section_id
string | query_id
string | passage
string | question
string | answers_spans
sequence |
|---|---|---|---|---|
history_2965 | 564016d5-1ea6-499a-9edf-b8b6b8905509 | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | How many more people, in terms of percentage, belonged to the largest racial group compared to the second largest? | {
"spans": [
"70.8"
],
"types": [
"number"
]
} |
history_2965 | f3634cdd-4833-4028-b8eb-9c13989ee709 | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | Did more Peterboroughs residents consider themselves British Asian or Black British? | {
"spans": [
"British Asian"
],
"types": [
"span"
]
} |
history_2965 | fffd1318-515e-402a-b04e-b43839e272dd | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | Did fewer Peterboroughs residents categorise themselves as Black British or White? | {
"spans": [
"Black British"
],
"types": [
"span"
]
} |
history_2965 | 5a89ab9f-a57b-4b1c-8bc7-9546de0503d9 | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | How many more percent of Peterborough residents categorise themselves as White compared to British Asian? | {
"spans": [
"70.8"
],
"types": [
"number"
]
} |
history_2965 | 281e6a79-f0fd-4818-97b2-e6998ef82723 | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | How many fewer percent of Peterborough residents categorise themselves as Black British compared to British Asian? | {
"spans": [
"9.4"
],
"types": [
"number"
]
} |
history_2965 | 44a2c7d5-bf0e-4b93-8408-1f7a3bb7f13d | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | Which races accounted for more than 10% of the population? | {
"spans": [
"White",
"British Asian"
],
"types": [
"span",
"span"
]
} |
history_2965 | 81e45023-47d9-481b-996b-2d4502b8d012 | According to the United Kingdom Census 2011, 82.5% of Peterboroughs residents categorised themselves as White people, 2.8% of Mixed (United Kingdom ethnicity category), 11.7% British Asian, 2.3 per cent Black British and 0.8% other. Amongst the white population, the largest categories were English/Welsh/Scottish/Northern Irish/British (70.9%) and Other White (10.6%). Those of British Pakistanis ethnicity accounted for 6.6% of the population and those of British Indians 2.5.%. The largest black group were those of African ethnicity (1.4%). | Were there more people considered British Pakistanis or British Indians? | {
"spans": [
"British Pakistanis"
],
"types": [
"span"
]
} |
history_2531 | bc089dd7-da07-48c8-8e8e-e21caa4dcd4a | The monetary unit is the dinar, at about 1.33 per dollar U.S.A. (recently a fairly constant rate), with inflation estimated pp. 4.5% for 2006. Tunisias per capita annual income was approximately 8,900 dollars (U.S.A.) in 2006. Between 1988 and 1998 the economy more than doubled. The economy grew at 5% per year during the 1990s (the best in Northwest Africa), but hit a 15-year low of 1.9% in 2002 (due to drought and a decline in tourism), but it regained a 5% rate for 2003–2005; it was said to be 4%–5% for 2006. Tunisias economy is diverse. Its products are primarily from light industry (food processing, textiles, footwear, agribusiness, mining commodities, construction materials) and from agriculture (olives, olive oil, grains (wheat and barley), tomatoes, citrus, sugar beets, dates, almonds, figs, vegetables, grapes, beef dairy), as well as livestock (sheep, goats) and fishing. Other production comes from petroleum and mining (phosphates, iron, oil, lead, zinc, salt). Tunisia is self-sufficient in oil, but not in natural gas. A very significant portion of the economy derives from the tourist industry. Gross Domestic Product (G.D.P.) was composed of approximately 12.5% agriculture, 33.1% industry, and 54.4% services. Exports went to France 29%, Italy 20%, Germany 9%, Spain 6%, Libya 5%, U.S.A. 4%. Imports came from France 25%, Italy 22%, Germany 10%, Spain 5%. An association agreement with the European Union will move Tunisia toward full free trade with the EU by 2008. | Which country had the largest export percentage; Libya or USA? | {
"spans": [
"Libya"
],
"types": [
"span"
]
} |
history_2531 | bc229447-b6a0-4969-af47-6ba4b24623ba | The monetary unit is the dinar, at about 1.33 per dollar U.S.A. (recently a fairly constant rate), with inflation estimated pp. 4.5% for 2006. Tunisias per capita annual income was approximately 8,900 dollars (U.S.A.) in 2006. Between 1988 and 1998 the economy more than doubled. The economy grew at 5% per year during the 1990s (the best in Northwest Africa), but hit a 15-year low of 1.9% in 2002 (due to drought and a decline in tourism), but it regained a 5% rate for 2003–2005; it was said to be 4%–5% for 2006. Tunisias economy is diverse. Its products are primarily from light industry (food processing, textiles, footwear, agribusiness, mining commodities, construction materials) and from agriculture (olives, olive oil, grains (wheat and barley), tomatoes, citrus, sugar beets, dates, almonds, figs, vegetables, grapes, beef dairy), as well as livestock (sheep, goats) and fishing. Other production comes from petroleum and mining (phosphates, iron, oil, lead, zinc, salt). Tunisia is self-sufficient in oil, but not in natural gas. A very significant portion of the economy derives from the tourist industry. Gross Domestic Product (G.D.P.) was composed of approximately 12.5% agriculture, 33.1% industry, and 54.4% services. Exports went to France 29%, Italy 20%, Germany 9%, Spain 6%, Libya 5%, U.S.A. 4%. Imports came from France 25%, Italy 22%, Germany 10%, Spain 5%. An association agreement with the European Union will move Tunisia toward full free trade with the EU by 2008. | What are all the countries that exported more than USA? | {
"spans": [
"France",
"Italy",
"Germany",
"Spain",
"Libya"
],
"types": [
"span",
"span",
"span",
"span",
"span"
]
} |
history_2531 | 7c57dd77-b0af-4adc-9d04-da948c4cc339 | The monetary unit is the dinar, at about 1.33 per dollar U.S.A. (recently a fairly constant rate), with inflation estimated pp. 4.5% for 2006. Tunisias per capita annual income was approximately 8,900 dollars (U.S.A.) in 2006. Between 1988 and 1998 the economy more than doubled. The economy grew at 5% per year during the 1990s (the best in Northwest Africa), but hit a 15-year low of 1.9% in 2002 (due to drought and a decline in tourism), but it regained a 5% rate for 2003–2005; it was said to be 4%–5% for 2006. Tunisias economy is diverse. Its products are primarily from light industry (food processing, textiles, footwear, agribusiness, mining commodities, construction materials) and from agriculture (olives, olive oil, grains (wheat and barley), tomatoes, citrus, sugar beets, dates, almonds, figs, vegetables, grapes, beef dairy), as well as livestock (sheep, goats) and fishing. Other production comes from petroleum and mining (phosphates, iron, oil, lead, zinc, salt). Tunisia is self-sufficient in oil, but not in natural gas. A very significant portion of the economy derives from the tourist industry. Gross Domestic Product (G.D.P.) was composed of approximately 12.5% agriculture, 33.1% industry, and 54.4% services. Exports went to France 29%, Italy 20%, Germany 9%, Spain 6%, Libya 5%, U.S.A. 4%. Imports came from France 25%, Italy 22%, Germany 10%, Spain 5%. An association agreement with the European Union will move Tunisia toward full free trade with the EU by 2008. | How many years did the economy regain a 5% rate for 2003-2005? | {
"spans": [
"2"
],
"types": [
"number"
]
} |
