orgrctera/uda_fin_qa huggingface dataset:
{"pre_text": ["supplementary information on oil and gas producing activities ( unaudited ) changes in the standardized measure of discounted future net cash flows ."], "post_text": ["."], "table": [["( in millions )", "2009", "2008", "2007"], ["sales and transfers of oil and gas produced net of production andadministrative costs", "$ -4876 ( 4876 )", "$ -6863 ( 6863 )", "$ -4613 ( 4613 )"], ["net changes in prices and production and administrative costs related tofuture production", "4840", "-18683 ( 18683 )", "12344"], ["extensions discoveries and improved recovery less related costs", "1399", "663", "1816"], ["development costs incurred during the period", "2786", "1774", "1569"], ["changes in estimated future development costs", "-3641 ( 3641 )", "-1436 ( 1436 )", "-1706 ( 1706 )"], ["revisions of previous quantity estimates", "5110", "85", "166"], ["net changes in purchases and sales of minerals in place", "-159 ( 159 )", "-13 ( 13 )", "23"], ["accretion of discount", "787", "2724", "1696"], ["net change in income taxes", "-4441 ( 4441 )", "12633", "-6647 ( 6647 )"], ["timing and other", "-149 ( 149 )", "184", "-31 ( 31 )"], ["net change for the year", "1656", "-8932 ( 8932 )", "4617"], ["beginning of the year", "4035", "12967", "8350"], ["end of year", "$ 5691", "$ 4035", "$ 12967"], ["net change for the year from discontinued operations", "$ -", "$ 284", "$ 528"]], "table_ori": [["(In millions)", "2009", "2008", "2007"], ["Sales and transfers of oil and gas produced, net of production andadministrative costs", "$(4,876)", "$(6,863)", "$(4,613)"], ["Net changes in prices and production and administrative costs related tofuture production", "4,840", "(18,683)", "12,344"], ["Extensions, discoveries and improved recovery, less related costs", "1,399", "663", "1,816"], ["Development costs incurred during the period", "2,786", "1,774", "1,569"], ["Changes in estimated future development costs", "(3,641)", "(1,436)", "(1,706)"], ["Revisions of previous quantity estimates", "5,110", "85", "166"], ["Net changes in purchases and sales of minerals in place", "(159)", "(13)", "23"], ["Accretion of discount", "787", "2,724", "1,696"], ["Net change in income taxes", "(4,441)", "12,633", "(6,647)"], ["Timing and other", "(149)", "184", "(31)"], ["Net change for the year", "1,656", "(8,932)", "4,617"], ["Beginning of the year", "4,035", "12,967", "8,350"], ["End of year", "$5,691", "$4,035", "$12,967"], ["Net change for the year from discontinued operations", "$-", "$284", "$528"]]}

Question: in millions , what was the average net change in discounted future cash flows for the three year period?
Evidence:
table_11: ( in millions ) the net change for the year of 2009 is 1656 ; the net change for the year of 2008 is -8932 ( 8932 ) ; the net change for the year of 2007 is 4617 ;
Program: table_average(net change for the year, none)
Answer:
str_answer: -886
exe_answer: -886.33333
{"pre_text": ["supplementary information on oil and gas producing activities ( unaudited ) changes in the standardized measure of discounted future net cash flows ."], "post_text": ["."], "table": [["( in millions )", "2009", "2008", "2007"], ["sales and transfers of oil and gas produced net of production andadministrative costs", "$ -4876 ( 4876 )", "$ -6863 ( 6863 )", "$ -4613 ( 4613 )"], ["net changes in prices and production and administrative costs related tofuture production", "4840", "-18683 ( 18683 )", "12344"], ["extensions discoveries and improved recovery less related costs", "1399", "663", "1816"], ["development costs incurred during the period", "2786", "1774", "1569"], ["changes in estimated future development costs", "-3641 ( 3641 )", "-1436 ( 1436 )", "-1706 ( 1706 )"], ["revisions of previous quantity estimates", "5110", "85", "166"], ["net changes in purchases and sales of minerals in place", "-159 ( 159 )", "-13 ( 13 )", "23"], ["accretion of discount", "787", "2724", "1696"], ["net change in income taxes", "-4441 ( 4441 )", "12633", "-6647 ( 6647 )"], ["timing and other", "-149 ( 149 )", "184", "-31 ( 31 )"], ["net change for the year", "1656", "-8932 ( 8932 )", "4617"], ["beginning of the year", "4035", "12967", "8350"], ["end of year", "$ 5691", "$ 4035", "$ 12967"], ["net change for the year from discontinued operations", "$ -", "$ 284", "$ 528"]], "table_ori": [["(In millions)", "2009", "2008", "2007"], ["Sales