messages listlengths 1 1 | answers listlengths 1 1 | document stringlengths 103 9.68k | id int64 0 29.2k | context_list listlengths 1 1 | top_k_ctx_list listlengths 5 6 | cosine_similarity_value listlengths 5 6 | top_k_ctx_ids listlengths 5 6 | split stringclasses 1
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|---|---|---|---|---|---|---|---|---|
[
{
"content": "Which job category made up majority of the jobs in the secondary sector?",
"role": "user"
}
] | [
"manufacturing"
] | The total number of full-time equivalent jobs was 256. The number of jobs in the primary sector was 162, of which 152 were in agriculture and 9 were in forestry or lumber production. The number of jobs in the secondary sector was 45 of which 29 or (64.4%) were in manufacturing and 16 (35.6%) were in construction. Th... | 28,700 | [
"The total number of full-time equivalent jobs was 256. The number of jobs in the primary sector was 162, of which 152 were in agriculture and 9 were in forestry or lumber production. The number of jobs in the secondary sector was 45 of which 29 or (64.4%) were in manufacturing and 16 (35.6%) were in construction... | [
"The total number of full-time equivalent jobs was 256. The number of jobs in the primary sector was 162, of which 152 were in agriculture and 9 were in forestry or lumber production. The number of jobs in the secondary sector was 45 of which 29 or (64.4%) were in manufacturing and 16 (35.6%) were in construction... | [
1,
0.999423027,
0.999154985,
0.9990382791,
0.9917599559,
0.9912298918
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2694
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[
{
"content": "Which were there more households of, those with a single person or those with two people?",
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}
] | [
"single person"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,701 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
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[
{
"content": "Which were there more of, households with a car or households with mobile phones?",
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}
] | [
"mobile phones"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,702 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
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[
{
"content": "Which household consumption cost more, transport or food and beverages excluding alcohol?",
"role": "user"
}
] | [
"transport"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,703 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
0.9999999404,
0.9921689034,
0.9913500547,
0.9910678864,
0.9908955693,
0.9908885956
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4791,
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794,
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[
{
"content": "Did more households have two people or three or more people?",
"role": "user"
}
] | [
"two"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,704 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
0.9999999404,
0.9921689034,
0.9913500547,
0.9910678864,
0.9908955693,
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4824,
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4791,
2160,
794,
912
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[
{
"content": "Did households spend more money on housing or transport?",
"role": "user"
}
] | [
"housing"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,705 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
0.9999999404,
0.9921689034,
0.9913500547,
0.9910678864,
0.9908955693,
0.9908885956
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4824,
4011,
4791,
2160,
794,
912
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[
{
"content": "Which household consuemen an average of less than 21000 euros?",
"role": "user"
}
] | [
"lower-level white-collar"
] | In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residential pro... | 28,706 | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
"In 2006, there were 2,381,500 households of average size 2.1 people. Forty percent of households consisted of single person, 32 percent two and 28 percent three or more. There were 1.2 million residential buildings in Finland and the average residential space was 38 square metres per person. The average residentia... | [
0.9999999404,
0.9921689034,
0.9913500547,
0.9910678864,
0.9908955693,
0.9908885956
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4011,
4791,
2160,
794,
912
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[
{
"content": "What three metals are measured in milligrams per liter of water?",
"role": "user"
}
] | [
"iron"
] | The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concentratio... | 28,707 | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
0.9999999404,
0.9916609526,
0.9889370203,
0.9885807037,
0.9884567261,
0.9877774715
] | [
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4727,
60,
4922,
2694
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[
{
"content": "Which does the Lackawanna River near Coxton Road have a lower average concentration of, iron or manganese?",
"role": "user"
}
] | [
"manganese"
] | The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concentratio... | 28,708 | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
0.9999999404,
0.9916609526,
0.9889370203,
0.9885807037,
0.9884567261,
0.9877774715
] | [
4825,
4867,
4727,
60,
4922,
2694
] | train |
[
{
"content": "Which has a higher range of concentration, alkalinity concentration or sulfate concentration?",
"role": "user"
}
] | [
"sulfate concentration"
] | The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concentratio... | 28,709 | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
"The iron concentration in the Lackawanna River near Coxton Road ranged from less than 1.21 to 10.5 milligrams per liter, with an average of 3.98 milligrams per liter. The amount of manganese ranged from less than 0.199 to 1.35 milligrams per liter, with an average of 0.67 milligrams per liter. The aluminum concent... | [
0.9999999404,
0.9916609526,
0.9889370203,
0.9885807037,
0.9884567261,
0.9877774715
] | [
4825,
4867,
4727,
60,
4922,
2694
] | train |
[
{
"content": "Were more people between 25 to 44 or 45 and older?",
"role": "user"
}
] | [
"45 and older"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,710 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
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3589,
3147
] | train |
[
{
"content": "Were more people under the age of 18 or 45 and older?",
"role": "user"
}
] | [
"45 and older"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,711 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Were more people between 18 and 44 or 65 years of age and older?",
"role": "user"
}
] | [
"between 18 and 44"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,712 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Were more people between 18 and 44 or 45 and older?",
"role": "user"
}
] | [
"between 18 and 44"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,713 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group had the most people?",
"role": "user"
}
] | [
"25 to 44"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,714 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
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3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group had the least people?",
"role": "user"
}
] | [
"18 and 24"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,715 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group had the second most people?",
"role": "user"
}
] | [
"45 to 64"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,716 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group had the third most people?",
"role": "user"
}
] | [
"under the age of 18"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,717 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group had the fourth most people?",
"role": "user"
}
] | [
"65 years of age"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,718 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age groups in percent are larger than 18%?",
"role": "user"
}
] | [
"under the age of 18"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,719 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group is larger: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"25 to 44"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,720 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which gender group is larger: females or male?",
"role": "user"
}
] | [
"females"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,721 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which gender group is smaller: females or male?",
"role": "user"
}
] | [
"male"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,722 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group is larger: under the age of 18 or 18 and 24?",
"role": "user"
}
] | [
"under the age of 18"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,723 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group is smaller: under the age of 18 or 18 and 24?",
"role": "user"
}
] | [
"18 and 24"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,724 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
] | [
4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Which age group is smaller: 25 to 44 or 45 to 64?",
"role": "user"
}
] | [
"45 to 64"
] | The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females. | 28,725 | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females."