history_2337 | 2b926768-2abb-4696-ae55-93caee1e0416 | In October 2002, bilateral and multilateral lenders led by the World Bank agreed to give Yemen a four-year economic support package worth US$2.3 billion, 20 percent in grants and 80 percent in concessional loans. This funding is almost eight times the amount of financial support Yemen received under the IMFs PRGF. However, in December 2005 the World Bank announced that because of the governments continued inability to effect significant economic reforms and stem corruption, funding would be reduced by more than one-third, from US$420 million to US$240 million for the period July 2005 – July 2008. In May 2006, the World Bank adopted a new Country Assistance Strategy (CAS) for Yemen for the period FY 2006 to FY 2009, providing a blueprint for fostering the countrys fiscal and human development improvement. The bank pledged to contribute approximately US$400 million in International Development Association (IDA) credits over the CAS time frame. At present, Yemen owes approximately US$264 million to Japan, one of its largest donors. In December 2005, the Government of Japan pledged to write off US$17 million of the debt. That same month, Germany pledged to increase its annual aid to Yemen to US$83.6 million over the next two years; funding will go primarily to education and water improvement projects. In November 2006, the United Kingdom announced that aid to Yemen would increase 400 percent, to US$222 million through 2011. | How many years was the period where the World Bank would reduce funding by more than one-third? | {
"spans": [
"3"
],
"types": [
"number"
]
} |
history_2337 | 0bd7ea65-bc27-451e-895a-4e18352ede40 | In October 2002, bilateral and multilateral lenders led by the World Bank agreed to give Yemen a four-year economic support package worth US$2.3 billion, 20 percent in grants and 80 percent in concessional loans. This funding is almost eight times the amount of financial support Yemen received under the IMFs PRGF. However, in December 2005 the World Bank announced that because of the governments continued inability to effect significant economic reforms and stem corruption, funding would be reduced by more than one-third, from US$420 million to US$240 million for the period July 2005 – July 2008. In May 2006, the World Bank adopted a new Country Assistance Strategy (CAS) for Yemen for the period FY 2006 to FY 2009, providing a blueprint for fostering the countrys fiscal and human development improvement. The bank pledged to contribute approximately US$400 million in International Development Association (IDA) credits over the CAS time frame. At present, Yemen owes approximately US$264 million to Japan, one of its largest donors. In December 2005, the Government of Japan pledged to write off US$17 million of the debt. That same month, Germany pledged to increase its annual aid to Yemen to US$83.6 million over the next two years; funding will go primarily to education and water improvement projects. In November 2006, the United Kingdom announced that aid to Yemen would increase 400 percent, to US$222 million through 2011. | How many months after the World Bank announced it would reduce funding to Yemen by more than one-third did the World Bank adopt a new Country Assistance Strategy? | {
"spans": [
"5"
],
"types": [
"number"
]
} |
history_2337 | 8884498e-7e4f-46b7-8d55-5ac0229645d9 | In October 2002, bilateral and multilateral lenders led by the World Bank agreed to give Yemen a four-year economic support package worth US$2.3 billion, 20 percent in grants and 80 percent in concessional loans. This funding is almost eight times the amount of financial support Yemen received under the IMFs PRGF. However, in December 2005 the World Bank announced that because of the governments continued inability to effect significant economic reforms and stem corruption, funding would be reduced by more than one-third, from US$420 million to US$240 million for the period July 2005 – July 2008. In May 2006, the World Bank adopted a new Country Assistance Strategy (CAS) for Yemen for the period FY 2006 to FY 2009, providing a blueprint for fostering the countrys fiscal and human development improvement. The bank pledged to contribute approximately US$400 million in International Development Association (IDA) credits over the CAS time frame. At present, Yemen owes approximately US$264 million to Japan, one of its largest donors. In December 2005, the Government of Japan pledged to write off US$17 million of the debt. That same month, Germany pledged to increase its annual aid to Yemen to US$83.6 million over the next two years; funding will go primarily to education and water improvement projects. In November 2006, the United Kingdom announced that aid to Yemen would increase 400 percent, to US$222 million through 2011. | How many millions of dollars did Yemen still owe Japan after Japan pledged to write off US$17 million of the debt? | {
"spans": [
"247"
],
"types": [
"number"
]
} |
history_2337 | f2a98682-dc58-4cc8-8010-24d1f016fa91 | In October 2002, bilateral and multilateral lenders led by the World Bank agreed to give Yemen a four-year economic support package worth US$2.3 billion, 20 percent in grants and 80 percent in concessional loans. This funding is almost eight times the amount of financial support Yemen received under the IMFs PRGF. However, in December 2005 the World Bank announced that because of the governments continued inability to effect significant economic reforms and stem corruption, funding would be reduced by more than one-third, from US$420 million to US$240 million for the period July 2005 – July 2008. In May 2006, the World Bank adopted a new Country Assistance Strategy (CAS) for Yemen for the period FY 2006 to FY 2009, providing a blueprint for fostering the countrys fiscal and human development improvement. The bank pledged to contribute approximately US$400 million in International Development Association (IDA) credits over the CAS time frame. At present, Yemen owes approximately US$264 million to Japan, one of its largest donors. In December 2005, the Government of Japan pledged to write off US$17 million of the debt. That same month, Germany pledged to increase its annual aid to Yemen to US$83.6 million over the next two years; funding will go primarily to education and water improvement projects. In November 2006, the United Kingdom announced that aid to Yemen would increase 400 percent, to US$222 million through 2011. | How many millions of dollars did the World Bank reduce the funding to Yeman for the period July 2005 – July 2008? | {
"spans": [
"180"
],
"types": [
"number"
]
} |
history_2337 | a581c958-db1b-415b-b9d4-c97627d1d8b8 | In October 2002, bilateral and multilateral lenders led by the World Bank agreed to give Yemen a four-year economic support package worth US$2.3 billion, 20 percent in grants and 80 percent in concessional loans. This funding is almost eight times the amount of financial support Yemen received under the IMFs PRGF. However, in December 2005 the World Bank announced that because of the governments continued inability to effect significant economic reforms and stem corruption, funding would be reduced by more than one-third, from US$420 million to US$240 million for the period July 2005 – July 2008. In May 2006, the World Bank adopted a new Country Assistance Strategy (CAS) for Yemen for the period FY 2006 to FY 2009, providing a blueprint for fostering the countrys fiscal and human development improvement. The bank pledged to contribute approximately US$400 million in International Development Association (IDA) credits over the CAS time frame. At present, Yemen owes approximately US$264 million to Japan, one of its largest donors. In December 2005, the Government of Japan pledged to write off US$17 million of the debt. That same month, Germany pledged to increase its annual aid to Yemen to US$83.6 million over the next two years; funding will go primarily to education and water improvement projects. In November 2006, the United Kingdom announced that aid to Yemen would increase 400 percent, to US$222 million through 2011. | How many millions of dollars did Yeman owe Japan after they wrote off some of the debt in 2005? | {
