orgrctera/uda_fin_qa huggingface dataset:
{"pre_text": ["the remaining change in other expense was driven primarily by changes on foreign currency exchange instruments as further discussed in note 7 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "income taxes ."], "post_text": ["for discussion on income taxes , see note 8 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "discontinued operations discontinued operations net earnings increased primarily due to the gain on the sale of our aggregate ownership interests in enlink and the general partner of $ 2.6 billion ( $ 2.2 billion after-tax ) .", "for discussion on discontinued operations , see note 19 in 201citem 8 .", "financial statements and supplementary data 201d of this report 201d of this report .", "results of operations 2013 2017 vs .", "2016 the graph below shows the change in net earnings from 2016 to 2017 .", "the material changes are further discussed by category on the following pages .", "to facilitate the review , these numbers are being presented before consideration of earnings attributable to noncontrolling interests .", "$ 1308 ( $ 165 ) ( $ 4 ) $ 1 $ 63 $ 400 ( $ 397 ) $ 126 $ 1204 ( $ 1458 ) $ 1078 2016 upstream operations marketing operations exploration expenses dd&a g&a financing costs , net other ( 1 ) income discontinued operations net earnings ( 1 ) other in the table above includes asset impairments , asset dispositions , restructuring and transaction costs and other expenses .", "the graph below presents the drivers of the upstream operations change presented above , with additional details and discussion of the drivers following the graph .", "( $ 427 ) ( $ 427 ) $ 1395$ 1 395 $ 2176$ 2 176 $ 3484 2016 production volumes field prices hedging 2017 upstream operations expenses ."], "table": [["", "2018", "2017"], ["current expense ( benefit )", "$ -70 ( 70 )", "$ 112"], ["deferred expense ( benefit )", "226", "-97 ( 97 )"], ["total expense", "$ 156", "$ 15"], ["effective income tax rate", "17% ( 17 % )", "2% ( 2 % )"]], "table_ori": [["", "2018", "2017"], ["Current expense (benefit)", "$(70)", "$112"], ["Deferred expense (benefit)", "226", "(97)"], ["Total expense", "$156", "$15"], ["Effective income tax rate", "17%", "2%"]]}

Question: what is the percentage increase in total expense from 2017 to 2018?
Evidence:
table_3: the total expense of 2018 is $ 156 ; the total expense of 2017 is $ 15 ;
text_2: income taxes .
Program: subtract(156, 15), divide(#0, 15), multiply(#1, const_100)
Answer:
str_answer: 940%
exe_answer: 940
{"pre_text": ["the remaining change in other expense was driven primarily by changes on foreign currency exchange instruments as further discussed in note 7 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "income taxes ."], "post_text": ["for discussion on income taxes , see note 8 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "discontinued operations discontinued operations net earnings increased primarily due to the gain on the sale of our aggregate ownership interests in enlink and the general partner of $ 2.6 billion ( $ 2.2 billion after-tax ) .", "for discussion on discontinued operations , see note 19 in 201citem 8 .", "financial statements and supplementary data 201d of this report 201d of this report .", "results of operations 2013 2017 vs .", "2016 the graph below shows the change in net earnings from 2016 to 2017 .", "the material changes are further discussed by category on the following pages .", "to facilitate the review , these numbers are being presented before consideration of earnings attributable to noncontrolling interests .", "$ 1308 ( $ 165 ) ( $ 4 ) $ 1 $ 63 $ 400 ( $ 397 ) $ 126 $ 1204 ( $ 1458 ) $ 1078 2016 upstream operations marketing operations exploration expenses dd&a g&a financing costs , net other ( 1 ) income discontinued operations net earnings ( 1 ) other in the table above includes asset impairments , asset dispositions , restructuring and transaction costs and other expenses .", "the graph below presents the drivers of the upstream operations change presented above , with additional details and discussion of the drivers following the graph .", "( $ 427 ) ( $ 427 ) $ 1395$ 1 395 $ 2176$ 2 176 $ 3484 2016 production volumes field prices hedging 2017 upstream operations expenses ."], "table": [["", "2018", "2017"], ["current expense ( benefit )", "$ -70 ( 70 )", "$ 112"], ["deferred expense ( benefit )", "226", "-97 ( 97 )"], ["total expense", "$ 156", "$ 15"], ["effective income tax rate", "17% ( 17 % )", "2% ( 2 % )"]], "table_ori": [["", "2018", "2017"], ["Current expense (benefit)", "$(70)", "$112"], ["Deferred expense (benefit)", "226", "(97)"], ["Total expense", "$156", "$15"], ["Effective income tax rate", "17%", "2%"]]}