] | [
"The median age in the city was 35.1 years. 24.2% of residents were under the age of 18; 7.9% were between the ages of 18 and 24; 33.8% were from 25 to 44; 24.6% were from 45 to 64; and 9.5% were 65 years of age or older. The gender makeup of the city was 48.6% male and 51.4% females.",
"The median age in the cit... | [
0.9999999404,
0.9997801781,
0.9934678078,
0.9930150509,
0.9929254651,
0.992333591
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4826,
3368,
4521,
1466,
3589,
3147
] | train |
[
{
"content": "Who made more money, Beyoncé or Madonna?",
"role": "user"
}
] | [
"Beyoncé"
] | Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fourth o... | 28,726 | [
"Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fou... | [
"Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fou... | [
1,
0.9868682623,
0.9864830375,
0.985909462,
0.9858527184,
0.9855458736
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4827,
4868,
4718,
4839,
4548,
4336
] | train |
[
{
"content": "Who is Beyoncé married to?",
"role": "user"
}
] | [
"Jay-Z"
] | Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fourth o... | 28,727 | [
"Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fou... | [
"Forbes (magazine) magazine began reporting on Beyoncés earnings in 2008, calculating that the $80 million earned between June 2007 to June 2008, for her music, tour, films and clothing line made her the worlds best-paid music personality at the time, above Madonna (entertainer) and Celine Dion. They placed her fou... | [
1,
0.9868682623,
0.9864830375,
0.985909462,
0.9858527184,
0.9855458736
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4827,
4868,
4718,
4839,
4548,
4336
] | train |
[
{
"content": "Was the public debt ratio higher in 2016 or 2008?",
"role": "user"
}
] | [
"2016"
] | Lithuanian GDP experienced very high real growth rates for decade up to 2009, peaking at 11.1% in 2007. As a result, the country was often termed as a Baltic Tiger. However, 2009, due to Financial crisis of 2007–2008 marked experienced a drastic decline – GDP contracted by 14.9% and unemployment rate reached 17.8% in 2... | 28,728 | [
"Lithuanian GDP experienced very high real growth rates for decade up to 2009, peaking at 11.1% in 2007. As a result, the country was often termed as a Baltic Tiger. However, 2009, due to Financial crisis of 2007–2008 marked experienced a drastic decline – GDP contracted by 14.9% and unemployment rate reached 17.8%... | [
"Lithuanian GDP experienced very high real growth rates for decade up to 2009, peaking at 11.1% in 2007. As a result, the country was often termed as a Baltic Tiger. However, 2009, due to Financial crisis of 2007–2008 marked experienced a drastic decline – GDP contracted by 14.9% and unemployment rate reached 17.8%... | [
1.0000002384,
0.9949011803,
0.9941831231,
0.9931664467,
0.993023634,
0.9928247333
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4828,
3408,
4665,
4341,
1392,
2508
] | train |
[
{
"content": "Which architects were alive into the 1870s and not beyond 1880?",
"role": "user"
}
] | [
"William Burn"
] | In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsford Ho... | 28,729 | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
0.9999999404,
0.9933937788,
0.9931411743,
0.9922386408,
0.9921840429,
0.9916636944
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4829,
100,
3104,
477,
2053,
2133
] | train |
[
{
"content": "Which architects did not live for more than 70 years?",
"role": "user"
}
] | [
"Frederick Thomas Pilkington"
] | In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsford Ho... | 28,730 | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
0.9999999404,
0.9933937788,
0.9931411743,
0.9922386408,
0.9921840429,
0.9916636944
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4829,
100,
3104,
477,
2053,
2133
] | train |
[
{
"content": "Which Edward lived for a longer time, Blore or Calvert?",
"role": "user"
}
] | [
"Calvert"
] | In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsford Ho... | 28,731 | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
"In Scotland, while a similar Gothic style to that used further south in England was adopted by figures including Frederick Thomas Pilkington (1832-98) in secular architecture it was marked by the re-adoption of the Scots baronial style. Important for the adoption of the style in the early 19th century was Abbotsfo... | [
0.9999999404,
0.9933937788,
0.9931411743,
0.9922386408,
0.9921840429,
0.9916636944
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4829,
100,
3104,
477,
2053,
2133
] | train |
[
{
"content": "Which expedition Vitus Berings Pacific expedition lasted the longest?",
"role": "user"
}
] | [
"1733–1742"
] | In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal settleme... | 28,732 | [
"In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal set... | [
"In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal set... | [
0.9999999404,
0.9943102002,
0.9939084649,
0.9937517643,
0.9934893847,
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4830,
2647,
3546,
2681,
3419,
2173
] | train |
[
{
"content": "Which were there less workers of, exiles or guards and overseers?",
"role": "user"
}
] | [
"guards and overseers"
] | In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal settleme... | 28,733 | [
"In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal set... | [
"In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal set... | [
0.9999999404,
0.9943102002,
0.9939084649,
0.9937517643,
0.9934893847,
0.9933264256
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4830,
2647,
3546,
2681,
3419,
2173
] | train |
[
{
"content": "Which theater chain has the most screens?",
"role": "user"
}
] | [
"Regal Entertainment Group"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,734 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
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4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which theater chain has the second most screens?",
"role": "user"
}
] | [
"AMC Entertainment Inc"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,735 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
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4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which theater chain has the third most screens?",
"role": "user"
}
] | [
"Cinemark Theatres"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,736 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