"spans": [
"247"
],
"types": [
"number"
]
} |
nfl_3283 | 645380d6-d3c8-4a2c-bb5f-52270800b74d | Coming off their by week, the Bengals traveled to Pittsburgh for Game 1 against the division rival Steelers. The Steelers would score first when Ben Roethlisberger found Antonio Brown on a 7-yard pass to make it 7-0. Though later on in the quarter, the Bengals would tie it up when Andy Dalton found Brandon LaFell on a 6-yard pass to make it a 7-7 game. In the second quarter, the Steelers moved back into the lead when Roethlisberger found Juju Smith-Schuster on a 31-yard pass to make it 14-7. But the Bengals tied it up again when Dalton found Tyler Kroft on a 1-yard pass making it 14-14. The Steelers closed the half with 2 field goals kicked by Chris Boswell: From 22 and 24 yards out to retake the lead 17-14 and then make it 20-14 at halftime. In the highly defensive second half, the Steelers managed to score more field goals starting in the third quarter when Boswell went for 2 more: From 41 and 49 yards out to increase the Steelers' lead from 9 to 12 and making the score change from 23-14 to 26-14. In the last quarter, the Steelers would pretty much seal the game when Boswell hit his fifth field goal of the game from 29-yards out to make the final score 29-14. With their fifth straight loss to the Steelers, the Bengals dropped to 2-4. | How many points were the Bengals ahead when Dalton found Tyler Kroft on a 1-yard pass? | {
"spans": [
"0"
],
"types": [
"number"
]
} |
nfl_3283 | af301495-207e-4836-9658-1ff75e9e6980 | Coming off their by week, the Bengals traveled to Pittsburgh for Game 1 against the division rival Steelers. The Steelers would score first when Ben Roethlisberger found Antonio Brown on a 7-yard pass to make it 7-0. Though later on in the quarter, the Bengals would tie it up when Andy Dalton found Brandon LaFell on a 6-yard pass to make it a 7-7 game. In the second quarter, the Steelers moved back into the lead when Roethlisberger found Juju Smith-Schuster on a 31-yard pass to make it 14-7. But the Bengals tied it up again when Dalton found Tyler Kroft on a 1-yard pass making it 14-14. The Steelers closed the half with 2 field goals kicked by Chris Boswell: From 22 and 24 yards out to retake the lead 17-14 and then make it 20-14 at halftime. In the highly defensive second half, the Steelers managed to score more field goals starting in the third quarter when Boswell went for 2 more: From 41 and 49 yards out to increase the Steelers' lead from 9 to 12 and making the score change from 23-14 to 26-14. In the last quarter, the Steelers would pretty much seal the game when Boswell hit his fifth field goal of the game from 29-yards out to make the final score 29-14. With their fifth straight loss to the Steelers, the Bengals dropped to 2-4. | How many points did the Steelers win the game by? | {
"spans": [
"15"
],
"types": [
"number"
]
} |
nfl_3283 | 89312e10-5743-43a8-ae8f-8fd833f66679 | Coming off their by week, the Bengals traveled to Pittsburgh for Game 1 against the division rival Steelers. The Steelers would score first when Ben Roethlisberger found Antonio Brown on a 7-yard pass to make it 7-0. Though later on in the quarter, the Bengals would tie it up when Andy Dalton found Brandon LaFell on a 6-yard pass to make it a 7-7 game. In the second quarter, the Steelers moved back into the lead when Roethlisberger found Juju Smith-Schuster on a 31-yard pass to make it 14-7. But the Bengals tied it up again when Dalton found Tyler Kroft on a 1-yard pass making it 14-14. The Steelers closed the half with 2 field goals kicked by Chris Boswell: From 22 and 24 yards out to retake the lead 17-14 and then make it 20-14 at halftime. In the highly defensive second half, the Steelers managed to score more field goals starting in the third quarter when Boswell went for 2 more: From 41 and 49 yards out to increase the Steelers' lead from 9 to 12 and making the score change from 23-14 to 26-14. In the last quarter, the Steelers would pretty much seal the game when Boswell hit his fifth field goal of the game from 29-yards out to make the final score 29-14. With their fifth straight loss to the Steelers, the Bengals dropped to 2-4. | How many field goals did Boswell score? | {
"spans": [
"5"
],
"types": [
"number"
]
} |
history_2971 | d05932b0-893a-425b-bba8-d84f5ec6e75e | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many people lived in the city and greater Rome area together? | {
"spans": [
"6954440"
],
"types": [
"number"
]
} |
history_2971 | 62505b0e-6a80-4449-b1ee-7415dcd0875a | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many percentage points more in population are pensioners compared to minors under the age of 18? | {
"spans": [
"3.76"
],
"types": [
"number"
]
} |
history_2971 | 3a8166c9-9b73-4ee8-b4db-adae85a2977e | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many years older is the average age of a Roman resident compared to the Italian average? | {
"spans": [
"1"
],
"types": [
"number"
]
} |
history_2971 | f0ed1da2-3eb6-46a2-9a3d-2fa13613e8a4 | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many percentage points more was the growth of the population in Rome compared to the growth rate of Italy? | {
"spans": [
"2.98"
],
"types": [
"number"
]
} |
history_2971 | 6fcd4e49-dad9-4757-9169-4f7f970907cc | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many more births per 1,000 inhabitants is the current birth rate of Italy compared to the birth rate of Rome? | {
"spans": [
".35"
],
"types": [
"number"
]
} |
history_2971 | 22bde94b-2530-4435-9601-d8b78d8f0d53 | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many more births per 1000 inhabitants if Italy have over Rome? | {
"spans": [
".35"
],
"types": [
"number"
]
} |
history_2971 | b1b9695b-fa37-40a5-b27f-77b6fce1e0e7 | In mid-2010, there were 2,754,440 residents in the city proper, while some 4.2 million people lived in the greater Rome area (which can be approximately identified with its administrative metropolitan city, with a population density of about 800 inhab./km² stretching over more than 5,000 km²). Minors (children ages 18 and younger) totalled 17.00% of the population compared to pensioners who number 20.76%. This compares with the Italian average of 18.06% (minors) and 19.94% (pensioners). The average age of a Roman resident is 43 compared to the Italian average of 42. In the five years between 2002 and 2007, the population of Rome grew by 6.54%, while Italy as a whole grew by 3.56%. The current birth rate of Rome is 9.10 births per 1,000 inhabitants compared to the Italian average of 9.45 births. | How many years younger is the average Italian over the average person from Rome? | {
"spans": [
"1"
],
"types": [
"number"
]
} |
history_3242 | fa76cf5b-9c87-4b81-9f14-7e10af6ce9ab | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | How many more jobs were in agriculture than in forestry? | {
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history_3242 | b59d0d5d-41ca-4065-bf48-ae2b61ac4e93 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | How many more jobs were int he primary sector than the secondary sector? | {
"spans": [
"117"
],
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} |
history_3242 | 887f616e-6401-436f-b98c-9d03bf276d23 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which two jobs had the most in the secondary sector? | {
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"manufacturing",
"construction"
],
"types": [
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history_3242 | 91f64201-3164-43fc-aa2e-2838c341a8bd | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | How many percent more jobs were in manufacturing than in construction? | {
"spans": [
"28.8"
],