and transfers of oil and gas produced, net of production andadministrative costs", "$(4,876)", "$(6,863)", "$(4,613)"], ["Net changes in prices and production and administrative costs related tofuture production", "4,840", "(18,683)", "12,344"], ["Extensions, discoveries and improved recovery, less related costs", "1,399", "663", "1,816"], ["Development costs incurred during the period", "2,786", "1,774", "1,569"], ["Changes in estimated future development costs", "(3,641)", "(1,436)", "(1,706)"], ["Revisions of previous quantity estimates", "5,110", "85", "166"], ["Net changes in purchases and sales of minerals in place", "(159)", "(13)", "23"], ["Accretion of discount", "787", "2,724", "1,696"], ["Net change in income taxes", "(4,441)", "12,633", "(6,647)"], ["Timing and other", "(149)", "184", "(31)"], ["Net change for the year", "1,656", "(8,932)", "4,617"], ["Beginning of the year", "4,035", "12,967", "8,350"], ["End of year", "$5,691", "$4,035", "$12,967"], ["Net change for the year from discontinued operations", "$-", "$284", "$528"]]}

Question: were total revisions of estimates greater than accretion of discounts?
Evidence:
table_6: ( in millions ) the revisions of previous quantity estimates of 2009 is 5110 ; the revisions of previous quantity estimates of 2008 is 85 ; the revisions of previous quantity estimates of 2007 is 166 ;
table_8: ( in millions ) the accretion of discount of 2009 is 787 ; the accretion of discount of 2008 is 2724 ; the accretion of discount of 2007 is 1696 ;
Program: table_sum(revisions of previous quantity estimates, none), table_sum(accretion of discount, none), greater(#0, #1)
Answer:
str_answer: yes
exe_answer: yes
{"pre_text": ["the diluted earnings per share calculation excludes stock options , sars , restricted stock and units and performance units and stock that were anti-dilutive .", "shares underlying the excluded stock options and sars totaled 2.6 million , 10.3 million and 10.2 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively .", "for the year ended december 31 , 2016 , 4.5 million shares of restricted stock and restricted stock units and performance units and performance stock were excluded .", "10 .", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."], "post_text": ["eog's accrued capital expenditures at december 31 , 2017 , 2016 and 2015 were $ 475 million , $ 388 million and $ 416 million , respectively .", "non-cash investing activities for the year ended december 31 , 2017 included non-cash additions of $ 282 million to eog's oil and gas properties as a result of property exchanges .", "non-cash investing activities for the year ended december 31 , 2016 included $ 3834 million in non-cash additions to eog's oil and gas properties related to the yates transaction ( see note 17 ) .", "11 .", "business segment information eog's operations are all crude oil and natural gas exploration and production related .", "the segment reporting topic of the asc establishes standards for reporting information about operating segments in annual financial statements .", "operating segments are defined as components of an enterprise about which separate financial information is available and evaluated regularly by the chief operating decision maker , or decision-making group , in deciding how to allocate resources and in assessing performance .", "eog's chief operating decision-making process is informal and involves the chairman of the board and chief executive officer and other key officers .", "this group routinely reviews and makes operating decisions related to significant issues associated with each of eog's major producing areas in the united states , trinidad , the united kingdom and china .", "for segment reporting purposes , the chief operating decision maker considers the major united states producing areas to be one operating segment. ."], "table": [["", "2017", "2016", "2015"], ["interest net of capitalized interest", "$ 275305", "$ 252030", "$ 222088"], ["income taxes net of refunds received", "$ 188946", "$ -39293 ( 39293 )", "$ 41108"]], "table_ori": [["", "2017", "2016", "2015"], ["Interest, Net of Capitalized Interest", "$275,305", "$252,030", "$222,088"], ["Income Taxes, Net of Refunds Received", "$188,946", "$(39,293)", "$41,108"]]}

Question: what is the increase observed in the interest net of capitalized interest during 2016 and 2017?
