human
'Here are some charts with complex questions and their step by step answer programs:\n\nColumn names for the chart: Characteristic, Female, Male \nRow names for the chart: Characteristic, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009\nQuestion: How many more men were there than women in 2018?\n# Program to answer the question by decomposing: \nans_1 = VQA("men", "2018")\nans_2 = VQA("women",
"2018")\nans = ans_1 - ans_2\n\nQuestion: What is the average number of men from 2009 to 2012?\n# Program to answer the question by decomposing: \nans_1 = VQA("men", "2009")\nans_2 = VQA("men", "2010")\nans_3 = VQA("men", "2011")\nans_4 = VQA("men", "2012")\nans = AVG([ans_1, ans_2, ans_3, ans_4])\nColumn names for the chart: Country, Political participation and competition, Eastern Europe, 1911 \nRow names for the chart: Country, Political competition, Political participation\nQuestion: How many times is political competition bigger than political participation?\n# Program to answer the question by decomposing: \nans_1 = VQA("political competition")\nans_2 = VQA("political participation")\nans = ans_1 / ans_2\nColumn names for the chart: Country, Agricultural support \nRow names for the chart: Country, New Zealand,
India, Coombia, Korea, Japan\nQuestion: What\'s the total value of japan and Colombia?\n# Program to answer the question by decomposing: \nans_1 = VQA("japan")\nans_2 = VQA("colombia")\nans = ans_1 + ans_2\nColumn names for the chart: Country, DALYs from eating disorders by age, Albania, 2011 \nRow names for the chart: Country, 15-49 years old, Age-standardized, All ages, 5-14 years old, 70+ years old, 50-69 years old\nQuestion: How many age groups are shown?\n# Program to answer the question by decomposing: \nans = COUNT(categories)\nFor the chart below, generate 3 compositional questions and programs to answer them. Format like above examples and start with "Question: ".\nColumn names for the chart: Entity, 2015, 2016, 2017, 2018, 2019, 2020, 2021 \nRow names for the chart: Entity, Nigeria, Extreme fragility, Africa, Fragile, World, India'
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open