] | [
4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which theater chain has the fourth most screens?",
"role": "user"
}
] | [
"Marcus Theatres"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,737 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
] | [
4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which group has more theaters, Marcus or Landmark?",
"role": "user"
}
] | [
"Landmark"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,738 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
] | [
4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which group has more screens, AMC Entertainment Inc or Cinemark Theatres?",
"role": "user"
}
] | [
"AMC Entertainment Inc"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,739 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
] | [
4831,
2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which groups have more than 5000 screens?",
"role": "user"
}
] | [
"Regal Entertainment Group"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,740 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
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4831,
2805,
1876,
4980,
384,
1892
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[
{
"content": "Are there more screens in the United States or Canada?",
"role": "user"
}
] | [
"United States"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,741 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
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4980,
384,
1892
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[
{
"content": "Who had the largest amount of screens: AMC Entertainment or Cinemark?",
"role": "user"
}
] | [
"AMC"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,742 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
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[
{
"content": "What all theaters have more screens than National Amusements?",
"role": "user"
}
] | [
"AMC"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,743 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
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4980,
384,
1892
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[
{
"content": "What were all the major movie chains that have the less theaters than Regal Entertainment?",
"role": "user"
}
] | [
"AMC"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,744 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
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2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "Which country has more movie screens: Canada or United States?",
"role": "user"
}
] | [
"United States"
] | In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company with 16... | 28,745 | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
"In North America, the National Association of Theatre Owners (NATO) is the largest exhibition trade organization in the world. According to their figures, the top four chains represent almost half of the theater screens in North America. In Canada, Cineplex Entertainment is the largest and movie theater company wi... | [
1,
0.9906156063,
0.9902339578,
0.9900288582,
0.9900224805,
0.9899548888
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2805,
1876,
4980,
384,
1892
] | train |
[
{
"content": "How many years did Holdens profit recorded a loss 2005 to 2006?",
"role": "user"
}
] | [
"1"
] | This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the work... | 28,746 | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
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0.992051959,
0.9896455407,
0.989518404,
0.9895076752,
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4725,
4808,
4691,
4718,
3328
] | train |
[
{
"content": "Which part of Holden's title was added on May 18 2005?",
"role": "user"
}
] | [
"GM"
] | This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the work... | 28,747 | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
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4725,
4808,
4691,
4718,
3328
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[
{
"content": "Which years were greater in loss than 2007?",
"role": "user"
}
] | [
"2008"
] | This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the work... | 28,748 | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
"This overall downturn affected Holdens profits; the company recorded a combined gain of A$842.9 million from 2002 to 2004, and a combined loss of A$290 million from 2005 to 2006. Factors contributing to the loss included the development of an all-new model, the strong Australian dollar and the cost of reducing the... | [
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4808,
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4718,
3328
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[
{
"content": "Which did Baggio record less of in the 2003-04 Serie A, assists or goals?",
"role": "user"
}
] | [
"assists"
] | In the 2003-04 Serie A, the final season of his career, Baggio recorded 12 goals and 11 assists. He scored his 200th goal in Serie A in a 2-2 draw against Parma on 14 March 2004, saving Brescia from relegation, as they finished the season in 11th place. Baggio was the first player in almost 30 years to surpass the 200-... | 28,749 | [
"In the 2003-04 Serie A, the final season of his career, Baggio recorded 12 goals and 11 assists. He scored his 200th goal in Serie A in a 2-2 draw against Parma on 14 March 2004, saving Brescia from relegation, as they finished the season in 11th place. Baggio was the first player in almost 30 years to surpass the... | [
"In the 2003-04 Serie A, the final season of his career, Baggio recorded 12 goals and 11 assists. He scored his 200th goal in Serie A in a 2-2 draw against Parma on 14 March 2004, saving Brescia from relegation, as they finished the season in 11th place. Baggio was the first player in almost 30 years to surpass the... | [
0.9999998808,
0.9917036295,
0.9913370013,
0.9906926155,
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4404,
4538,
2667,
4454,
2052
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[
{
"content": "What has the least percentage: birthrate 4% or 90% households receive adequate iodized salt?",
"role": "user"
}
] | [
"birthrate"
] | The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the rate of... | 28,750 | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