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history_3242 | d17cea69-181f-4602-af51-6ddc199c0883 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which had more jobs in the tertiary sector, the sale or repair of motor vehicles or hotel or restaurant? | {
"spans": [
"hotel or restaurant"
],
"types": [
"span"
]
} |
history_3242 | 528e3690-3a79-41e8-9bb4-a65a2afce609 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | How many more percent of jobs did the information industry have than the insurance or financial industry? | {
"spans": [
"10.2"
],
"types": [
"number"
]
} |
history_3242 | b6011d0b-e163-438f-ac98-8d1cc6f7a8dc | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which sector had more people in it, manufacturing or construction? | {
"spans": [
"manufacturing"
],
"types": [
"span"
]
} |
history_3242 | c5fb112a-9be9-427b-9bf0-b4798f1a45fe | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which jobs in the tertiary sector each shared the same amount of workers as another job in the tertiary sector? | {
"spans": [
"motor vehicles",
"hotel or restaurant",
"technical professionals or scientists",
"education"
],
"types": [
"span",
"span",
"span",
"span"
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} |
history_3242 | 3840410d-2804-4452-975d-81fc8085c912 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Were there more manufacturing jobs or agriculture? | {
"spans": [
"agriculture"
],
"types": [
"span"
]
} |
history_3242 | b16489ef-bf54-4f04-8f26-ae22c3b47f1c | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | How many more construction jobs were there than forestry? | {
"spans": [
"7"
],
"types": [
"number"
]
} |
history_3242 | e12f44ec-a59e-4e11-be37-d6c8291a69f5 | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which area made up the most of the jobs in the primary sector? | {
"spans": [
"agriculture"
],
"types": [
"span"
]
} |
history_3242 | d7be9df7-8b50-4172-8ceb-3858ab324b3c | 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 number of jobs in the tertiary sector was 49. In the tertiary sector; 10 or 20.4% were in the sale or repair of motor vehicles, 1 was in the movement and storage of goods, 10 or 20.4% were in a hotel or restaurant, 7 or 14.3% were in the information industry, 2 or 4.1% were the insurance or financial industry, 9 or 18.4% were technical professionals or scientists, 9 or 18.4% were in education. | Which job category made up majority of the jobs in the secondary sector? | {
"spans": [
"manufacturing"
],
"types": [
"span"
]
} |
history_3719 | ad768f6d-bd9d-4371-98ba-63da6bb4d3a9 | Sector North In the Ogulin area of the HV Karlovac Corps AOR, the 99th Brigade, reinforced by the 143rd Home Guard Regiments Saborsko Company, moved towards Plaški at 5 a.m., but the force was stopped and turned back in disarray by 6 p.m. The 143rd Home Guard Regiment advanced from Josipdol towards Plaški, encountering minefields and strong ARSK resistance. Its elements connected with the 14th Home Guard Regiment, advancing through Barilović towards Slunj. Near the city of Karlovac, the 137th Home Guard Regiment deployed four Reconnaissance around midnight of 3–4 August, followed by artillery preparation and crossing of the Korana River at 5 a.m. The advance was fiercely resisted by the ARSK 13th Infantry Brigade, but the bridgehead was stable by the end of the day. The 110th Home Guard Regiment, reinforced by a company of the 137th Home Guard Regiment, advanced east to the road leading south from Karlovac to Vojnić and Slunj, where it met heavy resistance and suffered more casualties to landmines, demoralizing the unit and preventing its further advance. In addition, the attached company of the 137th Home Guard Regiment and the 104th Brigade failed to secure the regiments flanks. The 104th Brigade tried to cross the Kupa River at 5 a.m., but failed and fell back to its starting position by 8 a.m., at which time it was shifted to the bridgehead established by the 110th Home Guard Regiment. A company of the 99th Brigade was attached to the 143rd Home Guard Regiment for operations the next day, and a 250-strong battlegroup was removed from the brigade and subordinated to the Karlovac Corps directly. | How many hours after the 99th Brigade moved towards Plaški did they turn back in disarray? | {
"spans": [
"13"
],
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} |
history_3719 | e88ff7b3-18ae-4f35-bafd-dde18eb44095 | Sector North In the Ogulin area of the HV Karlovac Corps AOR, the 99th Brigade, reinforced by the 143rd Home Guard Regiments Saborsko Company, moved towards Plaški at 5 a.m., but the force was stopped and turned back in disarray by 6 p.m. The 143rd Home Guard Regiment advanced from Josipdol towards Plaški, encountering minefields and strong ARSK resistance. Its elements connected with the 14th Home Guard Regiment, advancing through Barilović towards Slunj. Near the city of Karlovac, the 137th Home Guard Regiment deployed four Reconnaissance around midnight of 3–4 August, followed by artillery preparation and crossing of the Korana River at 5 a.m. The advance was fiercely resisted by the ARSK 13th Infantry Brigade, but the bridgehead was stable by the end of the day. The 110th Home Guard Regiment, reinforced by a company of the 137th Home Guard Regiment, advanced east to the road leading south from Karlovac to Vojnić and Slunj, where it met heavy resistance and suffered more casualties to landmines, demoralizing the unit and preventing its further advance. In addition, the attached company of the 137th Home Guard Regiment and the 104th Brigade failed to secure the regiments flanks. The 104th Brigade tried to cross the Kupa River at 5 a.m., but failed and fell back to its starting position by 8 a.m., at which time it was shifted to the bridgehead established by the 110th Home Guard Regiment. A company of the 99th Brigade was attached to the 143rd Home Guard Regiment for operations the next day, and a 250-strong battlegroup was removed from the brigade and subordinated to the Karlovac Corps directly. | How many hours after the 137th Home Guard Regiment deployed four Reconnaissance did they cross the Korana river? | {
"spans": [
"5"
],
"types": [
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} |
history_3719 | 08d99234-ca50-4ef9-80be-5cd47362bce3 | Sector North In the Ogulin area of the HV Karlovac Corps AOR, the 99th Brigade, reinforced by the 143rd Home Guard Regiments Saborsko Company, moved towards Plaški at 5 a.m., but the force was stopped and turned back in disarray by 6 p.m. The 143rd Home Guard Regiment advanced from Josipdol towards Plaški, encountering minefields and strong ARSK resistance. Its elements connected with the 14th Home Guard Regiment, advancing through Barilović towards Slunj. Near the city of Karlovac, the 137th Home Guard Regiment deployed four Reconnaissance around midnight of 3–4 August, followed by artillery preparation and crossing of the Korana River at 5 a.m. The advance was fiercely resisted by the ARSK 13th Infantry Brigade, but the bridgehead was stable by the end of the day. The 110th Home Guard Regiment, reinforced by a company of the 137th Home Guard Regiment, advanced east to the road leading south from Karlovac to Vojnić and Slunj, where it met heavy resistance and suffered more casualties to landmines, demoralizing the unit and preventing its further advance. In addition, the attached company of the 137th Home Guard Regiment and the 104th Brigade failed to secure the regiments flanks. The 104th Brigade tried to cross the Kupa River at 5 a.m., but failed and fell back to its starting position by 8 a.m., at which time it was shifted to the bridgehead established by the 110th Home Guard Regiment. A company of the 99th Brigade was attached to the 143rd Home Guard Regiment for operations the next day, and a 250-strong battlegroup was removed from the brigade and subordinated to the Karlovac Corps directly. | What day did the bridgehead become stable? | {