Evidence:
table_1: the interest net of capitalized interest of 2017 is $ 275305 ; the interest net of capitalized interest of 2016 is $ 252030 ; the interest net of capitalized interest of 2015 is $ 222088 ;
Program: divide(275305, 252030), subtract(#0, const_1)
Answer:
str_answer: 9.235%
exe_answer: 0.09235
{"pre_text": ["eog resources , inc .", "supplemental information to consolidated financial statements ( continued ) capitalized costs relating to oil and gas producing activities .", "the following table sets forth the capitalized costs relating to eog's crude oil and natural gas producing activities at december 31 , 2017 and 2016: ."], "post_text": ["costs incurred in oil and gas property acquisition , exploration and development activities .", "the acquisition , exploration and development costs disclosed in the following tables are in accordance with definitions in the extractive industries - oil and a gas topic of the accounting standards codification ( asc ) .", "acquisition costs include costs incurred to purchase , lease or otherwise acquire property .", "exploration costs include additions to exploratory wells , including those in progress , and exploration expenses .", "development costs include additions to production facilities and equipment and additions to development wells , including those in progress. ."], "table": [["", "2017", "2016"], ["proved properties", "$ 48845672", "$ 45751965"], ["unproved properties", "3710069", "3840126"], ["total", "52555741", "49592091"], ["accumulated depreciation depletion and amortization", "-29191247 ( 29191247 )", "-26247062 ( 26247062 )"], ["net capitalized costs", "$ 23364494", "$ 23345029"]], "table_ori": [["", "2017", "2016"], ["Proved properties", "$48,845,672", "$45,751,965"], ["Unproved properties", "3,710,069", "3,840,126"], ["Total", "52,555,741", "49,592,091"], ["Accumulated depreciation, depletion and amortization", "(29,191,247)", "(26,247,062)"], ["Net capitalized costs", "$23,364,494", "$23,345,029"]]}

Question: what are the average cost of accumulated depreciation depletion and amortization for 2016 and 2017?
Evidence:
table_4: the accumulated depreciation depletion and amortization of 2017 is -29191247 ( 29191247 ) ; the accumulated depreciation depletion and amortization of 2016 is -26247062 ( 26247062 ) ;
Program: table_average(accumulated depreciation depletion and amortization, none)
Answer:
str_answer: 27719154.5
exe_answer: -27719154.5
{"pre_text": ["eog resources , inc .", "supplemental information to consolidated financial statements ( continued ) capitalized costs relating to oil and gas producing activities .", "the following table sets forth the capitalized costs relating to eog's crude oil and natural gas producing activities at december 31 , 2017 and 2016: ."], "post_text": ["costs incurred in oil and gas property acquisition , exploration and development activities .", "the acquisition , exploration and development costs disclosed in the following tables are in accordance with definitions in the extractive industries - oil and a gas topic of the accounting standards codification ( asc ) .", "acquisition costs include costs incurred to purchase , lease or otherwise acquire property .", "exploration costs include additions to exploratory wells , including those in progress , and exploration expenses .", "development costs include additions to production facilities and equipment and additions to development wells , including those in progress. ."], "table": [["", "2017", "2016"], ["proved properties", "$ 48845672", "$ 45751965"], ["unproved properties", "3710069", "3840126"], ["total", "52555741", "49592091"], ["accumulated depreciation depletion and amortization", "-29191247 ( 29191247 )", "-26247062 ( 26247062 )"], ["net capitalized costs", "$ 23364494", "$ 23345029"]], "table_ori": [["", "2017", "2016"], ["Proved properties", "$48,845,672", "$45,751,965"], ["Unproved properties", "3,710,069", "3,840,126"], ["Total", "52,555,741", "49,592,091"], ["Accumulated depreciation, depletion and amortization", "(29,191,247)", "(26,247,062)"], ["Net capitalized costs", "$23,364,494", "$23,345,029"]]}

Question: considering the year 2016 , what is the percentage of unproved properties among the total properties?