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0.9866685271,
0.9865886569,
0.9862035513,
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4620,
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4514
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[
{
"content": "What percentage is the highest in China: Cambodian breastfed babies or households consume iodized salt",
"role": "user"
}
] | [
"households consume iodized salt"
] | The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the rate of... | 28,751 | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
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991,
4272,
4514
] | train |
[
{
"content": "Which country has the lowest mortality rate in the world?",
"role": "user"
}
] | [
"Iceland"
] | The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the rate of... | 28,752 | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
"The East Asia/Pacific region has reached its goals on nutrition, in part due to the improvements contributed by China, the region’s most populous country. China has reduced its underweight prevalence from 19 percent to 8 percent between 1990 and 2002. China played the largest role in the world in decreasing the ra... | [
0.9999999404,
0.9866685271,
0.9865886569,
0.9862035513,
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4834,
4620,
4295,
991,
4272,
4514
] | train |
[
{
"content": "Which two states had a net migration rate under 2.0?",
"role": "user"
}
] | [
"Baja California"
] | In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the "Mexican Miracle", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense demograph... | 28,753 | [
"In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the \"Mexican Miracle\", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense de... | [
"In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the \"Mexican Miracle\", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense de... | [
1.0000001192,
0.994699657,
0.9938866496,
0.9933693409,
0.9928947091,
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4961,
3561,
33,
991,
3234
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[
{
"content": "Which were there less of, undocumented Mexicans living in the United States in 2004 or American citizens who declared having Mexican ancestry in the 2000 Census?",
"role": "user"
}
] | [
"undocumented Mexicans"
] | In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the "Mexican Miracle", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense demograph... | 28,754 | [
"In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the \"Mexican Miracle\", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense de... | [
"In 1900, the Mexican population was 13.6 million. During the period of economic prosperity that was dubbed by economists as the \"Mexican Miracle\", the government invested in efficient social programs that reduced the infant mortality rate and increased life expectancy. These measures jointly led to an intense de... | [
1.0000001192,
0.994699657,
0.9938866496,
0.9933693409,
0.9928947091,
0.9926171303
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4835,
4961,
3561,
33,
991,
3234
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[
{
"content": "Who threw the first touchdown pass of the game?",
"role": "user"
}
] | [
"McNabb"
] | The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized with... | 28,755 | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
1.0000001192,
0.9946831465,
0.9946340919,
0.9945027828,
0.9943894148,
0.99435848
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4084,
1645,
493,
4078,
1569
] | train |
[
{
"content": "Who caught Washington's first touchdown pass?",
"role": "user"
}
] | [
"James Thrash"
] | The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized with... | 28,756 | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
1.0000001192,
0.9946831465,
0.9946340919,
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0.9943894148,
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4084,
1645,
493,
4078,
1569
] | train |
[
{
"content": "Which Eagles players caught touchdown passes?",
"role": "user"
}
] | [
"Brian Westbrook"
] | The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized with... | 28,757 | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
1.0000001192,
0.9946831465,
0.9946340919,
0.9945027828,
0.9943894148,
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4084,
1645,
493,
4078,
1569
] | train |
[
{
"content": "Which Redskins players caught touchdown passes?",
"role": "user"
}
] | [
"James Thrash"
] | The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized with... | 28,758 | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
1.0000001192,
0.9946831465,
0.9946340919,
0.9945027828,
0.9943894148,
0.99435848
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4836,
4084,
1645,
493,
4078,
1569
] | train |
[
{
"content": "Who caught the longest touchdown pass?",
"role": "user"
}
] | [
"Brian Westbrook"
] | The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized with... | 28,759 | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
" The team rallied for a win over the Washington Redskins at FedExField in week 10. Penalties on Washington's defense helped allow a short McNabb to Brian Westbrook touchdown pass on Philadelphia's opening drive. A fumble by L. J. Smith gave Washington the ball inside Eagle territory, and Jason Campbell capitalized... | [
1.0000001192,
0.9946831465,
0.9946340919,
0.9945027828,
0.9943894148,
0.99435848
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4084,
1645,
493,
4078,
1569
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[
{
"content": "In what areas did Boston University rank higher than 20th according to the U.S. News & World Report rankings?",
"role": "user"
}
] | [
"Best Colleges for Veterans"
] | Boston University is ranked No. 36 Nationally in the Wall Street Journal/Time Higher Education U.S. colleges and universities ranking. According to the U.S. News & World Report Boston University is ranked 18th in Best Colleges for Veterans, 52nd in Best Undergraduate Teaching, 46th in Best Value Schools, 32nd in High S... | 28,760 | [
"Boston University is ranked No. 36 Nationally in the Wall Street Journal/Time Higher Education U.S. colleges and universities ranking. According to the U.S. News & World Report Boston University is ranked 18th in Best Colleges for Veterans, 52nd in Best Undergraduate Teaching, 46th in Best Value Schools, 32nd in H... | [
