This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning). 
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning types are illustrated in the 'positive examples' field) and also have a variety of answer types (spans, numbers, dates). A span is a continuous phrase taken directly from the passage or question. In such questions, the answer spans are recommended to be five words. Questions with answer type "number", are expected to start with "How many". For instance, "How long did an event last?" can be phrased as "How many years did an event last?". To increase diversity, try to create more questions for which the answer will be multiple spans. Please create questions that require AT LEAST 2 arithmetic operations as illustrated in the 'positive examples' field. You are encouraged to try DIFFERENT COMBINATIONS of operations and not just limit to the combinations shown in those examples. The more challenging questions you create, the better it is.

Ex Input:
Passage: In 2007-2008, Sun posted revenue of $13.8 billion and had $2 billion in cash. First-quarter 2008 losses were $1.68 billion; revenue fell 7% to $12.99 billion. Suns stock lost 80% of its value November 2007 to November 2008, reducing the companys market value to $3 billion. With falling sales to large corporate clients, Sun announced plans to lay off 5,000 to 6,000 workers, or 15-18% of its work force. It expected to save $700 million to $800 million a year as a result of the moves, while also taking up to $600 million in charges.

Ex Output:
How many billion did Sun's revenue fall by in the first quarter of 2008?


Ex Input:
Passage: Between 1911 and 1915, Haiti was politically unstable: a series of political assassinations and forced exiles resulted in six presidents holding office during this period. Various revolutionary armies carried out the coups. Each was formed by cacos, or peasant militia from the mountains of the north, or who invaded along the porous Dominican border. They were enlisted by rival political factions under the promises of money, which would be paid after a successful revolution, and the opportunity to plunder. The United States was particularly apprehensive about the roles  played by Imperial Germany in the Western hemisphere. Controlling Tortuga, it had intervened in Haiti  and other Caribbean nations at several times during the previous few decades to exert its influence as a rival power. Germany was increasingly hostile to United States domination of the region under its claimed Monroe Doctrine. In the lead-up to the World War I, the strategic importance of the island of Hispaniola, with its manpower, material wealth, and port facilities, was understood by almost all navies operating in the Caribbean, including Germany and the still-neutral United States. Germany had invested in military and intelligence gathering across Hispaniola as part of a wider network of German interest in Latin America and the Caribbean during the 1890s through the 1910s. The United States' concern over Germany's ambitions was mirrored by apprehension and rivalry between American businessmen and the small German community in Haiti, which although numbering only about 200 in 1910 wielded a disproportionate amount of economic power. German nationals controlled about 80 percent of the country's international commerce. They owned and operated utilities in Cap-Haïten and Port-au-Prince, including the main wharf and a tramway in the capital, and also had built the railway serving the Plain of the Cul-de-Sac.

Ex Output:
For how many decades was Germany building up a miltary and intelligence network in Hispaniola?


Ex Input:
Passage: As of the census of 2010, there were 22,915 people, 7,953 households, and 5,748 families residing in the county.  The population density was 37 people per square mile (14/km2).  There were 8,981 housing units at an average density of 14.3 per square mile (5.5/km2).  The racial makeup of the county was 75.8% Race (United States Census), 22.0% Race (United States Census) or Race (United States Census), 0.3% Race (United States Census), 0.1% Race (United States Census), 0.1% Race (United States Census), 0.8% from Race (United States Census), and 0.9% from two or more races.  1.8% of the population were Race (United States Census) or Race (United States Census) of any race.

Ex Output:

How many households and families are in the county according to the census?