
### RESPONSE:
[
{
"fld_name" : "Sample No.",
"fld_value" : "5031",
"path" : []
},
{
"fld_name" : "Original request made by",
"fld_value" : "Mr. ¢. b. Tucker, gr. on i 7/10/68",
"path" : []
},
{
"fld_name" : "Sample specifications written by",
"fld_value" : "Jobn H. M. Bohlken",
"path" : []
},
{
"fld_name" : "Brand",
"fld_value" : "OLD GOLD STRAIGHT",
"path" : ["Cigarette"]
},
{
"fld_name" : "Length",
"fld_value" : "85 mm.",
"path" : ["Cigarette"]
},
{
"fld_name" : "Circumference",
"fld_value" : "25.3 mm.",
"path" : ["Cigarette"]
},
{
"fld_name" : "Weight",
"fld_value" : "Ecusta 556",
"path" : ["Cigarette"]
},
{
"fld_name" : "Tipping Paper",
"fld_value" : "OLD GOLD STRAIGHT",
"path" : ["Cigarette"]
},
{
"fld_name" : "Print",
"fld_value" : "OLD GOLD STRAIGHT",
"path" : ["Cigarette"]
},
{
"fld_name" : "Cc - Filter Length",
"fld_value" : "OLD GOLD STRAIGHT",
"path" : ["Cigarette"]
},
{
"fld_name" : "Laboratory",
"fld_value" : "Tars and Nicotine, Taste Panel, Burning Time, gas Benzo (A) Pyrene Analyses",
"path" : ["=", "Requirements"]
},
{
"fld_name" : "Others",
"fld_value" : "7-/¢-CF- @.( /Mss:fed",
"path" : ["=", "Requirements"]
},
{
"fld_name" : "Tobacco Blend",
"fld_value" : "~\" OLD GOLD STRAIGHT Tobacco Blend",
"path" : ["Responsibility"]
},
{
"fld_name" : "Control for Sample No.",
"fld_value" : "5030",
"path" : ["Responsibility"]
},
{
"fld_name" : "Filter Production",
"fld_value" : "7",
"path" : ["Responsibility"]
},
{
"fld_name" : "Making & Packing",
"fld_value" : "-",
"path" : ["Responsibility"]
},
{
"fld_name" : "Shipping",
"fld_value" : "-",
"path" : ["Responsibility"]
},
{
"fld_name" : "Reports Written by",
"fld_value" : "John H. M. Bohlken",
"path" : ["Responsibility"]
},
{
"fld_name" : "Original to",
"fld_value" : "~Mr. Cc. L. Tucker, or. Dr.",
"path" : ["Responsibility"]
},
{
"fld_name" : "Copies to",
"fld_value" : "A.W. Spears - Product Development",
"path" : ["Responsibility"]
},
{
"fld_name" : "Markings",
"fld_value" : "Sample number on each pack and carton cartons",
"path" : ["Responsibility"]
},
{
"fld_name" : "Phase Analysis",
"fld_value" : "WE",
"path" : ["Responsibility"]
},
{
"fld_name" : "Manufacturing",
"fld_value" : "A. Kraus -",
"path" : ["Responsibility"]
},
{
"fld_name" : "+ John H. M. Bohlken",
"fld_value" : "~",
"path" : ["Responsibility"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
SPORTS REGISTRATION
37TH ANNUAL MEETING
AUGUST 15-18, 1996
RYE-TOWN HILTON HOTEL
RYE, NEW YORK
Make copies of this form if necessary. Complete applicable
section(s) and return to NYSAWMD.
LORILLARD TOBACCO COMPANY
GOLF TOURNAMENT (zadies & Men)...Friday, August 16, Tee off
at 8:00 A.M. SHARP (no green fee)
I will participate in the Golf Tournament < >
My handicap i. < > Strokes
NAME,
FIRM NAME.
reverectttetttetettterstctcttccctcceccreccccerctertrcrrccctrcercd
BROWN & WILLIAMSON TOBACCO CORPORATION
TENNIS TOURNAMENT (Ladies & Men)...Friday, August 16,
starting time is 3:00 P.M.
I will participate in the Tennis Tournament
I would classify myself as (please check appropriate box)
> Beginner
> Fair
2
g
3
a
FIRM NAME.
oiieccteteeceresececccctcccretecerertrettracecctererrrerrrcer® 2 ©]
NYSAWMD, INC. 211 EAST 43RD STREET, NEW YORK, NY 10017-4707
ConVEORH. 96
A
### RESPONSE:
[
{
"fld_name" : "SPORTS REGISTRATION",
"fld_value" : "37TH ANNUAL MEETING AUGUST 15-18, 1996 RYE-TOWN HILTON HOTEL RYE, NEW YORK",
"path" : []
},
{
"fld_name" : "LORILLARD TOBACCO COMPANY",
"fld_value" : "GOLF TOURNAMENT (zadies & Men)...Friday, August 16, Tee off at 8:00 A.M. SHARP (no green fee)",
"path" : []
},
{
"fld_name" : "I will participate in the Golf Tournament",
"fld_value" : "< >",
"path" : ["LORILLARD TOBACCO COMPANY"]
},
{
"fld_name" : "My handicap i.",
"fld_value" : "< > Strokes",
"path" : ["LORILLARD TOBACCO COMPANY"]
},
{
"fld_name" : "NAME,",
"fld_value" : "FIRM NAME.",
"path" : ["LORILLARD TOBACCO COMPANY"]
},
{
"fld_name" : "BROWN & WILLIAMSON TOBACCO CORPORATION",
"fld_value" : "TENNIS TOURNAMENT (Ladies & Men)...Friday, August 16, starting time is 3:00 P.M.",
"path" : []
},
{
"fld_name" : "I will participate in the Tennis Tournament",
"fld_value" : "",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION"]
},
{
"fld_name" : "I would classify myself as (please check appropriate box)",
"fld_value" : "> Beginner > Fair",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION"]
},
{
"fld_name" : "FIRM NAME.",
"fld_value" : "",
"path" : ["BROWN & WILLIAMSON TOBACCO CORPORATION"]
},
{
"fld_name" : "NYSAWMD, INC. 211 EAST 43RD STREET, NEW YORK, NY 10017-4707",
"fld_value" : "ConVEORH. 96",
"path" : []
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
KOOL & GPC GOLF BAG SURVEY
Section Number: 2
Section Sales Manager's Name: [Peter Hatch
Please place the following order for KOOL and/or GPC Golf Bags for my Section:
KOOL Golf Bags 5
GPC Golf Bags 0
end the completed survey to Linda Daniels in Field Supply via fax (502-568-7189) or
CC:Mail no later than June 7.