"Boston University is ranked No. 36 Nationally in the Wall Street Journal/Time Higher Education U.S. colleges and universities ranking. According to the U.S. News & World Report Boston University is ranked 18th in Best Colleges for Veterans, 52nd in Best Undergraduate Teaching, 46th in Best Value Schools, 32nd in H... | [
1,
0.9934360981,
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4837,
4367,
3676,
4675,
4879,
2614
] | train |
[
{
"content": "Who were the 3 20-game winners?",
"role": "user"
}
] | [
"Mike Cuellar"
] | By contrast, pitching was a strength for the Baltimore Orioles as manager Earl Weaver had three, healthy 20-game winners. Mike Cuellar (24–8, 3.48 ERA), Dave McNally (24–9, 3.22) and future Hall of Famer Jim Palmer (20–10, 2.71) were all well-rested and ready for the Series. Weaver balanced good pitching with the hitti... | 28,761 | [
"By contrast, pitching was a strength for the Baltimore Orioles as manager Earl Weaver had three, healthy 20-game winners. Mike Cuellar (24–8, 3.48 ERA), Dave McNally (24–9, 3.22) and future Hall of Famer Jim Palmer (20–10, 2.71) were all well-rested and ready for the Series. Weaver balanced good pitching with the ... | [
"By contrast, pitching was a strength for the Baltimore Orioles as manager Earl Weaver had three, healthy 20-game winners. Mike Cuellar (24–8, 3.48 ERA), Dave McNally (24–9, 3.22) and future Hall of Famer Jim Palmer (20–10, 2.71) were all well-rested and ready for the Series. Weaver balanced good pitching with the ... | [
1,
0.9931143522,
0.99264884,
0.9923904538,
0.9920996428,
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4412,
4489,
662,
4633,
4601
] | train |
[
{
"content": "What were all the period of years that Women earnings rose?",
"role": "user"
}
] | [
"1980 to 1990"
] | In the United States, the female-to-male earnings ratio was 0.77 in 2009; female full-time, year-round (FTYR) workers earned 77% as much as male FTYR workers. Womens earnings relative to mens fell from 1960 to 1980 (56.7-54.2%), rose rapidly from 1980 to 1990 (54.2-67.6%), leveled off from 1990 to 2000 (67.6-71.2%) and... | 28,762 | [
"In the United States, the female-to-male earnings ratio was 0.77 in 2009; female full-time, year-round (FTYR) workers earned 77% as much as male FTYR workers. Womens earnings relative to mens fell from 1960 to 1980 (56.7-54.2%), rose rapidly from 1980 to 1990 (54.2-67.6%), leveled off from 1990 to 2000 (67.6-71.2%... | [
"In the United States, the female-to-male earnings ratio was 0.77 in 2009; female full-time, year-round (FTYR) workers earned 77% as much as male FTYR workers. Womens earnings relative to mens fell from 1960 to 1980 (56.7-54.2%), rose rapidly from 1980 to 1990 (54.2-67.6%), leveled off from 1990 to 2000 (67.6-71.2%... | [
1,
0.9914714098,
0.9913165569,
0.9911180139,
0.9909982085,
0.9908443093
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4839,
207,
4657,
4802,
4651,
2006
] | train |
[
{
"content": "Which tournaments did she compete in during the 2012 season?",
"role": "user"
}
] | [
"2012 Family Circle Cup"
] | She began the clay-court season at the 2012 Family Circle Cup - Singles, where she was seeded 13th. She upset eighth seed Anastasia Pavlyuchenkova in the third round. She lost in the quarterfinals to Polona Hercog, 1-6, 2-6. Her next tournament was the 2012 Estoril Open - Womens Singles, where she was the seventh seed ... | 28,763 | [
"She began the clay-court season at the 2012 Family Circle Cup - Singles, where she was seeded 13th. She upset eighth seed Anastasia Pavlyuchenkova in the third round. She lost in the quarterfinals to Polona Hercog, 1-6, 2-6. Her next tournament was the 2012 Estoril Open - Womens Singles, where she was the seventh ... | [
"She began the clay-court season at the 2012 Family Circle Cup - Singles, where she was seeded 13th. She upset eighth seed Anastasia Pavlyuchenkova in the third round. She lost in the quarterfinals to Polona Hercog, 1-6, 2-6. Her next tournament was the 2012 Estoril Open - Womens Singles, where she was the seventh ... | [
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0.9948019385,
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3648,
2063,
1631
] | train |
[
{
"content": "Which team scored the first field goal?",
"role": "user"
}
] | [
"Bengals"
] | The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip through ... | 28,764 | [
" The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip thr... | [
" The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip thr... | [
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3400,
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2310,
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[
{
"content": "Which team scored the least points all game?",
"role": "user"
}
] | [
"Chiefs"
] | The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip through ... | 28,765 | [
" The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip thr... | [
" The Chiefs opened the regular season at home against the Cincinnati Bengals on September 10. The game was broadcast on CBS at noon Kansas City time. The Chiefs' offense began at a slow pace, while their defense initially held the Bengals to a field goal within the first few minutes. The Bengals began to rip thr... | [
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[
{
"content": "Which teams did Gasol play against in 2018?",
"role": "user"
}
] | [
"Philadelphia 76ers"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,766 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
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0.9942144752,
0.9934139252,
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4946,
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] | train |
[
{
"content": "Did Gasol lose by more points to the Philadelphia 76ers or Milwaukee Bucks?",
"role": "user"
}
] | [
"Philadelphia 76ers"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,767 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
1,
0.9942144752,
0.9934139252,
0.9900465608,
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0.9891002178
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4946,
4767
] | train |
[
{
"content": "Did Gasol's team score more points against the Brooklyn Nets or the Milwaukee Bucks?",
"role": "user"
}
] | [
"Brooklyn Nets"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,768 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