"spans": [
"4 August"
],
"types": [
"date"
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} |
history_2900 | 4afa4841-6c3c-4c6e-99f6-ad732b2091dc | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Which were there more households of, those with a single person or those with two people? | {
"spans": [
"single person"
],
"types": [
"span"
]
} |
history_2900 | 8db733a2-f4c2-43ab-8589-2d6bad65925f | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many percent of households did not have a car? | {
"spans": [
"24"
],
"types": [
"number"
]
} |
history_2900 | 65d03aa6-741d-4852-a884-9262e918f8ef | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Which were there more of, households with a car or households with mobile phones? | {
"spans": [
"mobile phones"
],
"types": [
"span"
]
} |
history_2900 | af7fa30f-3bf7-40ed-9af0-feb316b0ef55 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many more households did not have a car compared to the percent of households that did not have a mobile phone? | {
"spans": [
"16"
],
"types": [
"number"
]
} |
history_2900 | e467a227-ef2e-41ff-9bbd-61e69990e0c3 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Which household consumption cost more, transport or food and beverages excluding alcohol? | {
"spans": [
"transport"
],
"types": [
"span"
]
} |
history_2900 | 4e474d7c-e849-435a-a48b-8a68d7e21060 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many more euro did upper-level white-collar households consume compared to lower-level white-collar households? | {
"spans": [
"6521"
],
"types": [
"number"
]
} |
history_2900 | c384a03e-4ed3-437a-8409-d1f525111414 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many percent of households had more than one person? | {
"spans": [
"60"
],
"types": [
"number"
]
} |
history_2900 | de25eca1-5acc-4364-a17d-6c4f9b54437d | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Did more households have two people or three or more people? | {
"spans": [
"two"
],
"types": [
"span"
]
} |
history_2900 | b64963a0-8745-4337-a562-530def9788aa | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many percent of households did not own a car? | {
"spans": [
"26"
],
"types": [
"number"
]
} |
history_2900 | f11c92fa-c73b-4ef3-8f14-4b84864fb7d8 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Did households spend more money on housing or transport? | {
"spans": [
"housing"
],
"types": [
"span"
]
} |
history_2900 | 0a96f1d8-8e15-48a2-87aa-75fc185cb1df | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | How many more euros did households spend on food and beverages compared to recreation and culture? | {
"spans": [
"500"
],
"types": [
"number"
]
} |
history_2900 | d7b119fc-06c1-4914-809f-8f56c71d10e0 | 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 property (without land) cost 1,187 euro per square metre and residential land on 8.6 euro per square metre. Consumer energy prices were 8-12 euro cent per kilowatt hour. 74 percent of households had a car. There were 2.5 million cars and 0.4 other vehicles. Around 92 percent have mobile phones and 58 percent List of countries by number of Internet users. The average total household consumption was 20,000 euro, out of which housing at around 5500 euro, transport at around 3000 euro, food and beverages excluding alcoholic at around 2500 euro, recreation and culture at around 2000 euro. Upper-level white-collar households (409,653) consumed an average 27,456 euro, lower-level white-collar households (394,313) 20,935 euro, and blue-collar households (471,370) 19,415 euro. | Which household consuemen an average of less than 21000 euros? | {
"spans": [
"lower-level white-collar",
"blue-collar"
],
"types": [
"span",
"span"
]
} |
history_2849 | 430d958d-034a-4c69-95e3-a41fc33adc05 | Springfield has had professional baseball in the past, and according to its current mayor, remains intent on pursuing it in the future. The Springfield Giants of the Single– and Double-A Eastern League (baseball) played between 1957 and 1965. The team was quite successful, winning consecutive championships in 1959, 1960 and 1961, by startling coincidence the same seasons in which the Springfield Indians won three straight Calder Cup championships in hockey. The Giants played at Pynchon Park by the Connecticut River until relocating after the 1965 season. Pynchon Parks grandstands were destroyed by fire the year after in 1966. Before that time, the Springfield Cubs played in the minor league New England League from 1946 until 1949, after which the league folded; they then played in the International League until 1953. For many years before the Giants, Springfield was also a member of the Eastern League, between 1893 and 1943. In general, the team was named the Springfield Ponies, but it also carried the nicknames of "Maroons" (1895), "Green Sox" (1917), "Hampdens" (1920–21), "Rifles (1932, 1942–43) and "Nationals" (1939–41). The team located closest are the Valley Blue Sox of the New England Collegiate Baseball League who play their games in nearby Holyoke, but house their team offices at 100 Congress Street in Springfield. | How many years did the Giants win consecutive championships? | {
"spans": [
"3"
],
"types": [
"number"
]
} |
history_2849 | aa976438-1873-47f4-b061-eea625b00fcb | Springfield has had professional baseball in the past, and according to its current mayor, remains intent on pursuing it in the future. The Springfield Giants of the Single– and Double-A Eastern League (baseball) played between 1957 and 1965. The team was quite successful, winning consecutive championships in 1959, 1960 and 1961, by startling coincidence the same seasons in which the Springfield Indians won three straight Calder Cup championships in hockey. The Giants played at Pynchon Park by the Connecticut River until relocating after the 1965 season. Pynchon Parks grandstands were destroyed by fire the year after in 1966. Before that time, the Springfield Cubs played in the minor league New England League from 1946 until 1949, after which the league folded; they then played in the International League until 1953. For many years before the Giants, Springfield was also a member of the Eastern League, between 1893 and 1943. In general, the team was named the Springfield Ponies, but it also carried the nicknames of "Maroons" (1895), "Green Sox" (1917), "Hampdens" (1920–21), "Rifles (1932, 1942–43) and "Nationals" (1939–41). The team located closest are the Valley Blue Sox of the New England Collegiate Baseball League who play their games in nearby Holyoke, but house their team offices at 100 Congress Street in Springfield. | How many different nicknames did the Springfield Giants have? | {
"spans": [
"5"
],
"types": [
"number"
]
} |
history_2849 | 32b13870-8f35-4a33-88b1-5bbb278deaf7 | Springfield has had professional baseball in the past, and according to its current mayor, remains intent on pursuing it in the future. The Springfield Giants of the Single– and Double-A Eastern League (baseball) played between 1957 and 1965. The team was quite successful, winning consecutive championships in 1959, 1960 and 1961, by startling coincidence the same seasons in which the Springfield Indians won three straight Calder Cup championships in hockey. The Giants played at Pynchon Park by the Connecticut River until relocating after the 1965 season. Pynchon Parks grandstands were destroyed by fire the year after in 1966. Before that time, the Springfield Cubs played in the minor league New England League from 1946 until 1949, after which the league folded; they then played in the International League until 1953. For many years before the Giants, Springfield was also a member of the Eastern League, between 1893 and 1943. In general, the team was named the Springfield Ponies, but it also carried the nicknames of "Maroons" (1895), "Green Sox" (1917), "Hampdens" (1920–21), "Rifles (1932, 1942–43) and "Nationals" (1939–41). The team located closest are the Valley Blue Sox of the New England Collegiate Baseball League who play their games in nearby Holyoke, but house their team offices at 100 Congress Street in Springfield. | How many years did the Springfield Giants play? | {