n22A. wht
### RESPONSE:
[
{
"fld_name" : "Section Number",
"fld_value" : "2",
"path" : ["KOOL & GPC GOLF BAG SURVEY"]
},
{
"fld_name" : "Section Sales Manager's Name",
"fld_value" : "Peter Hatch",
"path" : ["KOOL & GPC GOLF BAG SURVEY"]
},
{
"fld_name" : "KOOL Golf Bags",
"fld_value" : "5",
"path" : ["KOOL & GPC GOLF BAG SURVEY", "Please place the following order for KOOL and/or GPC Golf Bags for my Section"]
},
{
"fld_name" : "GPC Golf Bags",
"fld_value" : "0",
"path" : ["KOOL & GPC GOLF BAG SURVEY", "Please place the following order for KOOL and/or GPC Golf Bags for my Section"]
},
{
"fld_name" : "end the completed survey to",
"fld_value" : "Linda Daniels in Field Supply via fax (502-568-7189) or CC:Mail no later than June 7",
"path" : ["KOOL & GPC GOLF BAG SURVEY"]
},
{
"fld_name" : "n22A. wht",
"fld_value" : "",
"path" : ["KOOL & GPC GOLF BAG SURVEY"]
}
] |
### INSTRUCTION:
Text from scaned form was extracted with Tesseract OCR.
Think about OCR text as a tree of fields, where node can be:
- Field name
- List of children field names of the current node
- Field value at leaf node
- List of field values at leaf node
- Both field names and field values consist from one or more words.
### Task:
From the text given below after '### OCR:' extract:
- All leaf nodes as (field name, field value) pairs
### Result:
- Return result as the following JSON structure:
[
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
...
{
"fld_name" : field name,
"fld_value" : field value,
"path" : [root_fld_name, parent_fld_name, parent_fld_name, ..., parent_fld_name]
},
]
where:
- fld_name - a field name string
- fld_value - a field value string
- path - is a path from form root node to this node
- root_fld_name - a root field name string
- parent_fld_name - a parent field name string
### OCR:
P. 8. 73-91,
Week of: Date Recelvea 1/25/91
LASER PERFORATED TIPPING APPEARANCE CHECK
HOLE DEPTH, SCORCHING,- CRATERING
Modules 412 Brana: CARLTON Filter 100's - 4 Mg Laser
Shit & Date: Pulse: ME oer
FRONT CIGARETTES
Hole Depth: aim 13.0 mm from end
Scorching + Insignificant.
cratering + None to insignificant.
Comments + Excellent appearance (18 holes).
BACK CIGARETTES
Hole Depth: um. 13.0 mm from end
Scorching + Insignificant.
cratering : None to insignificant.
‘comments: Excellent appearance (18 holes).
Module: Brands
shift & pate: Paise: Power:
FRONT CIGARETTES
Hole Depth:
Scorching +
cratering +
Comments +
BACK CIGARETTES
Hole Depth:
Scorching +
cratering +
Comments +
ATXO2 0062194
### RESPONSE:
[
{
"fld_name" : "Week of",
"fld_value" : "Date Recelvea 1/25/91",
"path" : ["P. 8. 73-91"]
},
{
"fld_name" : "Modules",
"fld_value" : "412 Brana: CARLTON Filter 100's - 4 Mg Laser",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING"]
},
{
"fld_name" : "Hole Depth",
"fld_value" : "aim 13.0 mm from end",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "FRONT CIGARETTES"]
},
{
"fld_name" : "Scorching",
"fld_value" : "Insignificant",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "FRONT CIGARETTES"]
},
{
"fld_name" : "cratering",
"fld_value" : "None to insignificant",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "FRONT CIGARETTES"]
},
{
"fld_name" : "Comments",
"fld_value" : "Excellent appearance (18 holes)",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "FRONT CIGARETTES"]
},
{
"fld_name" : "Hole Depth",
"fld_value" : "um. 13.0 mm from end",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "BACK CIGARETTES"]
},
{
"fld_name" : "Scorching",
"fld_value" : "Insignificant",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "BACK CIGARETTES"]
},
{
"fld_name" : "cratering",
"fld_value" : "None to insignificant",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "BACK CIGARETTES"]
},
{
"fld_name" : "Comments",
"fld_value" : "Excellent appearance (18 holes)",
"path" : ["P. 8. 73-91", "LASER PERFORATED TIPPING APPEARANCE CHECK", "HOLE DEPTH, SCORCHING,- CRATERING", "BACK CIGARETTES"]
}
] |
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