1,
0.9942144752,
0.9934139252,
0.9900465608,
0.9897113442,
0.9891002178
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4637,
4555,
4343,
4946,
4767
] | train |
[
{
"content": "Which team won the game on December 20, 2017, the Spurs or the Trail Blazers?",
"role": "user"
}
] | [
"the Spurs"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,769 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
1,
0.9942144752,
0.9934139252,
0.9900465608,
0.9897113442,
0.9891002178
] | [
4842,
4637,
4555,
4343,
4946,
4767
] | train |
[
{
"content": "Which team lost the game played on March 25, 2018, the Spurs or the Bucks?",
"role": "user"
}
] | [
"the Spurs"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,770 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
1,
0.9942144752,
0.9934139252,
0.9900465608,
0.9897113442,
0.9891002178
] | [
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4637,
4555,
4343,
4946,
4767
] | train |
[
{
"content": "Which player had more rebounds after the game on December 26, 2017, Gasol or Jack Sikma?",
"role": "user"
}
] | [
"Gasol"
] | On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sacrame... | 28,771 | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
"On July 24, 2017, Gasol re-signed with the Spurs. On December 20, 2017, he had 20 points and a season-high 17 rebounds in a 93-91 win over the Portland Trail Blazers. On December 23, 2017, he recorded his 10th career triple-double with 14 points, 11 rebounds and a season-high 10 assists in a 108-99 win over the Sa... | [
1,
0.9942144752,
0.9934139252,
0.9900465608,
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0.9891002178
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4637,
4555,
4343,
4946,
4767
] | train |
[
{
"content": "Who received more percentage of the GNP in 2000: Chileans or 10% richest?",
"role": "user"
}
] | [
"10% richest"
] | The percent of total income earned by the richest 20% of the Chilean population in 2000 was 61.0% of GDP, while the percent of total income earned by the poorest 20% of the Chilean population was 3.3% of GDP. Chiles Gini Coefficient in 2003 (53.8) has slightly changed in comparison with the value in 1995 (56.4). In 200... | 28,772 | [
"The percent of total income earned by the richest 20% of the Chilean population in 2000 was 61.0% of GDP, while the percent of total income earned by the poorest 20% of the Chilean population was 3.3% of GDP. Chiles Gini Coefficient in 2003 (53.8) has slightly changed in comparison with the value in 1995 (56.4). I... | [
"The percent of total income earned by the richest 20% of the Chilean population in 2000 was 61.0% of GDP, while the percent of total income earned by the poorest 20% of the Chilean population was 3.3% of GDP. Chiles Gini Coefficient in 2003 (53.8) has slightly changed in comparison with the value in 1995 (56.4). I... | [
0.9999998212,
0.990416646,
0.9902192354,
0.9899825454,
0.9897221327,
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4843,
4288,
4269,
3938,
2006,
4685
] | train |
[
{
"content": "What was the least valuable export, tin or gutta?",
"role": "user"
}
] | [
"gutta"
] | The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances which ... | 28,773 | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
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0.9924197197,
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[
{
"content": "Which had a higher value in 1905, imports or exports?",
"role": "user"
}
] | [
"exports"
] | The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances which ... | 28,774 | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
1.0000002384,
0.9924197197,
0.9914144278,
0.991239965,
0.9911610484,
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4844,
4478,
4615,
1851,
2574,
4466
] | train |
[
{
"content": "Which had a higher export value in 1905, tin or dried and salted fish?",
"role": "user"
}
] | [
"tin"
] | The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances which ... | 28,775 | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
1.0000002384,
0.9924197197,
0.9914144278,
0.991239965,
0.9911610484,
0.9906044006
] | [
4844,
4478,
4615,
1851,
2574,
4466
] | train |
[
{
"content": "Which had a higher export value in 1905, gutta or timber?",
"role": "user"
}
] | [
"timber"
] | The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances which ... | 28,776 | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
"The revenue of Pahang in 1899 amounted to only $62,077; in 1900 to $419,150. In 1905 it was $528,368. The expenditure in 1905 amounted to $1,208,176. Of this sum $736,886 was expended on public works. Pahang is still a source of expense to the federation, its progress having been retarded by the disturbances w... | [
1.0000002384,
0.9924197197,
0.9914144278,
0.991239965,
0.9911610484,
0.9906044006
] | [
4844,
4478,
4615,
1851,
2574,
4466
] | train |
[
{
"content": "Which country do more Egyptian migrants live in, Libya or Jordan?",
"role": "user"
}
] | [
"Libya"
] | According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants live ... | 28,777 | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
1.0000001192,
0.9942177534,
0.9927406907,
0.9925534725,
0.9925404191,
0.9924337864
] | [
4845,
3220,
711,
4792,
3586,
3526
] | train |
[
{
"content": "What Arab countries do 70% of Egyptian migrants live in?",
"role": "user"
}
] | [
"Saudi Arabia"
] | According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants live ... | 28,778 | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
1.0000001192,
0.9942177534,
0.9927406907,
0.9925534725,
0.9925404191,
0.9924337864
] | [
4845,
3220,
711,
4792,
3586,
3526
] | train |
[
{
"content": "Which country in North America do more Egyptian migrants live, the United States or Cananda?",
"role": "user"
}
] | [
"United States"
] | According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants live ... | 28,779 | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
"According to the International Organization for Migration, an estimated 2.7 million Egyptians live abroad and contribute actively to the development of their country through remittances (US$7.8 billion in 2009), circulation of human and social capital, as well as investment. Approximately 70% of Egyptian migrants ... | [
1.0000001192,
0.9942177534,
0.9927406907,
0.9925534725,
0.9925404191,
0.9924337864
] | [
4845,
3220,
711,
4792,
3586,
3526
] | train |
[
{