Evidence:
table_2: the unproved properties of 2017 is 3710069 ; the unproved properties of 2016 is 3840126 ;
table_3: the total of 2017 is 52555741 ; the total of 2016 is 49592091 ;
Program: divide(3840126, 49592091)
Answer:
str_answer: 7.74%
exe_answer: 0.07743
{"pre_text": ["the diluted earnings per share calculation excludes stock options , sars , restricted stock and units and performance units and stock that were anti-dilutive .", "shares underlying the excluded stock options and sars totaled 2.6 million , 10.3 million and 10.2 million for the years ended december 31 , 2017 , 2016 and 2015 , respectively .", "for the year ended december 31 , 2016 , 4.5 million shares of restricted stock and restricted stock units and performance units and performance stock were excluded .", "10 .", "supplemental cash flow information net cash paid for interest and income taxes was as follows for the years ended december 31 , 2017 , 2016 and 2015 ( in thousands ) : ."], "post_text": ["eog's accrued capital expenditures at december 31 , 2017 , 2016 and 2015 were $ 475 million , $ 388 million and $ 416 million , respectively .", "non-cash investing activities for the year ended december 31 , 2017 included non-cash additions of $ 282 million to eog's oil and gas properties as a result of property exchanges .", "non-cash investing activities for the year ended december 31 , 2016 included $ 3834 million in non-cash additions to eog's oil and gas properties related to the yates transaction ( see note 17 ) .", "11 .", "business segment information eog's operations are all crude oil and natural gas exploration and production related .", "the segment reporting topic of the asc establishes standards for reporting information about operating segments in annual financial statements .", "operating segments are defined as components of an enterprise about which separate financial information is available and evaluated regularly by the chief operating decision maker , or decision-making group , in deciding how to allocate resources and in assessing performance .", "eog's chief operating decision-making process is informal and involves the chairman of the board and chief executive officer and other key officers .", "this group routinely reviews and makes operating decisions related to significant issues associated with each of eog's major producing areas in the united states , trinidad , the united kingdom and china .", "for segment reporting purposes , the chief operating decision maker considers the major united states producing areas to be one operating segment. ."], "table": [["", "2017", "2016", "2015"], ["interest net of capitalized interest", "$ 275305", "$ 252030", "$ 222088"], ["income taxes net of refunds received", "$ 188946", "$ -39293 ( 39293 )", "$ 41108"]], "table_ori": [["", "2017", "2016", "2015"], ["Interest, Net of Capitalized Interest", "$275,305", "$252,030", "$222,088"], ["Income Taxes, Net of Refunds Received", "$188,946", "$(39,293)", "$41,108"]]}

Question: what is the increase observed in accrued capital expenditures during 2016 and 2017?
Evidence:
text_5: eog's accrued capital expenditures at december 31 , 2017 , 2016 and 2015 were $ 475 million , $ 388 million and $ 416 million , respectively .
Program: divide(475, 388), subtract(#0, const_1)
Answer:
str_answer: 22.42%
exe_answer: 0.22423
{"pre_text": ["properties 51vornado realty trust industrial properties our dry warehouse/industrial properties consist of seven buildings in new jersey containing approximately 1.5 million square feet .", "the properties are encumbered by two cross-collateralized mortgage loans aggregating $ 47179000 as of december 31 , 2006 .", "average lease terms range from three to five years .", "the following table sets forth the occupancy rate and average annual rent per square foot at the end of each of the past five years .", "average annual occupancy rent per as of december 31 , rate square foot ."], "post_text": ["220 central park south , new york city we own a 90% ( 90 % ) interest in 220 central park south .", "the property contains 122 rental apartments with an aggregate of 133000 square feet and 5700 square feet of commercial space .", "on november 7 , 2006 , we completed a $ 130000000 refinancing of the property .", "the loan has two tranches : the first tranche of $ 95000000 bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.35% ( 2.35 % ) ( 7.70% ( 7.70 % ) as of december 31 , 2006 ) and the second tranche can be drawn up to $ 35000000 and bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.45% ( 2.45 % ) ( 7.80% ( 7.80 % ) as of december 31 , 2006 ) .", "as of december 31 , 2006 , approximately $ 27990000 has been drawn on the second tranche .", "40 east 66th street , new york city 40 east 66th street , located at madison avenue and east 66th street , contains 37 rental apartments with an aggregate of 85000 square feet , and 10000 square feet of retail space .", "the rental apartment operations are included in our other segment and the retail operations are included in the retail segment. ."], "table": [["as of december 31,", "occupancy rate", "average annual rent per square foot"], ["2006", "96.9% ( 96.9 % )", "$ 4.17"], ["2005", "100.0% ( 100.0 % )", "4.19"], ["2004", "88.0% ( 88.0 % )", "3.96"], ["2003", "88.0% ( 88.0 % )", "3.86"], ["2002", "100.0% ( 100.0 % )", "3.89"]], "table_ori": [["As of December 31,", "Occupancy Rate", "Average Annual Rent Per Square Foot"], ["2006", "96.9%", "$4.17"], ["2005", "100.0%", "4.19"], ["2004", "88.0%", "3.96"], ["2003", "88.0%", "3.86"], ["2002", "100.0%", "3.89"]]}

Question: average annual rent per square foot changed in 2005 from 2004 by what amount?