"spans": [
"8"
],
"types": [
"number"
]
} |
history_2849 | 0cf0ad91-76de-4c1b-a563-285efefdfc99 | Springfield has had professional baseball in the past, and according to its current mayor, remains intent on pursuing it in the future. The Springfield Giants of the Single– and Double-A Eastern League (baseball) played between 1957 and 1965. The team was quite successful, winning consecutive championships in 1959, 1960 and 1961, by startling coincidence the same seasons in which the Springfield Indians won three straight Calder Cup championships in hockey. The Giants played at Pynchon Park by the Connecticut River until relocating after the 1965 season. Pynchon Parks grandstands were destroyed by fire the year after in 1966. Before that time, the Springfield Cubs played in the minor league New England League from 1946 until 1949, after which the league folded; they then played in the International League until 1953. For many years before the Giants, Springfield was also a member of the Eastern League, between 1893 and 1943. In general, the team was named the Springfield Ponies, but it also carried the nicknames of "Maroons" (1895), "Green Sox" (1917), "Hampdens" (1920–21), "Rifles (1932, 1942–43) and "Nationals" (1939–41). The team located closest are the Valley Blue Sox of the New England Collegiate Baseball League who play their games in nearby Holyoke, but house their team offices at 100 Congress Street in Springfield. | when did the Springfield Giants move? | {
"spans": [
"1965"
],
"types": [
"date"
]
} |
history_2849 | b5c4a5a4-07d5-4bd8-a33c-378728ec492c | Springfield has had professional baseball in the past, and according to its current mayor, remains intent on pursuing it in the future. The Springfield Giants of the Single– and Double-A Eastern League (baseball) played between 1957 and 1965. The team was quite successful, winning consecutive championships in 1959, 1960 and 1961, by startling coincidence the same seasons in which the Springfield Indians won three straight Calder Cup championships in hockey. The Giants played at Pynchon Park by the Connecticut River until relocating after the 1965 season. Pynchon Parks grandstands were destroyed by fire the year after in 1966. Before that time, the Springfield Cubs played in the minor league New England League from 1946 until 1949, after which the league folded; they then played in the International League until 1953. For many years before the Giants, Springfield was also a member of the Eastern League, between 1893 and 1943. In general, the team was named the Springfield Ponies, but it also carried the nicknames of "Maroons" (1895), "Green Sox" (1917), "Hampdens" (1920–21), "Rifles (1932, 1942–43) and "Nationals" (1939–41). The team located closest are the Valley Blue Sox of the New England Collegiate Baseball League who play their games in nearby Holyoke, but house their team offices at 100 Congress Street in Springfield. | How many years did the Cubs play in the minor New England League? | {
"spans": [
"3"
],
"types": [
"number"
]
} |
history_2978 | 1799e785-ae73-406e-be97-d1ba5163348b | Quoted at constant 2002 prices, GDP fell from £12 million in 1999-2000 to £11 million in 2005-2006. Imports are mainly from the UK and South Africa and amounted to £6.4 million in 2004-05 (quoted on an FOB basis). Exports are much smaller, amounting to £0.2 million in 2004-05. Exports are mainly fish and coffee; Philately sales were £0.06 million in 2004-2005. The limited number of visiting tourists spent about £0.4 million in 2004-2005, representing a contribution to GDP of 3%. | By how many millions of pounds did the GDP fall from 1999 to 2006? | {
"spans": [
"1"
],
"types": [
"number"
]
} |
history_2978 | ccb4efe0-92ff-4c0c-a908-9b4ac2d24b65 | Quoted at constant 2002 prices, GDP fell from £12 million in 1999-2000 to £11 million in 2005-2006. Imports are mainly from the UK and South Africa and amounted to £6.4 million in 2004-05 (quoted on an FOB basis). Exports are much smaller, amounting to £0.2 million in 2004-05. Exports are mainly fish and coffee; Philately sales were £0.06 million in 2004-2005. The limited number of visiting tourists spent about £0.4 million in 2004-2005, representing a contribution to GDP of 3%. | How many more millions of pounds were imports than exports? | {
"spans": [
"6.2"
],
"types": [
"number"
]
} |
history_4101 | 20a8ad17-b7e7-41c1-8360-bb8a6114bbee | The album debuted at number eight on the US Billboard 200 with first-week sales of 83,000 copies. Sales increased week by week, its best week being that of 3 January 1998 when it sold 284,000 copies. The album finally peaked at number three on 14 February, when Spice also returned to the top 10, making the Spice Girls the first British band to have two albums in the top 10 of the Billboard 200 at the same time since the Rolling Stones in summer 1975. The album sold 1.74 million copies in the first 12 weeks and 3.2 million in the first 10 months. It was certified four-times platinum by the Recording Industry Association of America (RIAA) on 19 May 1999, and by December 2007, it had sold 4.2 million copies in the US. In Canada, the album peaked at number two on the Canadian Albums Chart and was certified diamond by the Canadian Recording Industry Association (CRIA) for shipments of one million copies. Spiceworld was a big success in Canada, it was the groups second diamond-selling album and spent 43 weeks in the Top 10 and 60 weeks in the Top 20 album chart. Spiceworld had sold 13 million copies by the end of 1998, making it one of the worlds best-selling albums by a girl group. | How many dollars did Spice Girls make in the first 12 weeks and the first 10 months combined? | {
"spans": [
"4.94"
],
"types": [
"number"
]
} |
history_4101 | 95df349c-d964-49b9-b1ff-78860d00036a | The album debuted at number eight on the US Billboard 200 with first-week sales of 83,000 copies. Sales increased week by week, its best week being that of 3 January 1998 when it sold 284,000 copies. The album finally peaked at number three on 14 February, when Spice also returned to the top 10, making the Spice Girls the first British band to have two albums in the top 10 of the Billboard 200 at the same time since the Rolling Stones in summer 1975. The album sold 1.74 million copies in the first 12 weeks and 3.2 million in the first 10 months. It was certified four-times platinum by the Recording Industry Association of America (RIAA) on 19 May 1999, and by December 2007, it had sold 4.2 million copies in the US. In Canada, the album peaked at number two on the Canadian Albums Chart and was certified diamond by the Canadian Recording Industry Association (CRIA) for shipments of one million copies. Spiceworld was a big success in Canada, it was the groups second diamond-selling album and spent 43 weeks in the Top 10 and 60 weeks in the Top 20 album chart. Spiceworld had sold 13 million copies by the end of 1998, making it one of the worlds best-selling albums by a girl group. | How many more weeks did the album spend in the Top 20 than the Top 10 in Canada? | {
"spans": [
"17"
],
"types": [
"number"
]
} |