"content": "What was the largest percentage of the vote that one candidate took in Middlesex County?",
"role": "user"
}
] | [
"63.2%"
] | Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a Demo... | 28,780 | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
0.9999998808,
0.9917700291,
0.9894137383,
0.9890698195,
0.9886776209,
0.9884821177
] | [
4846,
4916,
2065,
1887,
4461,
4749
] | train |
[
{
"content": "What was the smallest percentage that a candidate won Middlesex County with?",
"role": "user"
}
] | [
"56.3%"
] | Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a Demo... | 28,781 | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
0.9999998808,
0.9917700291,
0.9894137383,
0.9890698195,
0.9886776209,
0.9884821177
] | [
4846,
4916,
2065,
1887,
4461,
4749
] | train |
[
{
"content": "Who won less votes in Middlesex County in 2000?",
"role": "user"
}
] | [
"George W. Bush"
] | Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a Demo... | 28,782 | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
0.9999998808,
0.9917700291,
0.9894137383,
0.9890698195,
0.9886776209,
0.9884821177
] | [
4846,
4916,
2065,
1887,
4461,
4749
] | train |
[
{
"content": "Which candidate won Middlesex County in 2008?",
"role": "user"
}
] | [
"Barack Obama"
] | Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a Demo... | 28,783 | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
"Democrat Bill Clinton carried the county in 1992 and it has remained reliably Red states and blue states in every election since. In the nationally close United States presidential election in New Jersey, 2000, Democrat Al Gore won the county decisively with 59.9% of the vote to Republican George W. Bushs 36.1%, a... | [
0.9999998808,
0.9917700291,
0.9894137383,
0.9890698195,
0.9886776209,
0.9884821177
] | [
4846,
4916,
2065,
1887,
4461,
4749
] | train |
[
{
"content": "Who decided to keep the crown jewels in the Garde Meuble de la Couronne?",
"role": "user"
}
] | [
"Louis XV of France"
] | The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were reconstitu... | 28,784 | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
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{
"content": "Were there more turquoises in the crown jewel collection or opals?",
"role": "user"
}
] | [
"turquoises"
] | The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were reconstitu... | 28,785 | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
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{
"content": "Which kings mentioned were responsible for restoring the crown jewels?",
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}
] | [
"Henry IV"
] | The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were reconstitu... | 28,786 | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
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[
{
"content": "What jewels did Louis XIV enhance the collection with?",
"role": "user"
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] | [
"18 Cardinal Mazarin diamonds"
] | The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were reconstitu... | 28,787 | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
"The Crown Jewels or Diamants de la Couronne de France, consisting of gemstones and jewellery, became unalienable by decision of Francis I of France on June 15, 1530. The Côte-de-Bretagne red spinel was then among the 8 main jewels. They suffered important loss by the Catholic League (French) in 1590 but were recon... | [
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[
{
"content": "Who has a higher military budget, Russia or the US?",
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}
] | [
"United States"
] | The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 trillion... | 28,788 | [
"The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 tri... | [
"The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 tri... | [
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[
{
"content": "Did Africa or the Middle East receive more weapons from Russia?",
"role": "user"
}
] | [
"Africa"
] | The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 trillion... | 28,789 | [
"The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 tri... | [
"The Russian governments published 2014 military budget is about 2.49 trillion rubles (approximately US$69.3 billion), the List of countries by military expenditures in the world behind the US and China. The official budget is set to rise to 3.03 trillion rubles (approximately US$83.7 billion) in 2015, and 3.36 tri... | [
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[
{
"content": "Who scored the winning goal on September 8, 1965?",
"role": "user"
}
] | [
"Hans Kraay"
] | In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, held in... | 28,790 | [
"In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, he... | [
"In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, he... | [
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{
"content": "Where ships did the fans of Feijenoord travel on?",
"role": "user"
}
] | [
"deGroote Beer"
] | In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, held in... | 28,791 | [
"In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, he... | [
"In 1963, hundreds of thousands of people stood ashore by the Nieuwe Maas and the Nieuwe Waterweg to wave two ships, deGroote Beer and the Waterman goodbye. The ships transported thousands of Feijenoord fans to Lisbon where the club faced S.L. Benfica on 8 May 1963 in the European Cup semi-finals. The first leg, he... | [
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[
{
"content": "Who were the 2 rival coaches?",
"role": "user"
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] | [
"George Welsh"
] | In addition to these, the Virginia football team competes in the Souths Oldest Rivalry against North Carolina Tar Heels, an old and historic rivalry game which a sitting President of the United States, Calvin Coolidge, made time to attend in Charlottesville in 1924. UVA currently trails in the long series against both ... | 28,792 | [
"In addition to these, the Virginia football team competes in the Souths Oldest Rivalry against North Carolina Tar Heels, an old and historic rivalry game which a sitting President of the United States, Calvin Coolidge, made time to attend in Charlottesville in 1924. UVA currently trails in the long series against ... | [