Question: what was the tax rate on the net earnings due to the gain on the sale of our aggregate ownership interests in enlink discontinued operations
Evidence:
text_5: discontinued operations discontinued operations net earnings increased primarily due to the gain on the sale of our aggregate ownership interests in enlink and the general partner of $ 2.6 billion ( $ 2.2 billion after-tax ) .
Program: subtract(2.6, 2.2), divide(#0, 2.2)
Answer:
str_answer: 18.2%
exe_answer: 0.18182
{"pre_text": ["the remaining change in other expense was driven primarily by changes on foreign currency exchange instruments as further discussed in note 7 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "income taxes ."], "post_text": ["for discussion on income taxes , see note 8 in 201citem 8 .", "financial statements and supplementary data 201d of this report .", "discontinued operations discontinued operations net earnings increased primarily due to the gain on the sale of our aggregate ownership interests in enlink and the general partner of $ 2.6 billion ( $ 2.2 billion after-tax ) .", "for discussion on discontinued operations , see note 19 in 201citem 8 .", "financial statements and supplementary data 201d of this report 201d of this report .", "results of operations 2013 2017 vs .", "2016 the graph below shows the change in net earnings from 2016 to 2017 .", "the material changes are further discussed by category on the following pages .", "to facilitate the review , these numbers are being presented before consideration of earnings attributable to noncontrolling interests .", "$ 1308 ( $ 165 ) ( $ 4 ) $ 1 $ 63 $ 400 ( $ 397 ) $ 126 $ 1204 ( $ 1458 ) $ 1078 2016 upstream operations marketing operations exploration expenses dd&a g&a financing costs , net other ( 1 ) income discontinued operations net earnings ( 1 ) other in the table above includes asset impairments , asset dispositions , restructuring and transaction costs and other expenses .", "the graph below presents the drivers of the upstream operations change presented above , with additional details and discussion of the drivers following the graph .", "( $ 427 ) ( $ 427 ) $ 1395$ 1 395 $ 2176$ 2 176 $ 3484 2016 production volumes field prices hedging 2017 upstream operations expenses ."], "table": [["", "2018", "2017"], ["current expense ( benefit )", "$ -70 ( 70 )", "$ 112"], ["deferred expense ( benefit )", "226", "-97 ( 97 )"], ["total expense", "$ 156", "$ 15"], ["effective income tax rate", "17% ( 17 % )", "2% ( 2 % )"]], "table_ori": [["", "2018", "2017"], ["Current expense (benefit)", "$(70)", "$112"], ["Deferred expense (benefit)", "226", "(97)"], ["Total expense", "$156", "$15"], ["Effective income tax rate", "17%", "2%"]]}

Question: what was the ratio in the total tax expense from 2018 to 2017
Evidence:
table_3: the total expense of 2018 is $ 156 ; the total expense of 2017 is $ 15 ;
Program: divide(156, 15)
Answer:
str_answer: 10.4
exe_answer: 10.4
{"pre_text": ["measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite ."], "post_text": ["."], "table": [["measurement pointdecember 31", "the priceline group inc .", "nasdaqcomposite index", "s&p 500index", "rdg internetcomposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]], "table_ori": [["Measurement PointDecember 31", "The Priceline Group Inc.", "NASDAQComposite Index", "S&P 500Index", "RDG InternetComposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]]}