history_4101 | 7cdf7c59-9360-4376-b178-2b4b07a23958 | The album debuted at number eight on the US Billboard 200 with first-week sales of 83,000 copies. Sales increased week by week, its best week being that of 3 January 1998 when it sold 284,000 copies. The album finally peaked at number three on 14 February, when Spice also returned to the top 10, making the Spice Girls the first British band to have two albums in the top 10 of the Billboard 200 at the same time since the Rolling Stones in summer 1975. The album sold 1.74 million copies in the first 12 weeks and 3.2 million in the first 10 months. It was certified four-times platinum by the Recording Industry Association of America (RIAA) on 19 May 1999, and by December 2007, it had sold 4.2 million copies in the US. In Canada, the album peaked at number two on the Canadian Albums Chart and was certified diamond by the Canadian Recording Industry Association (CRIA) for shipments of one million copies. Spiceworld was a big success in Canada, it was the groups second diamond-selling album and spent 43 weeks in the Top 10 and 60 weeks in the Top 20 album chart. Spiceworld had sold 13 million copies by the end of 1998, making it one of the worlds best-selling albums by a girl group. | How many more copies were sold on January 3, 1998 than the first week of sales | {
"spans": [
"201000"
],
"types": [
"number"
]
} |
history_3562 | 9577ffd7-1ab7-400d-b2ce-238cbab3be85 | Of 3,142 counties in the United States in 2013, Clay County ranked 3,137 in the longevity of female residents and 3,109 in the longevity of male residents. Males in Clay County lived an average of 68.6 years and females lived an average of 73.6 years compared to the national average for longevity of 76.5 for males and 81.2 for females. Moreover, the average longevity in Clay County declined by 0.4 years for males and 3.4 years for females between 1985 and 2013 compared to a national average for the same period of an increased life span of 5.5 years for men and 3.1 years for women. High rates of smoking and obesity and a low level of physical activity appear to be contributing factors to the lowered longevity for both sexes. | How many counties ranked lower than Clay County in the longevity of female residents? | {
"spans": [
"5"
],
"types": [
"number"
]
} |
history_3562 | 171f45b6-0552-40c1-a796-5f2fe05eefc3 | Of 3,142 counties in the United States in 2013, Clay County ranked 3,137 in the longevity of female residents and 3,109 in the longevity of male residents. Males in Clay County lived an average of 68.6 years and females lived an average of 73.6 years compared to the national average for longevity of 76.5 for males and 81.2 for females. Moreover, the average longevity in Clay County declined by 0.4 years for males and 3.4 years for females between 1985 and 2013 compared to a national average for the same period of an increased life span of 5.5 years for men and 3.1 years for women. High rates of smoking and obesity and a low level of physical activity appear to be contributing factors to the lowered longevity for both sexes. | How many counties ranked lower than Clay County in the longevity of male residents? | {
"spans": [
"33"
],
"types": [
"number"
]
} |
history_3562 | 722c9789-12d7-4113-aee5-b8f48fe7985f | Of 3,142 counties in the United States in 2013, Clay County ranked 3,137 in the longevity of female residents and 3,109 in the longevity of male residents. Males in Clay County lived an average of 68.6 years and females lived an average of 73.6 years compared to the national average for longevity of 76.5 for males and 81.2 for females. Moreover, the average longevity in Clay County declined by 0.4 years for males and 3.4 years for females between 1985 and 2013 compared to a national average for the same period of an increased life span of 5.5 years for men and 3.1 years for women. High rates of smoking and obesity and a low level of physical activity appear to be contributing factors to the lowered longevity for both sexes. | How many fewer years on average did males in Clay County live than their national counterparts? | {
"spans": [
"7.9"
],
"types": [
"number"
]
} |
history_3562 | b3d2fdef-f528-42fe-8695-0f598fc7e37c | Of 3,142 counties in the United States in 2013, Clay County ranked 3,137 in the longevity of female residents and 3,109 in the longevity of male residents. Males in Clay County lived an average of 68.6 years and females lived an average of 73.6 years compared to the national average for longevity of 76.5 for males and 81.2 for females. Moreover, the average longevity in Clay County declined by 0.4 years for males and 3.4 years for females between 1985 and 2013 compared to a national average for the same period of an increased life span of 5.5 years for men and 3.1 years for women. High rates of smoking and obesity and a low level of physical activity appear to be contributing factors to the lowered longevity for both sexes. | How many more years did the longevity for women decline than men between 1985 and 2013? | {
"spans": [
"3"
],
"types": [
"number"
]
} |
history_3562 | dd623e0d-bad3-4da7-93f8-01579a2ee919 | Of 3,142 counties in the United States in 2013, Clay County ranked 3,137 in the longevity of female residents and 3,109 in the longevity of male residents. Males in Clay County lived an average of 68.6 years and females lived an average of 73.6 years compared to the national average for longevity of 76.5 for males and 81.2 for females. Moreover, the average longevity in Clay County declined by 0.4 years for males and 3.4 years for females between 1985 and 2013 compared to a national average for the same period of an increased life span of 5.5 years for men and 3.1 years for women. High rates of smoking and obesity and a low level of physical activity appear to be contributing factors to the lowered longevity for both sexes. | How many years did it take for female longevity in Clay County to drop 3.4 years? | {
"spans": [
"28"
],
"types": [
"number"
]
} |
history_3927 | f05b4e6d-ce13-47ab-b123-f60fdb3d505d | 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 concentration ranged from less than 0.5 to 0.664 milligrams per liter. The pH ranged between 6.5 and 6.7, with an average of 6.58. The acidity concentration was typically 0, but once reached 15.4 milligrams per liter. The alkalinity concentration ranged from 24 to 68 milligrams per liter (with an average of 44.37 milligrams per liter). The sulfate concentration ranged from 30.2 to 221 milligrams per liter, with an average of 104.78 milligrams per liter. | What three metals are measured in milligrams per liter of water? | {
"spans": [
"iron",
"aluminum",
"manganese"
],
"types": [
"span",
"span",
"span"
]
} |
history_3927 | 8b671f45-5652-4846-a797-9627928ace03 | 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 concentration ranged from less than 0.5 to 0.664 milligrams per liter. The pH ranged between 6.5 and 6.7, with an average of 6.58. The acidity concentration was typically 0, but once reached 15.4 milligrams per liter. The alkalinity concentration ranged from 24 to 68 milligrams per liter (with an average of 44.37 milligrams per liter). The sulfate concentration ranged from 30.2 to 221 milligrams per liter, with an average of 104.78 milligrams per liter. | How many milligrams difference is there in the high and low iron concentration in the Lackawanna River? | {
"spans": [
"9.29"
],
"types": [
"number"
]
} |
history_3927 | e429f57d-94f0-4fe9-b639-c5baf5577cb6 | 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 concentration ranged from less than 0.5 to 0.664 milligrams per liter. The pH ranged between 6.5 and 6.7, with an average of 6.58. The acidity concentration was typically 0, but once reached 15.4 milligrams per liter. The alkalinity concentration ranged from 24 to 68 milligrams per liter (with an average of 44.37 milligrams per liter). The sulfate concentration ranged from 30.2 to 221 milligrams per liter, with an average of 104.78 milligrams per liter. | Which does the Lackawanna River near Coxton Road have a lower average concentration of, iron or manganese? | {
"spans": [