"In addition to these, the Virginia football team competes in the Souths Oldest Rivalry against North Carolina Tar Heels, an old and historic rivalry game which a sitting President of the United States, Calvin Coolidge, made time to attend in Charlottesville in 1924. UVA currently trails in the long series against ... | [
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[
{
"content": "Which year span was the annual growth rate of GNP per capita the highest percentage, 1850-1870 or 1870-1890?",
"role": "user"
}
] | [
"1870-1890"
] | In the early 1860s, Europe and the United States pursued completely different trade policies. The 1860s were a period of growing protectionism in the United States, while the European free trade phase lasted from 1860 to 1892. The tariff average rate on imports of manufactured goods was in 1875 from 40% to 50% in the U... | 28,793 | [
"In the early 1860s, Europe and the United States pursued completely different trade policies. The 1860s were a period of growing protectionism in the United States, while the European free trade phase lasted from 1860 to 1892. The tariff average rate on imports of manufactured goods was in 1875 from 40% to 50% in ... | [
"In the early 1860s, Europe and the United States pursued completely different trade policies. The 1860s were a period of growing protectionism in the United States, while the European free trade phase lasted from 1860 to 1892. The tariff average rate on imports of manufactured goods was in 1875 from 40% to 50% in ... | [
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[
{
"content": "Which teams did Toni Kukoc get traded to?",
"role": "user"
}
] | [
"Hawks"
] | Point guard Jason Terry became the teams scoring leader during the 2000–01 season, leading them with 19.7 ppg. After the All-Star break, the Hawks traded Mutombo to the Philadelphia 76ers for Theo Ratliff, Toni Kukoč, and Nazr Mohammed. However, Ratliff was injured and did not play with the Hawks until next season. The... | 28,794 | [
"Point guard Jason Terry became the teams scoring leader during the 2000–01 season, leading them with 19.7 ppg. After the All-Star break, the Hawks traded Mutombo to the Philadelphia 76ers for Theo Ratliff, Toni Kukoč, and Nazr Mohammed. However, Ratliff was injured and did not play with the Hawks until next season... | [
"Point guard Jason Terry became the teams scoring leader during the 2000–01 season, leading them with 19.7 ppg. After the All-Star break, the Hawks traded Mutombo to the Philadelphia 76ers for Theo Ratliff, Toni Kukoč, and Nazr Mohammed. However, Ratliff was injured and did not play with the Hawks until next season... | [
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[
{
"content": "Was the last league match of the 1993 season a home or away game for Feyenoord?",
"role": "user"
}
] | [
"away"
] | In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (beating ... | 28,795 | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
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[
{
"content": "Which teams did Feyenoord beat 2-1 to win Dutch Cups?",
"role": "user"
}
] | [
"N.E.C."
] | In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (beating ... | 28,796 | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
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[
{
"content": "Which teams did Feyenoord each beat 2-1?",
"role": "user"
}
] | [
"N.E.C."
] | In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (beating ... | 28,797 | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
"In 1993, Feyenoord secured another Dutch Championship by beating FC Groningen 5-0 in the last league match of the season. The match was played at the Oosterpark Stadion in Groningen, so 40.000 Feyenoord fans watched the game on giant screens in De Kuip. The title was followed by another two Dutch Cups in 1994 (bea... | [
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[
{
"content": "Which areas has more than one modification in 1982?",
"role": "user"
}
] | [
"pressure gases"
] | An amendment to a law of September 1980 on air traffic, adopted in January 1981, prohibited the transport of radioactive substances by air without a special permit. Existing safety regulations were considerably extended and modified by the technical committees responsible for individual specialist areas. Regarding inst... | 28,798 | [
"An amendment to a law of September 1980 on air traffic, adopted in January 1981, prohibited the transport of radioactive substances by air without a special permit. Existing safety regulations were considerably extended and modified by the technical committees responsible for individual specialist areas. Regarding... | [
"An amendment to a law of September 1980 on air traffic, adopted in January 1981, prohibited the transport of radioactive substances by air without a special permit. Existing safety regulations were considerably extended and modified by the technical committees responsible for individual specialist areas. Regarding... | [
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0.9860018492,
0.9857864976,
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0.9850712419
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1008,
1872,
2651,
3616
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[
{
"content": "Did consumers spend more on costumes in 2005 or 2004?",
"role": "user"
}
] | [
"2005"
] | Researchers conducted a survey for the National Retail Federation in the United States and found that 53.3 percent of consumers planned to buy a costume for Halloween 2005, spending $38.11 on average (up $10 from the year before). They were also expected to spend $4.96 billion in 2006, up significantly from just $3.3 b... | 28,799 | [
"Researchers conducted a survey for the National Retail Federation in the United States and found that 53.3 percent of consumers planned to buy a costume for Halloween 2005, spending $38.11 on average (up $10 from the year before). They were also expected to spend $4.96 billion in 2006, up significantly from just $... | [
"Researchers conducted a survey for the National Retail Federation in the United States and found that 53.3 percent of consumers planned to buy a costume for Halloween 2005, spending $38.11 on average (up $10 from the year before). They were also expected to spend $4.96 billion in 2006, up significantly from just $... | [
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4854,
2006,
4269,
4662,
4904,
4808
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