Question: what was the percent of the growth in measurement of the the priceline group inc . from 2014 to 2015
Evidence:
table_4: measurement pointdecember 31 the 2014 of the priceline group inc . is 243.79 ; the 2014 of nasdaqcomposite index is 188.69 ; the 2014 of s&p 500index is 174.60 ; the 2014 of rdg internetcomposite is 192.42 ;
table_5: measurement pointdecember 31 the 2015 of the priceline group inc . is 272.59 ; the 2015 of nasdaqcomposite index is 200.32 ; the 2015 of s&p 500index is 177.01 ; the 2015 of rdg internetcomposite is 264.96 ;
Program: subtract(272.59, 243.79), divide(#0, 243.79)
Answer:
str_answer: 11.8%
exe_answer: 0.11813
{"pre_text": ["measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite ."], "post_text": ["."], "table": [["measurement pointdecember 31", "the priceline group inc .", "nasdaqcomposite index", "s&p 500index", "rdg internetcomposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]], "table_ori": [["Measurement PointDecember 31", "The Priceline Group Inc.", "NASDAQComposite Index", "S&P 500Index", "RDG InternetComposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]]}

Question: what was the difference in percentage change in priceline group and the s&p 500 index for the five year period ended 2016?
Evidence:
table_1: measurement pointdecember 31 the 2011 of the priceline group inc . is 100.00 ; the 2011 of nasdaqcomposite index is 100.00 ; the 2011 of s&p 500index is 100.00 ; the 2011 of rdg internetcomposite is 100.00 ;
table_6: measurement pointdecember 31 the 2016 of the priceline group inc . is 313.45 ; the 2016 of nasdaqcomposite index is 216.54 ; the 2016 of s&p 500index is 198.18 ; the 2016 of rdg internetcomposite is 277.56 ;
Program: subtract(313.45, const_100), divide(#0, const_100), subtract(198.18, const_100), divide(#2, const_100), subtract(#1, #3)
Answer:
str_answer: 115.27%
exe_answer: 1.1527
{"pre_text": ["measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite ."], "post_text": ["."], "table": [["measurement pointdecember 31", "the priceline group inc .", "nasdaqcomposite index", "s&p 500index", "rdg internetcomposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]], "table_ori": [["Measurement PointDecember 31", "The Priceline Group Inc.", "NASDAQComposite Index", "S&P 500Index", "RDG InternetComposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]]}

Question: what was the percentage change in priceline group for the five year period ended 2016?
Evidence:
table_1: measurement pointdecember 31 the 2011 of the priceline group inc . is 100.00 ; the 2011 of nasdaqcomposite index is 100.00 ; the 2011 of s&p 500index is 100.00 ; the 2011 of rdg internetcomposite is 100.00 ;
table_6: measurement pointdecember 31 the 2016 of the priceline group inc . is 313.45 ; the 2016 of nasdaqcomposite index is 216.54 ; the 2016 of s&p 500index is 198.18 ; the 2016 of rdg internetcomposite is 277.56 ;
Program: subtract(313.45, const_100), divide(#0, const_100)
Answer:
str_answer: 213.45%
exe_answer: 2.1345
{"pre_text": ["measurement point december 31 the priceline group nasdaq composite index s&p 500 rdg internet composite ."], "post_text": ["."], "table": [["measurement pointdecember 31", "the priceline group inc .", "nasdaqcomposite index", "s&p 500index", "rdg internetcomposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]], "table_ori": [["Measurement PointDecember 31", "The Priceline Group Inc.", "NASDAQComposite Index", "S&P 500Index", "RDG InternetComposite"], ["2011", "100.00", "100.00", "100.00", "100.00"], ["2012", "132.64", "116.41", "116.00", "119.34"], ["2013", "248.53", "165.47", "153.58", "195.83"], ["2014", "243.79", "188.69", "174.60", "192.42"], ["2015", "272.59", "200.32", "177.01", "264.96"], ["2016", "313.45", "216.54", "198.18", "277.56"]]}

Question: at the measurement point december 312016 what was the ratio of the the priceline group inc . . to the nasdaqcomposite index
Evidence:
table_6: measurement pointdecember 31 the 2016 of the priceline group inc . is 313.45 ; the 2016 of nasdaqcomposite index is 216.54 ; the 2016 of s&p 500index is 198.18 ; the 2016 of rdg internetcomposite is 277.56 ;
Program: divide(313.45, 216.54)
Answer:
str_answer: 1.44
exe_answer: 1.44754