"manganese"
],
"types": [
"span"
]
} |
history_3927 | c2453934-5495-4a17-aa51-7b2ccef69640 | 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 concentration ranged from less than 0.5 to 0.664 milligrams per liter. The pH ranged between 6.5 and 6.7, with an average of 6.58. The acidity concentration was typically 0, but once reached 15.4 milligrams per liter. The alkalinity concentration ranged from 24 to 68 milligrams per liter (with an average of 44.37 milligrams per liter). The sulfate concentration ranged from 30.2 to 221 milligrams per liter, with an average of 104.78 milligrams per liter. | Which has a higher range of concentration, alkalinity concentration or sulfate concentration? | {
"spans": [
"sulfate concentration"
],
"types": [
"span"
]
} |
history_4006 | c1e2b541-de48-4426-b2b1-d50a94bc7b54 | 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. | How many more percent of the population were people under the age of 18 over people from 18 to 24 and people 65 and over combined? | {
"spans": [
"6.8"
],
"types": [
"number"
]
} |
history_4006 | a10c1853-749f-4e26-9415-8a1d9b4e1b04 | 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. | How many more percent of the population were people under the age of 18 over people from 18 to 24 and people 65 and over combined? | {
"spans": [
"6.8"
],
"types": [
"number"
]
} |
history_4006 | a0ec31eb-56b8-4759-a905-fc475ebf908c | 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. | How many more percent of the population were people 25 to 44 over people from 18 to 24 and people 65 and over combined? | {
"spans": [
"16.4"
],
"types": [
"number"
]
} |
history_4006 | ce82f89e-f882-4e3a-a032-b82ee48262aa | 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. | How many more percent of the population were females over people from 18 to 24 and people 65 and over combined? | {
"spans": [
"34"
],
"types": [
"number"
]
} |
history_4006 | ad594bda-5076-4ef7-8656-91883f41a90c | 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. | How many more percent of the population were people from 18 to 24 and males combined over females? | {
"spans": [
"5.1"
],
"types": [
"number"
]
} |
history_4006 | c1c44c39-3ea0-4855-9db3-3401ae2a01fa | 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. | How many more percent of the population were females than people under age 18 and people from 45 to 64 combined? | {
"spans": [
"2.6"
],
"types": [
"number"
]
} |
history_4006 | f11ea217-02c4-44ea-b3fc-4e847c7913f5 | 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. | How many more people, in terms of percentage, were in the largest age group compared to the smallest? | {
"spans": [
"25.9"
],
"types": [
"number"
]
} |
history_4006 | d8d68999-ea88-4463-9d86-46144adfa792 | 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. | How many more people, in terms of percentage, were in the largest age group compared to the second smallest? | {
"spans": [
"24.3"
],
"types": [
"number"
]
} |
history_4006 | 0d21fa55-f87a-4cce-9397-24762a21a1a4 | 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. | How many more people, in terms of percentage, were in the second largest age group compared to the smallest? | {
"spans": [
"16.7"
],
"types": [
"number"
]
} |
history_4006 | f04e7006-05d4-474b-926e-f5bdbbd7033e | 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. | How many more people, in terms of percentage, were in the second largest age group compared to the second smallest? | {
"spans": [
"15.1"
],
"types": [
"number"
]
} |
history_4006 | f450832b-7b10-4568-8a47-b40ac9f15b12 | 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. | How many more people, in terms of percentage, were in the third largest age group compared to the smallest? | {
"spans": [
"16.3"
],
"types": [
"number"
]
} |
history_4006 | 96e64966-e975-4996-b45f-188be49c4856 | 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. | How many more people, in terms of percentage, were in the third largest age group compared to the second smallest? | {
"spans": [
"14.7"
],
"types": [
"number"
]
} |
history_4006 | 6dc80e21-8e4c-4e1b-9dd2-cda16de8753d | 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. | How many more people, in terms of percentage, were in the two biggest age groups combined compared to the third biggest age group? | {
"spans": [
"34.2"
],
"types": [
"number"
]
} |
history_4006 | 720c9f7a-16fd-4934-ac2c-87d558efca2a | 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. | How many percent of people were in the three biggest age groups combined? | {
"spans": [
"82.6"
],
"types": [
"number"
]
} |
history_4006 | 3f0edd79-30da-4432-9dff-5aadb34965c0 | 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. | Were more people between 25 to 44 or 45 and older? | {
"spans": [
"45 and older"
],
"types": [
"span"
]
} |
history_4006 | 4ebc48d7-a3fc-4333-af97-60085778fb43 | 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. | Were more people under the age of 18 or 45 and older? | {
"spans": [
"45 and older"
],
"types": [
"span"
]
} |
history_4006 | 59bfce57-942d-4bd4-b340-2da3331d8d4c | 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. | Were more people between 18 and 44 or 65 years of age and older? | {
"spans": [
"between 18 and 44"
],
"types": [
"span"
]
} |
history_4006 | 168e700c-c703-4cdb-a3df-cd8e96081a12 | 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. | Were more people between 18 and 44 or 45 and older? | {
"spans": [
"between 18 and 44"
],
"types": [
"span"
]
} |
history_4006 | cdd78e9c-84bf-4037-a46b-98674ecf571f | 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. | How many percent were not under the age of 18? | {
"spans": [
"75.8"
],
"types": [
"number"
]
} |
history_4006 | 7d29b78c-6b82-4159-9106-e28d267a7dd1 | 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. | How many percent were not from 18 to 24? | {
"spans": [
"66.2"
],
"types": [
"number"
]
} |
history_4006 | ad28e69d-f4a7-4f0f-9cdd-cbf182b1f998 | 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. | How many percent were not from 25 to 44? | {
"spans": [
"66.2"
],
"types": [
"number"
]
} |
history_4006 | 39704191-fcfd-4461-b5c0-6d77dd79473d | 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. | How many percent were not from 45 to 64? | {
"spans": [
"75.4"
],
"types": [
"number"
]
} |
history_4006 | bd59a220-3c3f-4778-a9c9-71f887104814 | 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. | How many percent were not 65 years of age or older? | {
"spans": [
"90.5"
],
"types": [
"number"
]
} |
history_4006 | 725658d3-ef0f-4955-b0a3-b07301832646 | 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. | How many more females per 100 were there than males? | {
"spans": [
"48.6"
],
"types": [
"number"
]
} |
history_4006 | 122e022a-b215-4979-9b9e-58de789236e8 | 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. | How many more females per 100 were there than males 18 or over? | {
"spans": [
"48.6"
],
"types": [
"number"
]
} |
history_4006 | 0e4f39b7-274f-4ab1-96d1-edf65fa62722 | 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. | Which age group had the most people? | {
"spans": [
"25 to 44"
],
"types": [
"span"
]
} |
history_4006 | 236d34e5-cba5-4bd5-9787-196bc0996dce | 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. | Which age group had the least people? | {
"spans": [
"18 and 24"
],
"types": [
"span"
]
} |
history_4006 | 75329232-501c-47d0-9697-51ad7106675d | 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. | Which age group had the second most people? | {
"spans": [
"45 to 64"
],
"types": [
"span"
]
} |
history_4006 | e2e4aa5f-16c3-41ed-8c0b-b82b0c0d02c7 | 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. | Which age group had the third most people? | {
"spans": [
"under the age of 18"
],
"types": [
"span"
]
} |
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