human
Here are some plots with reasoning questions can be answered by decomposing into several simple functions: \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?\nAnswer: \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?\nAnswer: \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]) \n Column 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?\nAnswer: \nans_1 = VQA("political competition")\nans_2 = VQA("political participation")\nans = ans_1 / ans_2 \n Column 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 for japan and Colombia?\nAnswer: \nans_1 = VQA("japan")\nans_2 = VQA("colombia")\nans = ans_1 + ans_2\n\nQuestion: How many categories are shown in the plot?\nAnswer: \nans = COUNT(categories) \n Column 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?\nAnswer: \nans = COUNT(categories) \n For the chart below, generate 3 complex reasoning questions with programs to get the answer (using variable ans) by decomposing into steps calling simple functions including VQA, COUNT, AVG. Format like above examples and start with "Question: ".Column 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