Evidence:
table_2: as of december 31 , the 2005 of occupancy rate is 100.0% ( 100.0 % ) ; the 2005 of average annual rent per square foot is 4.19 ;
table_3: as of december 31 , the 2004 of occupancy rate is 88.0% ( 88.0 % ) ; the 2004 of average annual rent per square foot is 3.96 ;
Program: multiply(4.19, 3.96)
Answer:
str_answer: 0.23
exe_answer: 16.5924
{"pre_text": ["properties 51vornado realty trust industrial properties our dry warehouse/industrial properties consist of seven buildings in new jersey containing approximately 1.5 million square feet .", "the properties are encumbered by two cross-collateralized mortgage loans aggregating $ 47179000 as of december 31 , 2006 .", "average lease terms range from three to five years .", "the following table sets forth the occupancy rate and average annual rent per square foot at the end of each of the past five years .", "average annual occupancy rent per as of december 31 , rate square foot ."], "post_text": ["220 central park south , new york city we own a 90% ( 90 % ) interest in 220 central park south .", "the property contains 122 rental apartments with an aggregate of 133000 square feet and 5700 square feet of commercial space .", "on november 7 , 2006 , we completed a $ 130000000 refinancing of the property .", "the loan has two tranches : the first tranche of $ 95000000 bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.35% ( 2.35 % ) ( 7.70% ( 7.70 % ) as of december 31 , 2006 ) and the second tranche can be drawn up to $ 35000000 and bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.45% ( 2.45 % ) ( 7.80% ( 7.80 % ) as of december 31 , 2006 ) .", "as of december 31 , 2006 , approximately $ 27990000 has been drawn on the second tranche .", "40 east 66th street , new york city 40 east 66th street , located at madison avenue and east 66th street , contains 37 rental apartments with an aggregate of 85000 square feet , and 10000 square feet of retail space .", "the rental apartment operations are included in our other segment and the retail operations are included in the retail segment. ."], "table": [["as of december 31,", "occupancy rate", "average annual rent per square foot"], ["2006", "96.9% ( 96.9 % )", "$ 4.17"], ["2005", "100.0% ( 100.0 % )", "4.19"], ["2004", "88.0% ( 88.0 % )", "3.96"], ["2003", "88.0% ( 88.0 % )", "3.86"], ["2002", "100.0% ( 100.0 % )", "3.89"]], "table_ori": [["As of December 31,", "Occupancy Rate", "Average Annual Rent Per Square Foot"], ["2006", "96.9%", "$4.17"], ["2005", "100.0%", "4.19"], ["2004", "88.0%", "3.96"], ["2003", "88.0%", "3.86"], ["2002", "100.0%", "3.89"]]}

Question: for the 2006 refinancing , as of december 31 , 2006 , approximately what percentage as been drawn on the second tranche?
Evidence:
text_8: the loan has two tranches : the first tranche of $ 95000000 bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.35% ( 2.35 % ) ( 7.70% ( 7.70 % ) as of december 31 , 2006 ) and the second tranche can be drawn up to $ 35000000 and bears interest at libor ( capped at 5.50% ( 5.50 % ) ) plus 2.45% ( 2.45 % ) ( 7.80% ( 7.80 % ) as of december 31 , 2006 ) .
text_9: as of december 31 , 2006 , approximately $ 27990000 has been drawn on the second tranche .
Program: divide(27990000, 35000000)
Answer:
str_answer: 80%
exe_answer: 0.79971